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YouTube, the world's biggest video-sharing platform, is cracking down on AI-generated slop, a monster of its own creation, at least in part. The irony is that Google and Alphabet, YouTube's parent companies, are creating and promoting AI tools for content generation, with products and models including Gemini AI, Veo, Nano Banana, and Dream Screen. Now, millions of videos and thousands of YT channels face the risk of demonetisation or even removal. The guidance from YouTube is confusing at best, making it difficult for creators to navigate AI-assisted content. If you are a creator hoping to monetise your YouTube channel using AI, here's what you should know.<h2>YouTube AI crackdown: What's likely to be demonetised and what's fine with AI use?</h2>The updated monetisation policies appear to target ‘AI slop’, although YouTube has not used that specific term, which refers to low-quality, mass-produced, repetitive, generic, template-based, or inauthentic AI-generated content. YouTube says it will continue to allow responsible, original, and value-adding content that uses AI.The main update came on 14 July, when YouTube clarified and renamed its existing "repetitious content" policy as the "inauthentic content" policy. This marks another step in the platform's long-running effort to tackle low-effort, spammy, and reused content rather than AI itself.YouTube's Channel Monetisation Policies and its Generative AI disclosure guidelines provide details on what qualifies for monetisation and when creators must disclose realistic AI-generated or altered content. In a recent video, YouTube's Vice President of Trust and Safety, Matt Halprin, described inauthentic content as generic, repetitive, "off-putting", and emotionally manipulative. He also highlighted AI personas - virtual avatars offering advice on subjects ranging from health to finance. Such content could be demonetised under the YouTube Partner Programme (YPP) guidelines if it lacks originality or meaningful human contribution.&nbsp;However,&nbsp;Content that may not be monetised includes mass-produced slideshows with similar AI narration, near-identical videos, or formulaic repetitive uploads. Unsatisfying or off-putting content could also be penalised, particularly emotionally manipulative, shock-oriented, or interchangeable videos designed purely to generate views and engagement.AI-generated "expert" personas dispensing advice on health, finance, legal matters, or politics could also face demonetisation if they are mass-produced, low-value, or created with minimal human oversight or creative input.Also read: <a href="https://www.wionews.com/technology/-200-billion-views-a-day-on-shorts-youtube-bets-big-on-ai-creators-may-soon-get-to-use-ai-likenesses-1769080738659">'200 billion views a day on Shorts': YouTube bets big on AI, creators may soon get to use AI likenesses</a><h2>What's fine on YouTube with AI use?</h2>YouTube insists AI is not banned. The focus remains on originality, creativity, and viewer value. The crackdown is aimed at low-effort spam farms, not creators using AI as a production tool.Original, creative, or educational content with substantial human input, unique value, or a clear creative vision remains eligible for monetisation, even if AI tools are used for editing, scripting, visuals, or other production tasks.Properly disclosed realistic AI-generated or AI-altered content, using YouTube Studio's disclosure tools, should be fine, mostly. Although an "AI" label may appear on such videos, it does not automatically affect monetisation eligibility or recommendations. Non-realistic AI content used for animation, visual effects, or production assistance may not require disclosure. High-quality AI-assisted videos that viewers find satisfying and non-repetitive are also expected to remain monetisable.YouTube continues to promote its own AI tools, including Dream Screen and Creator AI features, provided the final content adds genuine value.&nbsp;Disclosure requirements have existed for more than a year, particularly to combat deepfakes involving real people, fabricated events, and photorealistic AI-generated scenes. Failure to disclose such content could lead to penalties.<a href="https://www.wionews.com/videos/google-settles-android-tv-antitrust-case-in-india-pays-2-3-million-8990436/embed">https://www.wionews.com/videos/google-settles-android-tv-antitrust-case-in-india-pays-2-3-million-8990436/embed</a><h2>AI slop: The growth of mass-produced content on YouTube</h2>An analysis by video-editing platform Kapwing found that channels producing only AI slop amassed tens of billions of views and hundreds of millions of subscribers, generating an estimated US$117 million a year in revenue. It estimated that more than 20 per cent of content recommended by YouTube's algorithm to new users consisted of AI slop or low-quality "brainrot". Several AI-only channels grew from zero to tens of millions of subscribers within months through such mass production.&nbsp;Meanwhile, demand for AI video-generation tools continues to surge, with platforms reporting hundreds of millions of AI-generated videos.Also read: <a href="https://www.wionews.com/entertainment/viral-sensation-to-timeless-hit-psy-s-gangnam-style-hits-6-billion-youtube-views-after-14-years-1784570378800">Viral sensation to timeless hit! PSY's 'Gangnam Style' hits 6 billion YouTube views after 14 years</a><h2>The irony of AI slop: YouTube is dealing with a monster that Google and Alphabet helped create</h2>Google and YouTube heavily promoted their own generative AI tools, including Gemini, Veo, Nano Banana, and Dream Screen. Now they are attempting to curb a flood of low-quality AI content, much of it showcased through YouTube videos, Shorts, and creator promotions. In recent months, YouTube Chief Executive Officer Neal Mohan has described AI as a "new creative frontier" in interviews, keynote speeches, company announcements and blog posts, even as the platform simultaneously builds systems to limit the AI slop it helped accelerate.YouTube is now grappling with the scalable downsides of the technology it developed and promoted. Labelling requirements, AI detection systems, and likeness protection tools are all attempts to address the problem. But the floodgates are already open, and pushing the water back will not be easy. At worst, the changing policies could confuse creators and discourage some from treating YouTube as a viable source of full-time or supplementary income.

YouTube is tightening monetisation rules for AI-generated slop. This will target repetitive and inauthentic content while allowing original, value-adding AI-assisted videos that meet disclosure requirements. Here is what you should know if you are a creator



YouTube, the world's biggest video-sharing platform, is cracking down on AI-generated slop, a monster of its own creation, at least in part. The irony is that Google and Alphabet, YouTube's parent companies, are creating and promoting AI tools for content generation, with products and models including Gemini AI, Veo, Nano Banana, and Dream Screen. Now, millions of videos and thousands of YT channels face the risk of demonetisation or even removal. The guidance from YouTube is confusing at best, making it difficult for creators to navigate AI-assisted content. If you are a creator hoping to monetise your YouTube channel using AI, here's what you should know. YouTube AI crackdown: What's likely to be demonetised and what's fine with AI use? The updated monetisation policies appear to target ‘AI slop’, although YouTube has not used that specific term, which refers to low-quality, mass-produced, repetitive, generic, template-based, or inauthentic AI-generated content. YouTube says it will continue to allow responsible, original, and value-adding content that uses AI. The main update came on 14 July, when YouTube clarified and renamed its existing "repetitious content" policy as the "inauthentic content" policy. This marks another step in the platform's long-running effort to tackle low-effort, spammy, and reused content rather than AI itself. YouTube's Channel Monetisation Policies and its Generative AI disclosure guidelines provide details on what qualifies for monetisation and when creators must disclose realistic AI-generated or altered content. In a recent video, YouTube's Vice President of Trust and Safety, Matt Halprin, described inauthentic content as generic, repetitive, "off-putting", and emotionally manipulative. He also highlighted AI personas - virtual avatars offering advice on subjects ranging from health to finance. Such content could be demonetised under the YouTube Partner Programme (YPP) guidelines if it lacks originality or meaningful human contribution. However, Content that may not be monetised includes mass-produced slideshows with similar AI narration, near-identical videos, or formulaic repetitive uploads. Unsatisfying or off-putting content could also be penalised, particularly emotionally manipulative, shock-oriented, or interchangeable videos designed purely to generate views and engagement. AI-generated "expert" personas dispensing advice on health, finance, legal matters, or politics could also face demonetisation if they are mass-produced, low-value, or created with minimal human oversight or creative input. Also read: '200 billion views a day on Shorts': YouTube bets big on AI, creators may soon get to use AI likenesses What's fine on YouTube with AI use? YouTube insists AI is not banned. The focus remains on originality, creativity, and viewer value. The crackdown is aimed at low-effort spam farms, not creators using AI as a production tool. Original, creative, or educational content with substantial human input, unique value, or a clear creative vision remains eligible for monetisation, even if AI tools are used for editing, scripting, visuals, or other production tasks. Properly disclosed realistic AI-generated or AI-altered content, using YouTube Studio's disclosure tools, should be fine, mostly. Although an "AI" label may appear on such videos, it does not automatically affect monetisation eligibility or recommendations. Non-realistic AI content used for animation, visual effects, or production assistance may not require disclosure. High-quality AI-assisted videos that viewers find satisfying and non-repetitive are also expected to remain monetisable. YouTube continues to promote its own AI tools, including Dream Screen and Creator AI features, provided the final content adds genuine value. Disclosure requirements have existed for more than a year, particularly to combat deepfakes involving real people, fabricated events, and photorealistic AI-generated scenes. Failure to disclose such content could lead to penalties. https://www.wionews.com/videos/google-settles-android-tv-antitrust-case-in-india-pays-2-3-million-8990436/embed AI slop: The growth of mass-produced content on YouTube An analysis by video-editing platform Kapwing found that channels producing only AI slop amassed tens of billions of views and hundreds of millions of subscribers, generating an estimated US$117 million a year in revenue. It estimated that more than 20 per cent of content recommended by YouTube's algorithm to new users consisted of AI slop or low-quality "brainrot". Several AI-only channels grew from zero to tens of millions of subscribers within months through such mass production. Meanwhile, demand for AI video-generation tools continues to surge, with platforms reporting hundreds of millions of AI-generated videos. Also read: Viral sensation to timeless hit! PSY's 'Gangnam Style' hits 6 billion YouTube views after 14 years The irony of AI slop: YouTube is dealing with a monster that Google and Alphabet helped create Google and YouTube heavily promoted their own generative AI tools, including Gemini, Veo, Nano Banana, and Dream Screen. Now they are attempting to curb a flood of low-quality AI content, much of it showcased through YouTube videos, Shorts, and creator promotions. In recent months, YouTube Chief Executive Officer Neal Mohan has described AI as a "new creative frontier" in interviews, keynote speeches, company announcements and blog posts, even as the platform simultaneously builds systems to limit the AI slop it helped accelerate. YouTube is now grappling with the scalable downsides of the technology it developed and promoted. Labelling requirements, AI detection systems, and likeness protection tools are all attempts to address the problem. But the floodgates are already open, and pushing the water back will not be easy. At worst, the changing policies could confuse creators and discourage some from treating YouTube as a viable source of full-time or supplementary income.

YouTube is tightening monetisation rules for AI-generated slop. This will target repetitive and inauthentic content while allowing original, value-adding AI-assisted videos that meet disclosure requirements. Here is what you should know if you are a creator&nbsp;

YouTube cracks down on AI slop, but didn't it help create the monster? Your channel will be demonetised if...

Google may be preparing one of its biggest hardware upgrades in the artificial intelligence race. According to a report by The Information, the company is developing a new custom AI server chip internally known as Frozen v2. Unlike Google's existing Tensor Processing Units (TPUs), the new processor is reportedly designed specifically to run Gemini models faster while using far less electricity. The report excited investors, sending Alphabet shares up about 3 per cent on Monday, as markets viewed the project as a potential answer to Google's growing demand for AI computing power. Google has not confirmed the existence of Frozen v2, but said its teams are constantly researching new hardware and software technologies to improve AI performance and efficiency.<h2>What makes Frozen v2 different?</h2>Today's AI chips are built to support many different types of machine learning workloads.Frozen v2 reportedly takes a much more specialised approach. Instead of relying solely on software, parts of Gemini's architecture would be permanently embedded into the silicon itself. This reduces unnecessary calculations and data movement every time the AI responds to a query. According to engineers cited by The Information, Frozen v2 could deliver six to ten times more AI tokens per unit of power than Google's newest TPUs.In simple terms, that means Gemini could answer more questions while consuming significantly less energy one of the biggest challenges facing the AI industry today.<h2>Why Google needs a new AI chip</h2>Running advanced AI models has become incredibly expensive. Every chatbot response requires massive computing resources, and demand continues to grow as more businesses adopt generative AI. The report says Google has been struggling with an internal shortage of AI computing capacity, forcing difficult decisions over where those resources are allocated. The company has even reportedly relied on external infrastructure to meet enterprise demand. Frozen v2 is designed to ease that pressure by making Gemini much more efficient without requiring the same increase in computing hardware.However, there is a trade-off.Because the chip is optimised for Gemini's current architecture, major changes to future AI models could reduce its usefulness. That is reportedly why Google views Frozen v2 as an experimental project rather than a full replacement for its TPUs.<h2>Hardware is becoming the next AI battleground</h2>The reported chip comes at a crucial time for Google.The company is facing intense competition from OpenAI, Anthropic, Moonshot AI and Alibaba, while reports suggest the launch of Gemini 3.5 Pro has been delayed. At the same time, demand for AI infrastructure continues to surge as companies look for faster, cheaper and more energy-efficient ways to deploy large language models.Increasingly, success in artificial intelligence is no longer determined only by better models. The companies that build the most efficient chips may also gain a significant competitive advantage. If Frozen v2 reaches production around the reported 2028 target, it could become one of Google's most important AI hardware projects, helping the company reduce costs while scaling Gemini to billions of users worldwide.

Google is reportedly developing Frozen v2, a custom AI chip built specifically for Gemini. The processor could deliver six to ten times more AI tokens per unit of power than current TPUs, potentially helping Google lower AI costs and compete more effectively with OpenAI and Anthropic.


Google may be preparing one of its biggest hardware upgrades in the artificial intelligence race. According to a report by The Information, the company is developing a new custom AI server chip internally known as Frozen v2. Unlike Google's existing Tensor Processing Units (TPUs), the new processor is reportedly designed specifically to run Gemini models faster while using far less electricity. The report excited investors, sending Alphabet shares up about 3 per cent on Monday, as markets viewed the project as a potential answer to Google's growing demand for AI computing power. Google has not confirmed the existence of Frozen v2, but said its teams are constantly researching new hardware and software technologies to improve AI performance and efficiency. What makes Frozen v2 different? Today's AI chips are built to support many different types of machine learning workloads. Frozen v2 reportedly takes a much more specialised approach. Instead of relying solely on software, parts of Gemini's architecture would be permanently embedded into the silicon itself. This reduces unnecessary calculations and data movement every time the AI responds to a query. According to engineers cited by The Information, Frozen v2 could deliver six to ten times more AI tokens per unit of power than Google's newest TPUs. In simple terms, that means Gemini could answer more questions while consuming significantly less energy one of the biggest challenges facing the AI industry today. Why Google needs a new AI chip Running advanced AI models has become incredibly expensive. Every chatbot response requires massive computing resources, and demand continues to grow as more businesses adopt generative AI. The report says Google has been struggling with an internal shortage of AI computing capacity, forcing difficult decisions over where those resources are allocated. The company has even reportedly relied on external infrastructure to meet enterprise demand. Frozen v2 is designed to ease that pressure by making Gemini much more efficient without requiring the same increase in computing hardware. However, there is a trade-off. Because the chip is optimised for Gemini's current architecture, major changes to future AI models could reduce its usefulness. That is reportedly why Google views Frozen v2 as an experimental project rather than a full replacement for its TPUs. Hardware is becoming the next AI battleground The reported chip comes at a crucial time for Google. The company is facing intense competition from OpenAI, Anthropic, Moonshot AI and Alibaba, while reports suggest the launch of Gemini 3.5 Pro has been delayed. At the same time, demand for AI infrastructure continues to surge as companies look for faster, cheaper and more energy-efficient ways to deploy large language models. Increasingly, success in artificial intelligence is no longer determined only by better models. The companies that build the most efficient chips may also gain a significant competitive advantage. If Frozen v2 reaches production around the reported 2028 target, it could become one of Google's most important AI hardware projects, helping the company reduce costs while scaling Gemini to billions of users worldwide.

Google is reportedly developing Frozen v2, a custom AI chip built specifically for Gemini. The processor could deliver six to ten times more AI tokens per unit of power than current TPUs, potentially helping Google lower AI costs and compete more effectively with OpenAI and Anthropic.

Google's secret 'Frozen v2' AI chip could make Gemini up to 10 times more efficient, report says

A new cyber scam is being probed in Kerala, in which Congress politicians from the south Indian state were contacted with offers of ministerial berths in exchange for payments of up to ₹3 crore (30 million rupees). The Kerala Cyber Police are investigating this online impersonation scam, according to reports in Mathrubhumi, SouthFirst and other media outlets.<h2>Cyber scam for Cabinet berths: What really happened in Kerala?</h2>Earlier this month, Vidya Balakrishnan, the Member of the Legislative Assembly (MLA) from the Elathur constituency, received a WhatsApp call from a person posing as DS Rajkumar, the private secretary to Congress leader and Member of Parliament Priyanka Gandhi Vadra. Reports said the caller claimed that a Kerala Cabinet reshuffle was going to happen soon and offered Balakrishnan a ministerial position in exchange for money. The caller, who spoke in English, said that an MP from Kozhikode district had shared her contact details. Balakrishnan played along briefly before verifying the claim with Priyanka Gandhi. The reports said, Priyanka Gandhi sent a voice note of the real DS Rajkumar for comparison, which did not match the voice of the caller. Balakrishnan then filed a formal complaint with the Kozhikode City Police Commissioner.<a href="https://www.wionews.com/videos/interpol-cybercrime-crackdown-nabs-5-800-fraud-suspects-1783680156183/embed">https://www.wionews.com/videos/interpol-cybercrime-crackdown-nabs-5-800-fraud-suspects-1783680156183/embed</a><h2>Same fraudsters targeted other politicians</h2>Police said that calls from the same number, 9540575524, were also made to Vadakara MP Shafi Parambil and Idukki MP Dean Kuriakose with similar offers. Kuriakose ended the call after becoming suspicious. On July 15, the Cyber Police in Wayanad registered a First Information Report (FIR) based on a complaint by Rajkumar, Priyanka Gandhi's private secretary, alleging that someone had impersonated him in an attempt to cheat elected representatives.Also read: <a href="https://www.wionews.com/trending/how-to-spot-a-digital-arrest-scam-before-you-lose-money-red-flags-you-cannot-miss-wion-decodes-1782465781683">How to spot a digital arrest scam before you lose money, 5 red flags you cannot miss | WION Decodes</a><h2>Police action and investigation</h2>Both Wayanad and Kozhikode police are probing the case. A special police team travelled to New Delhi after tracing the SIM card's registered address and location there. The case has been registered under the Bharatiya Nyaya Sanhita (BNS) sections relating to cheating and personation, as well as Section 66D of the Information Technology Act, 2000, on cheating by personation using computer resources.<h2>Mule SIM and spoofing: Police suspect an organised fraud</h2>The call may have been made using a mule SIM, a mobile number registered in another person's name but controlled by fraudsters. Mule SIMs are commonly used to conceal the identity of the real perpetrator. Police said the SIM card was procured in Delhi. Police are trying to determine whether the case is part of a larger organised fraud network.In the past, similar impersonation scams have been reported in so-called "digital arrest" frauds, in which criminals pose as law enforcement or government officials and use spoofed calls to appear as though they originate from genuine government agencies or official phone numbers. Spoofing technique falsifies the caller ID or other identifying information to make the call appear to come from a trusted source.&nbsp;Also read: <a href="https://www.wionews.com/india-news/former-pm-s-son-an-ex-rajya-sabha-mp-duped-of-rs-7-80-crore-in-cyber-fraud-1781784940388">Former PM’s son, an ex-Rajya Sabha MP, duped of Rs 7.80 crore in cyber fraud</a><h2>Money-for-posts allegations are not new in India</h2>The scam attempt should be viewed in the context of past allegations involving money in exchange for key posts in Indian politics. However, at the time of writing, there is no evidence of any involvement by any political party or government in the Kerala impersonation case. The cyber impersonation appears to be an attempt to exploit political ambitions and trusted contacts through WhatsApp-based fraud, rather than evidence of any genuine political appointment process.

A caller impersonating Priyanka Gandhi's personal secretary contacted several Kerala politicians, offering cabinet berths in exchange for money. Police are investigating the cyber fraud 



A new cyber scam is being probed in Kerala, in which Congress politicians from the south Indian state were contacted with offers of ministerial berths in exchange for payments of up to ₹3 crore (30 million rupees). The Kerala Cyber Police are investigating this online impersonation scam, according to reports in Mathrubhumi, SouthFirst and other media outlets. Cyber scam for Cabinet berths: What really happened in Kerala? Earlier this month, Vidya Balakrishnan, the Member of the Legislative Assembly (MLA) from the Elathur constituency, received a WhatsApp call from a person posing as DS Rajkumar, the private secretary to Congress leader and Member of Parliament Priyanka Gandhi Vadra. Reports said the caller claimed that a Kerala Cabinet reshuffle was going to happen soon and offered Balakrishnan a ministerial position in exchange for money. The caller, who spoke in English, said that an MP from Kozhikode district had shared her contact details. Balakrishnan played along briefly before verifying the claim with Priyanka Gandhi. The reports said, Priyanka Gandhi sent a voice note of the real DS Rajkumar for comparison, which did not match the voice of the caller. Balakrishnan then filed a formal complaint with the Kozhikode City Police Commissioner. https://www.wionews.com/videos/interpol-cybercrime-crackdown-nabs-5-800-fraud-suspects-1783680156183/embed Same fraudsters targeted other politicians Police said that calls from the same number, 9540575524, were also made to Vadakara MP Shafi Parambil and Idukki MP Dean Kuriakose with similar offers. Kuriakose ended the call after becoming suspicious. On July 15, the Cyber Police in Wayanad registered a First Information Report (FIR) based on a complaint by Rajkumar, Priyanka Gandhi's private secretary, alleging that someone had impersonated him in an attempt to cheat elected representatives. Also read: How to spot a digital arrest scam before you lose money, 5 red flags you cannot miss | WION Decodes Police action and investigation Both Wayanad and Kozhikode police are probing the case. A special police team travelled to New Delhi after tracing the SIM card's registered address and location there. The case has been registered under the Bharatiya Nyaya Sanhita (BNS) sections relating to cheating and personation, as well as Section 66D of the Information Technology Act, 2000, on cheating by personation using computer resources. Mule SIM and spoofing: Police suspect an organised fraud The call may have been made using a mule SIM, a mobile number registered in another person's name but controlled by fraudsters. Mule SIMs are commonly used to conceal the identity of the real perpetrator. Police said the SIM card was procured in Delhi. Police are trying to determine whether the case is part of a larger organised fraud network. In the past, similar impersonation scams have been reported in so-called "digital arrest" frauds, in which criminals pose as law enforcement or government officials and use spoofed calls to appear as though they originate from genuine government agencies or official phone numbers. Spoofing technique falsifies the caller ID or other identifying information to make the call appear to come from a trusted source. Also read: Former PM’s son, an ex-Rajya Sabha MP, duped of Rs 7.80 crore in cyber fraud Money-for-posts allegations are not new in India The scam attempt should be viewed in the context of past allegations involving money in exchange for key posts in Indian politics. However, at the time of writing, there is no evidence of any involvement by any political party or government in the Kerala impersonation case. The cyber impersonation appears to be an attempt to exploit political ambitions and trusted contacts through WhatsApp-based fraud, rather than evidence of any genuine political appointment process.

A caller impersonating Priyanka Gandhi's personal secretary contacted several Kerala politicians, offering cabinet berths in exchange for money. Police are investigating the cyber fraud&nbsp;&nbsp;

Ministerial berths for money: Kerala Police probe cyber fraud impersonating Priyanka Gandhi's private secretary

Artificial intelligence is no longer just changing how people work it could also change who gets to manage the work. Speaking on the Invest Like The Best podcast, Airbnb CEO Brian Chesky said one entire layer of corporate hierarchy could disappear as AI becomes more capable. According to Chesky, traditional "people managers" whose primary role is holding meetings, coordinating teams and passing information between departments may no longer have a place in many organisations."I don't think people managers have any value in the future," Chesky said, adding that leaders who spend most of their time in recurring one-on-one meetings are unlikely to thrive in the AI era.<h2>AI is replacing coordination, not leadership</h2>Chesky argued that AI can increasingly perform many of the administrative tasks that have traditionally justified middle management. Scheduling work, summarising meetings, generating reports, tracking projects and sharing information across teams are all becoming easier with AI tools.That does not mean management itself will disappear. Instead, Chesky believes the role of a manager is changing. Future leaders will need to contribute directly to the work they oversee rather than simply supervising others. "You don't manage the people, you manage the work," he said, explaining that lawyers should analyse legal cases, engineers should build products and product leaders should stay closely involved in execution.Tech CEOs are sending the same message<h2>Chesky is not alone in this view.</h2>Earlier this week, Coinbase CEO Brian Armstrong announced the company would eliminate what he called "pure managers" during layoffs affecting about 14 per cent of employees. Armstrong said AI now enables engineers to complete projects in days that previously required weeks of teamwork. Meanwhile, Block CEO Jack Dorsey has argued there is "no need for a permanent middle management layer". His company has reorganised around three types of employees: individual contributors, directly responsible owners and "player-coaches" who both lead and build. The common message from technology leaders is that managers who only coordinate work face growing pressure, while those with technical expertise or specialist knowledge are likely to remain valuable.<h2>Why this matters beyond Silicon Valley</h2>The shift is already influencing businesses far beyond the technology sector. Research firm Gartner predicts that by 2026, 20 per cent of organisations will use AI to eliminate more than half of their middle-management positions. The biggest risk is expected to fall on roles centred around administration, reporting and coordination rather than direct problem-solving. For professionals, the message is becoming increasingly clear: future career growth may depend less on managing people and more on developing expertise that AI cannot easily replace. As AI becomes part of everyday business operations, companies appear to be moving towards flatter structures where managers are expected to build, solve problems and make decisions not simply oversee the people who do.

Airbnb CEO Brian Chesky says AI could eliminate traditional middle management as automation takes over coordination and reporting. His comments come as Coinbase, Block and other tech firms rethink corporate hierarchies, with experts predicting fewer management layers in the AI era.


Artificial intelligence is no longer just changing how people work it could also change who gets to manage the work. Speaking on the Invest Like The Best podcast, Airbnb CEO Brian Chesky said one entire layer of corporate hierarchy could disappear as AI becomes more capable. According to Chesky, traditional "people managers" whose primary role is holding meetings, coordinating teams and passing information between departments may no longer have a place in many organisations. "I don't think people managers have any value in the future," Chesky said, adding that leaders who spend most of their time in recurring one-on-one meetings are unlikely to thrive in the AI era. AI is replacing coordination, not leadership Chesky argued that AI can increasingly perform many of the administrative tasks that have traditionally justified middle management. Scheduling work, summarising meetings, generating reports, tracking projects and sharing information across teams are all becoming easier with AI tools. That does not mean management itself will disappear. Instead, Chesky believes the role of a manager is changing. Future leaders will need to contribute directly to the work they oversee rather than simply supervising others. "You don't manage the people, you manage the work," he said, explaining that lawyers should analyse legal cases, engineers should build products and product leaders should stay closely involved in execution. Tech CEOs are sending the same message Chesky is not alone in this view. Earlier this week, Coinbase CEO Brian Armstrong announced the company would eliminate what he called "pure managers" during layoffs affecting about 14 per cent of employees. Armstrong said AI now enables engineers to complete projects in days that previously required weeks of teamwork. Meanwhile, Block CEO Jack Dorsey has argued there is "no need for a permanent middle management layer". His company has reorganised around three types of employees: individual contributors, directly responsible owners and "player-coaches" who both lead and build. The common message from technology leaders is that managers who only coordinate work face growing pressure, while those with technical expertise or specialist knowledge are likely to remain valuable. Why this matters beyond Silicon Valley The shift is already influencing businesses far beyond the technology sector. Research firm Gartner predicts that by 2026, 20 per cent of organisations will use AI to eliminate more than half of their middle-management positions. The biggest risk is expected to fall on roles centred around administration, reporting and coordination rather than direct problem-solving. For professionals, the message is becoming increasingly clear: future career growth may depend less on managing people and more on developing expertise that AI cannot easily replace. As AI becomes part of everyday business operations, companies appear to be moving towards flatter structures where managers are expected to build, solve problems and make decisions not simply oversee the people who do.

Airbnb CEO Brian Chesky says AI could eliminate traditional middle management as automation takes over coordination and reporting. His comments come as Coinbase, Block and other tech firms rethink corporate hierarchies, with experts predicting fewer management layers in the AI era.

AI will wipe out an entire layer of managers, Airbnb CEO Brian Chesky warns

West Asia conflicts have continuously reminded the world of a severe energy dependency, which marks not only a temporary inconvenience but a structural vulnerability. For a rapidly growing economy like India, which imports more than 85 per cent of its crude oil to meet domestic demand, energy security and economic resilience have long been major challenges. Over the last 10 years, the current government has consistently emphasised green energy, focusing on the advancement of technology without much carbon emission, unlike developed nations. The most focused area has always been the transport sector, with the aim of decarbonisation. In response, multiple schemes have been rolled out to support Electric Vehicles (EVs) and create long-term demand.<h3>Entrance of retrofitting</h3>Taking the initiative has begun to show results, with EVs now accounting for 8.5 per cent of total new vehicle sales in India in FY25-26. However, the transition is happening in new vehicle sales, while the existing pool of over 30 crore Internal Combustion Engine (ICE) vehicles on Indian roads continues to run entirely on imported petroleum. That is where vehicle retrofitting enters the arena, in which it replaces a vehicle’s engine, exhaust system, and related components with an electric battery pack, motor, and control systems to convert it into an EV. The case for retrofitting is strongest when viewed through India’s own cultural and economic lens. &nbsp;India has always valued repair, reuse, refurbishment, and life extension. Even when it comes to household appliances and electronics, the instinct has traditionally been to maximise utility before replacement.&nbsp;Also read: <a href="https://www.wionews.com/india-news/how-is-opening-india-s-space-sector-to-private-firms-transforming-the-industry-explaind-1784287433329">How is opening India's space sector to private firms transforming the industry? EXPLAINED</a><h3>Reinvesting in current assets</h3>Emphasising the re-use of existing vehicles, Ayush Misra, Co-founder and CEO of AmpereHour Energy, said that India's shift towards electric mobility should focus not only on replacing existing vehicles but also on reinvesting in current assets while accelerating electrification. Misra stated that the country's transition to electric vehicles presents a strategic decision that will shape the future of transportation as well as the country's long-term energy security. He noted that with the transport sector accounting for a significant share of petroleum consumption and India importing nearly 85 per cent of its crude oil requirements, reducing dependence on fossil fuels has become an economic necessity. "With the transport sector accounting for a major share of petroleum consumption and India importing nearly 85 per cent of its crude oil requirements, reducing fossil fuel dependency has become an economic necessity. While EV adoption continues to grow, the real opportunity lies in building an integrated energy ecosystem that combines electrified commercial fleets, Battery Energy Storage Systems (BESS), battery repurposing, renewable energy, and intelligent charging infrastructure," Misra told WION. "Highway EV charging stations, often located in remote or weak-grid areas, can be powered through DC-coupled solar and BESS, where solar energy is stored and supplied directly to high-voltage DC fast chargers via DC-DC converters, eliminating unnecessary AC conversion. This architecture improves energy efficiency, reduces transmission losses, enhances charging reliability, and enables faster deployment of off-grid charging corridors," he added. He further added that a combination of indigenous innovation, advanced energy storage technologies and supportive policy frameworks could spur EV adoption, reduce crude oil imports, bolster the energy resilience of India and help to set up and design a cleaner, more self-reliant and globally competitive mobility ecosystem.<h3>Economically viable</h3>Highlighting the role in avoiding scarppage of old vehicles, Anand Kabra, Chairman and Managing Director at Kabra Extrusiontechnik Limited &amp; &nbsp;Geon - Green Energy ON, noted that recycling of the batteries used in vehicles and different sources of renewable energy will play a significant role in making the most of this transition. Formulating a sustainable EV and energy storage system will help India become economically viable during imports, improving the resilience of the grid and make closer to the energy future.&nbsp;"Electrification of mobility in India is not only a transition from the use of conventional vehicles to the use of electric vehicles. It is an attempt to build India's energy security. Every electric vehicle contributes to making us less dependent on imported crude oil and increases demand for energy sources of clean transportation that we produce at home. But at the same time, this process should be regarded as an investment in the sustainable energy system, not as scrapping old vehicles. Investment in charging infrastructure for EVs, in developing batteries and their systems, battery recycling and renewable energy sources will play a key role in making the most of this transition. Building a sustainable EV and energy storage system will allow India to save money on imports, improve the resilience of the grid and move closer to the energy future," Kabra said. Across the world, regions like Europe and Nepal are already adopting these circular models. In India, early versions of the FAME scheme supported retrofitting, and states like Madhya Pradesh are pioneering new ecosystems with streamlined agency registrations and upfront subsidies. While market confidence is rising, evidenced by inquiries doubling following recent global oil anxieties, the regulatory framework lags behind. To fully leverage this potential, India required a joint retrofitment framework across the state, enabling formal banking credit for converted vehicles, and establishing strict safety certifications to eliminate unsafe, informal mechanics.

India has always valued repair, reuse, refurbishment, and life extension. Even when it comes to household appliances and electronics, the instinct has traditionally been to maximise utility before replacement.

West Asia conflicts have continuously reminded the world of a severe energy dependency, which marks not only a temporary inconvenience but a structural vulnerability. For a rapidly growing economy like India, which imports more than 85 per cent of its crude oil to meet domestic demand, energy security and economic resilience have long been major challenges. Over the last 10 years, the current government has consistently emphasised green energy, focusing on the advancement of technology without much carbon emission, unlike developed nations. The most focused area has always been the transport sector, with the aim of decarbonisation. In response, multiple schemes have been rolled out to support Electric Vehicles (EVs) and create long-term demand. Entrance of retrofitting Taking the initiative has begun to show results, with EVs now accounting for 8.5 per cent of total new vehicle sales in India in FY25-26. However, the transition is happening in new vehicle sales, while the existing pool of over 30 crore Internal Combustion Engine (ICE) vehicles on Indian roads continues to run entirely on imported petroleum. That is where vehicle retrofitting enters the arena, in which it replaces a vehicle’s engine, exhaust system, and related components with an electric battery pack, motor, and control systems to convert it into an EV. The case for retrofitting is strongest when viewed through India’s own cultural and economic lens. India has always valued repair, reuse, refurbishment, and life extension. Even when it comes to household appliances and electronics, the instinct has traditionally been to maximise utility before replacement. Also read: How is opening India's space sector to private firms transforming the industry? EXPLAINED Reinvesting in current assets Emphasising the re-use of existing vehicles, Ayush Misra, Co-founder and CEO of AmpereHour Energy, said that India's shift towards electric mobility should focus not only on replacing existing vehicles but also on reinvesting in current assets while accelerating electrification. Misra stated that the country's transition to electric vehicles presents a strategic decision that will shape the future of transportation as well as the country's long-term energy security. He noted that with the transport sector accounting for a significant share of petroleum consumption and India importing nearly 85 per cent of its crude oil requirements, reducing dependence on fossil fuels has become an economic necessity. "With the transport sector accounting for a major share of petroleum consumption and India importing nearly 85 per cent of its crude oil requirements, reducing fossil fuel dependency has become an economic necessity. While EV adoption continues to grow, the real opportunity lies in building an integrated energy ecosystem that combines electrified commercial fleets, Battery Energy Storage Systems (BESS), battery repurposing, renewable energy, and intelligent charging infrastructure," Misra told WION. "Highway EV charging stations, often located in remote or weak-grid areas, can be powered through DC-coupled solar and BESS, where solar energy is stored and supplied directly to high-voltage DC fast chargers via DC-DC converters, eliminating unnecessary AC conversion. This architecture improves energy efficiency, reduces transmission losses, enhances charging reliability, and enables faster deployment of off-grid charging corridors," he added. He further added that a combination of indigenous innovation, advanced energy storage technologies and supportive policy frameworks could spur EV adoption, reduce crude oil imports, bolster the energy resilience of India and help to set up and design a cleaner, more self-reliant and globally competitive mobility ecosystem. Economically viable Highlighting the role in avoiding scarppage of old vehicles, Anand Kabra, Chairman and Managing Director at Kabra Extrusiontechnik Limited & Geon - Green Energy ON, noted that recycling of the batteries used in vehicles and different sources of renewable energy will play a significant role in making the most of this transition. Formulating a sustainable EV and energy storage system will help India become economically viable during imports, improving the resilience of the grid and make closer to the energy future. "Electrification of mobility in India is not only a transition from the use of conventional vehicles to the use of electric vehicles. It is an attempt to build India's energy security. Every electric vehicle contributes to making us less dependent on imported crude oil and increases demand for energy sources of clean transportation that we produce at home. But at the same time, this process should be regarded as an investment in the sustainable energy system, not as scrapping old vehicles. Investment in charging infrastructure for EVs, in developing batteries and their systems, battery recycling and renewable energy sources will play a key role in making the most of this transition. Building a sustainable EV and energy storage system will allow India to save money on imports, improve the resilience of the grid and move closer to the energy future," Kabra said. Across the world, regions like Europe and Nepal are already adopting these circular models. In India, early versions of the FAME scheme supported retrofitting, and states like Madhya Pradesh are pioneering new ecosystems with streamlined agency registrations and upfront subsidies. While market confidence is rising, evidenced by inquiries doubling following recent global oil anxieties, the regulatory framework lags behind. To fully leverage this potential, India required a joint retrofitment framework across the state, enabling formal banking credit for converted vehicles, and establishing strict safety certifications to eliminate unsafe, informal mechanics.

India has always valued repair, reuse, refurbishment, and life extension. Even when it comes to household appliances and electronics, the instinct has traditionally been to maximise utility before replacement.

Discard or reinvest? How India's transition from existing vehicles to EVs can reduce crude oil dependency

China has completed the first successful implantation of a commercially approved brain-computer interface (BCI) chip. The achievement marks a major milestone in neurotechnology, which aims to restore movement and communication to humans suffering ​from varied forms of paralysis. The NEO brain chip was implanted in a patient suffering a long-term spinal cord injury in order to help restore hand movement through a robotic glove controlled by brain signals. The chip received approval in China earlier this year. The development has intensified the global race in brain-chip technology, with China and the US competing to lead the field. With this approval, China has become the first nation in the world to allow the use of an invasive BCI medical device for commercial use.<h3>How NEO brain chip different from Elon Musk's Neuralink</h3>The product is an invasive brain-computer interface (BCI), meaning its electrodes are implanted directly into the brain rather than placed on its surface. It employs a minimally invasive extradural implantation technique and operates using wireless technology. The device is intended for patients aged 18 to 60 who have a specific type of spinal cord injury. To qualify, the injury must have occurred at least one year earlier, the patient must have remained medically stable for six months after standard treatment, and they must have lost the ability to grasp objects with their hands while still retaining some upper-arm movement. Meanwhile, NeuCyber's advanced Beinao-2 system is another invasive BCI featuring flexible electrodes that are fully implanted into the brain and is currently undergoing large-scale animal trials. In comparison, Neuralink's N1 chip stands out for its robotic surgical system, which can implant hundreds of electrodes into the brain within minutes. "The benchmark for Beinao-2 is ⁠Neuralink. I have to say, (there is) about three years' lag because they have over 20 patients using it already," ​Li Yuan, rotating CEO of NeuCyber, a startup linked with the Beijing-based Chinese Institute for Brain Research (CIBR), said. "We ​have just finished the first product and have to go through animal testing, then early-feasibility clinical trials, and then the real trials. That's maybe about two years later for the real trial," he added.&nbsp;Also read: <a href="https://www.wionews.com/india-news/india-s-first-private-orbital-rocket-vikram-1-successfully-lifts-off-from-sriharikota-1784360535292">India's first private orbital rocket, Vikram-1, successfully lifts off from Sriharikota; PM Modi congratulates</a> Li stated that the BCI device is a coin-sized wireless implant by Shanghai-based private firm Neuracle. It sits on the outer membrane of the brain and controls a ‌robotic glove. So far, NeuCyber has achieved seven human implantations of the previous version known as Beinao-1, a semi-invasive BCI having electrodes implanted on the brain's outer membrane. In contrast, Neuralink reported in January that it has 21 participants worldwide registered in human clinical trials. Li projects that it could take an additional two to three years for NeuCyber's BCI products to become widely available in the domestic market, pending necessary clearances from China’s health commission, medical product regulators, and medical insurance authorities.

To qualify, the injury must have occurred at least one year earlier, the patient must have remained medically stable for six months after standard treatment, and they must have lost the ability to grasp objects with their hands while still retaining some upper-arm movement.

China has completed the first successful implantation of a commercially approved brain-computer interface (BCI) chip. The achievement marks a major milestone in neurotechnology, which aims to restore movement and communication to humans suffering from varied forms of paralysis. The NEO brain chip was implanted in a patient suffering a long-term spinal cord injury in order to help restore hand movement through a robotic glove controlled by brain signals. The chip received approval in China earlier this year. The development has intensified the global race in brain-chip technology, with China and the US competing to lead the field. With this approval, China has become the first nation in the world to allow the use of an invasive BCI medical device for commercial use. How NEO brain chip different from Elon Musk's Neuralink The product is an invasive brain-computer interface (BCI), meaning its electrodes are implanted directly into the brain rather than placed on its surface. It employs a minimally invasive extradural implantation technique and operates using wireless technology. The device is intended for patients aged 18 to 60 who have a specific type of spinal cord injury. To qualify, the injury must have occurred at least one year earlier, the patient must have remained medically stable for six months after standard treatment, and they must have lost the ability to grasp objects with their hands while still retaining some upper-arm movement. Meanwhile, NeuCyber's advanced Beinao-2 system is another invasive BCI featuring flexible electrodes that are fully implanted into the brain and is currently undergoing large-scale animal trials. In comparison, Neuralink's N1 chip stands out for its robotic surgical system, which can implant hundreds of electrodes into the brain within minutes. "The benchmark for Beinao-2 is ⁠Neuralink. I have to say, (there is) about three years' lag because they have over 20 patients using it already," Li Yuan, rotating CEO of NeuCyber, a startup linked with the Beijing-based Chinese Institute for Brain Research (CIBR), said. "We have just finished the first product and have to go through animal testing, then early-feasibility clinical trials, and then the real trials. That's maybe about two years later for the real trial," he added. Also read: India's first private orbital rocket, Vikram-1, successfully lifts off from Sriharikota; PM Modi congratulates Li stated that the BCI device is a coin-sized wireless implant by Shanghai-based private firm Neuracle. It sits on the outer membrane of the brain and controls a ‌robotic glove. So far, NeuCyber has achieved seven human implantations of the previous version known as Beinao-1, a semi-invasive BCI having electrodes implanted on the brain's outer membrane. In contrast, Neuralink reported in January that it has 21 participants worldwide registered in human clinical trials. Li projects that it could take an additional two to three years for NeuCyber's BCI products to become widely available in the domestic market, pending necessary clearances from China’s health commission, medical product regulators, and medical insurance authorities.

To qualify, the injury must have occurred at least one year earlier, the patient must have remained medically stable for six months after standard treatment, and they must have lost the ability to grasp objects with their hands while still retaining some upper-arm movement.

How China's NEO brain chip differs from Elon Musk's Neuralink: Technology, trials & regulatory race explained

Not very long ago, joining a terrorist organisation often meant crossing borders. Recruits travelled to secret camps, where they met handlers in person. There, they would learn how to make explosives, communicate secretly and evade security forces through face-to-face training. However, that model is now changing. Today, much of that radicalisation journey can begin with nothing more than a smartphone, an encrypted messaging app and increasingly, artificial intelligence.Security agencies across the world are warning that terrorist organisations are rapidly adapting to AI-powered technologies, using them not just to spread propaganda but also to recruit supporters, create fake identities, translate extremist material into multiple languages and even assist with operational planning.For countries like India, where millions of young people spend hours online every day, the concern is no longer limited to militants crossing the border. The greater challenge may be preventing radicalisation before anyone ever leaves their bedroom. WION Decodes the changing face of terror and radicalisation.Also read | <a href="https://www.wionews.com/india-news/if-india-wants-a-permanent-unsc-seat-why-is-it-still-contesting-for-a-temporary-one-wion-decodes-1784104714747">If India wants a permanent UNSC seat, why is it still contesting for a temporary one? WION Decodes</a><h2>How are terror groups using AI?</h2>Creating propaganda once required designers, translators and video editors. Now, generative AI has dramatically changed that.Groups linked to ISIS, Al Qaeda and other extremist organisations can now generate realistic videos, speeches, posters and audio messages in multiple languages within minutes. Europol has warned that AI is making extremist propaganda cheaper, faster and far more scalable than before.Deepfake technology adds another layer of risk. Synthetic voices and AI-generated videos can make fake messages appear authentic, while fabricated identities allow recruiters to hide behind convincing online personas.<h2>Recruitment has become personal: AI personalising propaganda</h2>Perhaps the biggest change is not the technology itself but how it is being used. Instead of broadcasting one message to everyone, AI allows recruiters to tailor content to individuals. Algorithms can identify vulnerable users, personalise conversations and keep potential recruits engaged through encrypted messaging platforms and social media.The result is a recruitment process that looks less like traditional extremist propaganda and more like targeted digital marketing.<h2>Can chatbots manipulate vulnerable people?</h2>The concern is no longer theoretical. Reports suggest that terrorists are now experimenting with AI chatbots.A recent study by researcher Dr Juelich and shared with The New York Times before its publication, involving interviews with former Boko Haram members, found that some militants had begun using AI chatbots to seek technical information that could improve weapons and assist with planning attacks.Former members said trainers linked to the Islamic State taught recruits how to create AI accounts, use VPNs, frame prompts effectively and bypass chatbot safety restrictions.One former commander described the experience bluntly. "You type in the question or use your voice, and it gives you a detailed answer, like 'How can I build a bomb?', and then it tells you how. It is like a human robot! We used it a lot."The study suggests that extremist groups are not relying on a single AI platform. According to terrorism experts, they move between multiple chatbots depending on which one provides the information they are seeking.Also read | <a href="https://www.wionews.com/photos/india-s-brahmos-vs-usa-s-tomahawk-russia-s-kalibr-and-china-s-yj-18-why-nations-are-lining-up-for-the-make-in-india-missile-1782892168517">India's BrahMos vs USA's Tomahawk, Russia's Kalibr and China's YJ-18: Why nations are lining up for the Make-in-India missile</a><h2>Why is this harder to stop</h2>In the past, traditional terrorist networks left a paper trail: training camps could be spotted, physical meetings could be wiretapped, and unusual travel patterns flagged suspicion. Virtual networks are a different game entirely; they operate in the shadows, leaving behind almost no physical footprint.Encrypted messaging services, anonymous accounts, AI-generated identities and decentralised online communities make investigations significantly more difficult. Extremist content can spread across social media, gaming platforms and private channels simultaneously, allowing recruiters to reach audiences across borders without ever meeting them.<h2>Can India stop it?</h2>Indian security agencies have already begun treating AI-enabled radicalisation as an emerging national security challenge.Addressing the fifth BIMSTEC National Security Advisers' Meeting on Thursday (Jul 16) Indian National Security Adviser Ajit Doval noted that the world is now "facing multi-domain security threats, amplified by rapid technological advancements" and called for stronger regional cooperation and practical measures to tackle technology-driven security threats. The Ministry of Home Affairs has also strengthened cyber and information security capabilities aimed at detecting online extremist activity and improving intelligence sharing.Recent investigations in states such as Gujarat and Kerala have also reinforced the importance of early detection, cyber monitoring and coordinated intelligence to identify online radicalisation before it develops into organised terror activity.<h2>Can AI itself become radical?</h2>No, AI cannot become radical in the way humans can. Large language models (LLMs) do not hold beliefs or ideologies. However, they can become tools that extremist groups attempt to exploit.While developers continue to strengthen safeguards that block requests for violent or illegal assistance, time and time again, researchers have shown that indirect prompts, multiple systems or other techniques can be used to evade those safeguards.That means the risk lies less in AI becoming extremist and more in extremists trying to misuse AI.<h2>What can AI do that humans couldn't?</h2>While AI hasn't replaced terrorist groups, it has definitely made their operations faster, cheaper, and a lot harder to track.Today, recruitment often starts with a single click. Propaganda that used to take days to produce is now generated in minutes, and fake identities can be generated almost instantly. On top of that, encrypted apps allow these groups to coordinate across borders without ever meeting face-to-face.For intelligence agencies, the new frontline is digital. For countries like India, stopping terror is no longer just about boots on the ground; it's about cybersecurity and digital literacy.

As terrorist organisations increasingly exploit artificial intelligence for propaganda, recruitment and operational planning, WION Decodes how AI is reshaping the global terror landscape and why India's biggest security challenge may now begin online, not across its borders.

Not very long ago, joining a terrorist organisation often meant crossing borders. Recruits travelled to secret camps, where they met handlers in person. There, they would learn how to make explosives, communicate secretly and evade security forces through face-to-face training. However, that model is now changing. Today, much of that radicalisation journey can begin with nothing more than a smartphone, an encrypted messaging app and increasingly, artificial intelligence. Security agencies across the world are warning that terrorist organisations are rapidly adapting to AI-powered technologies, using them not just to spread propaganda but also to recruit supporters, create fake identities, translate extremist material into multiple languages and even assist with operational planning. For countries like India, where millions of young people spend hours online every day, the concern is no longer limited to militants crossing the border. The greater challenge may be preventing radicalisation before anyone ever leaves their bedroom. WION Decodes the changing face of terror and radicalisation. Also read | If India wants a permanent UNSC seat, why is it still contesting for a temporary one? WION Decodes How are terror groups using AI? Creating propaganda once required designers, translators and video editors. Now, generative AI has dramatically changed that. Groups linked to ISIS, Al Qaeda and other extremist organisations can now generate realistic videos, speeches, posters and audio messages in multiple languages within minutes. Europol has warned that AI is making extremist propaganda cheaper, faster and far more scalable than before. Deepfake technology adds another layer of risk. Synthetic voices and AI-generated videos can make fake messages appear authentic, while fabricated identities allow recruiters to hide behind convincing online personas. Recruitment has become personal: AI personalising propaganda Perhaps the biggest change is not the technology itself but how it is being used. Instead of broadcasting one message to everyone, AI allows recruiters to tailor content to individuals. Algorithms can identify vulnerable users, personalise conversations and keep potential recruits engaged through encrypted messaging platforms and social media. The result is a recruitment process that looks less like traditional extremist propaganda and more like targeted digital marketing. Can chatbots manipulate vulnerable people? The concern is no longer theoretical. Reports suggest that terrorists are now experimenting with AI chatbots. A recent study by researcher Dr Juelich and shared with The New York Times before its publication, involving interviews with former Boko Haram members, found that some militants had begun using AI chatbots to seek technical information that could improve weapons and assist with planning attacks. Former members said trainers linked to the Islamic State taught recruits how to create AI accounts, use VPNs, frame prompts effectively and bypass chatbot safety restrictions. One former commander described the experience bluntly. "You type in the question or use your voice, and it gives you a detailed answer, like 'How can I build a bomb?', and then it tells you how. It is like a human robot! We used it a lot." The study suggests that extremist groups are not relying on a single AI platform. According to terrorism experts, they move between multiple chatbots depending on which one provides the information they are seeking. Also read | India's BrahMos vs USA's Tomahawk, Russia's Kalibr and China's YJ-18: Why nations are lining up for the Make-in-India missile Why is this harder to stop In the past, traditional terrorist networks left a paper trail: training camps could be spotted, physical meetings could be wiretapped, and unusual travel patterns flagged suspicion. Virtual networks are a different game entirely; they operate in the shadows, leaving behind almost no physical footprint. Encrypted messaging services, anonymous accounts, AI-generated identities and decentralised online communities make investigations significantly more difficult. Extremist content can spread across social media, gaming platforms and private channels simultaneously, allowing recruiters to reach audiences across borders without ever meeting them. Can India stop it? Indian security agencies have already begun treating AI-enabled radicalisation as an emerging national security challenge. Addressing the fifth BIMSTEC National Security Advisers' Meeting on Thursday (Jul 16) Indian National Security Adviser Ajit Doval noted that the world is now "facing multi-domain security threats, amplified by rapid technological advancements" and called for stronger regional cooperation and practical measures to tackle technology-driven security threats. The Ministry of Home Affairs has also strengthened cyber and information security capabilities aimed at detecting online extremist activity and improving intelligence sharing. Recent investigations in states such as Gujarat and Kerala have also reinforced the importance of early detection, cyber monitoring and coordinated intelligence to identify online radicalisation before it develops into organised terror activity. Can AI itself become radical? No, AI cannot become radical in the way humans can. Large language models (LLMs) do not hold beliefs or ideologies. However, they can become tools that extremist groups attempt to exploit. While developers continue to strengthen safeguards that block requests for violent or illegal assistance, time and time again, researchers have shown that indirect prompts, multiple systems or other techniques can be used to evade those safeguards. That means the risk lies less in AI becoming extremist and more in extremists trying to misuse AI. What can AI do that humans couldn't? While AI hasn't replaced terrorist groups, it has definitely made their operations faster, cheaper, and a lot harder to track. Today, recruitment often starts with a single click. Propaganda that used to take days to produce is now generated in minutes, and fake identities can be generated almost instantly. On top of that, encrypted apps allow these groups to coordinate across borders without ever meeting face-to-face. For intelligence agencies, the new frontline is digital. For countries like India, stopping terror is no longer just about boots on the ground; it's about cybersecurity and digital literacy.

As terrorist organisations increasingly exploit artificial intelligence for propaganda, recruitment and operational planning, WION Decodes how AI is reshaping the global terror landscape and why India's biggest security challenge may now begin online, not across its borders.

India's next terror threat may not cross the border. It may enter through your phone | WION Decodes

China has reportedly achieved a major milestone in brain-computer interface (BCI) technology by carrying out what authorities describe as the world's first commercial brain chip implant. The procedure was performed at Huashan Hospital in Shanghai using Neo, a brain-computer interface developed by Neuracle Medical Technology. Unlike experimental implants used in clinical trials, Neo has already received commercial approval in China, allowing eligible patients to receive the technology in hospitals.The development has drawn global attention because it comes before Elon Musk's Neuralink receives full commercial approval in the United States.<h2>How does Neo work?</h2> Neo is designed to help people with severe paralysis regain some control over movement. The coin-sized implant is placed on the surface of the brain, rather than inside brain tissue. When a patient thinks about moving their hand, the device detects those brain signals and sends them to a computer.The software then translates the signals into commands that control a robotic glove, helping patients perform everyday tasks that would otherwise be impossible. Doctors said the patient, who suffered a spinal cord injury in a car accident around 10 years ago, remained stable after surgery. Tests also showed the implant was successfully capturing high-quality brain signals.<h2>Neo vs Neuralink: What's the difference?</h2>Although both Neo and Neuralink aim to restore independence for people with paralysis, the two technologies take different approaches. Neuralink uses extremely thin flexible threads that are inserted directly into brain tissue using a specially designed surgical robot. Its first product, Telepathy, allows users to control computers and smartphones using only their thoughts. Neo, however, sits on the surface of the brain, avoiding penetration into brain tissue. This makes the procedure less invasive while still allowing the system to capture the electrical signals needed to operate assistive devices.<h2>The biggest difference is regulatory status.</h2>Neuralink has implanted its devices in several patients, but all procedures remain part of clinical trials approved by the US Food and Drug Administration (FDA). Neo, by contrast, received approval from China's National Medical Products Administration (NMPA) earlier this year as what Chinese authorities describe as the world's first commercially approved implantable brain-computer interface classified as a Class III medical device.The breakthrough signals that the global race in brain-computer interfaces is entering a new phase. For years, companies have focused on proving that BCIs can safely translate thoughts into digital commands. The next challenge is making those technologies available to patients outside research programmes. If Neo continues to deliver positive clinical outcomes, it could accelerate the adoption of brain-computer interfaces for treating paralysis and other neurological conditions. At the same time, competition is expected to intensify as companies including Neuralink, Synchron, Precision Neuroscience and others work to bring their own brain chip technologies to market. While commercial approval marks an important milestone, experts note that long-term safety, durability and patient outcomes will ultimately determine how widely brain-computer interfaces are adopted in healthcare.

China has reportedly carried out the world's first commercial brain chip implant using the Neo brain-computer interface. Unlike Neuralink, which remains in clinical trials, Neo has regulatory approval for hospital use, marking a major milestone in the global race to commercialise BCI technology.

China has reportedly achieved a major milestone in brain-computer interface (BCI) technology by carrying out what authorities describe as the world's first commercial brain chip implant. The procedure was performed at Huashan Hospital in Shanghai using Neo, a brain-computer interface developed by Neuracle Medical Technology. Unlike experimental implants used in clinical trials, Neo has already received commercial approval in China, allowing eligible patients to receive the technology in hospitals. The development has drawn global attention because it comes before Elon Musk's Neuralink receives full commercial approval in the United States. How does Neo work? Neo is designed to help people with severe paralysis regain some control over movement. The coin-sized implant is placed on the surface of the brain, rather than inside brain tissue. When a patient thinks about moving their hand, the device detects those brain signals and sends them to a computer. The software then translates the signals into commands that control a robotic glove, helping patients perform everyday tasks that would otherwise be impossible. Doctors said the patient, who suffered a spinal cord injury in a car accident around 10 years ago, remained stable after surgery. Tests also showed the implant was successfully capturing high-quality brain signals. Neo vs Neuralink: What's the difference? Although both Neo and Neuralink aim to restore independence for people with paralysis, the two technologies take different approaches. Neuralink uses extremely thin flexible threads that are inserted directly into brain tissue using a specially designed surgical robot. Its first product, Telepathy, allows users to control computers and smartphones using only their thoughts. Neo, however, sits on the surface of the brain, avoiding penetration into brain tissue. This makes the procedure less invasive while still allowing the system to capture the electrical signals needed to operate assistive devices. The biggest difference is regulatory status. Neuralink has implanted its devices in several patients, but all procedures remain part of clinical trials approved by the US Food and Drug Administration (FDA). Neo, by contrast, received approval from China's National Medical Products Administration (NMPA) earlier this year as what Chinese authorities describe as the world's first commercially approved implantable brain-computer interface classified as a Class III medical device. The breakthrough signals that the global race in brain-computer interfaces is entering a new phase. For years, companies have focused on proving that BCIs can safely translate thoughts into digital commands. The next challenge is making those technologies available to patients outside research programmes. If Neo continues to deliver positive clinical outcomes, it could accelerate the adoption of brain-computer interfaces for treating paralysis and other neurological conditions. At the same time, competition is expected to intensify as companies including Neuralink, Synchron, Precision Neuroscience and others work to bring their own brain chip technologies to market. While commercial approval marks an important milestone, experts note that long-term safety, durability and patient outcomes will ultimately determine how widely brain-computer interfaces are adopted in healthcare.

China has reportedly carried out the world's first commercial brain chip implant using the Neo brain-computer interface. Unlike Neuralink, which remains in clinical trials, Neo has regulatory approval for hospital use, marking a major milestone in the global race to commercialise BCI technology.

China performs world's first commercial brain chip implant, moving ahead of Elon Musk's Neuralink

Google's race to stay at the front of artificial intelligence has reportedly hit another obstacle. According to a Bloomberg report, the company has delayed the release of Gemini 3.5 Pro, its next flagship AI model, after it failed to meet internal performance targets. The biggest concern was said to be coding an area where rivals OpenAI and Anthropic have recently gained significant momentum. The model was expected to launch in June, shortly after CEO Sundar Pichai introduced it during Google I/O 2026, saying it was already being used internally. Months later, however, Gemini 3.5 Pro is still undergoing testing.The report unsettled investors. Shares of Google's parent company, Alphabet, fell nearly 3 per cent during trading and were down about 4 per cent at one stage.<h2>Coding has become the new AI battleground</h2>The delay highlights how important coding has become in the AI industry. Large language models are no longer judged only by how well they answer questions or generate text. Increasingly, companies want AI systems that can write, review, debug and improve software with minimal human input. According to Bloomberg, Google retrained Gemini with updated data last month to improve its coding ability, but engineers were reportedly disappointed with the results. Meanwhile, OpenAI's GPT-5.6 and Anthropic's Claude Fable 5 have raised expectations across the industry, particularly for enterprise software development.<h2>Internal challenges may also be slowing Google</h2>The report suggests Google's size has become one of its biggest challenges. Unlike AI startups that focus on a single product, Google must coordinate across Search, DeepMind, Cloud, Android, YouTube and other divisions before launching major AI models. One former employee reportedly described the process as trying to "boil an ocean," pointing to overlapping teams, changing priorities and internal competition for computing resources. Google has also tightened oversight around AI development as advanced models face growing scrutiny from governments over safety, national security and misuse.<h2>Google says testing is still underway</h2>Google has not confirmed a launch date for Gemini 3.5 Pro. A company spokesperson told Bloomberg that Google is "shipping quickly across a wide range of models while keeping them highly cost-effective" and confirmed that Gemini 3.5 Pro, an upgraded Flash model and other AI systems are currently being tested with partners. The spokesperson also said Google remains engaged with the US government as oversight of frontier AI models increases.<h2>Is Google really falling behind?</h2>Despite the reported delay, industry observers say Google remains one of the strongest AI players. Its biggest advantage is deep integration across products used by billions of people, including Search, Gmail, Maps, Android, Chrome and Workspace. Gemini also benefits from Google's search index, giving it access to one of the world's largest information ecosystems.Google recently revealed that around 75 per cent of its internal code is now generated with AI assistance before being reviewed by engineers. The company has also consolidated several coding initiatives under its Antigravity platform to accelerate software development. However, with OpenAI and Anthropic releasing increasingly capable models, expectations for Gemini 3.5 Pro have only grown. The reported delay suggests Google is choosing to refine the model rather than launch a product that falls short of its own standards a decision that could prove important as the AI race enters an even more competitive phase.

Google has reportedly delayed the launch of Gemini 3.5 Pro after the AI model failed to meet internal expectations, particularly in coding.

Google's race to stay at the front of artificial intelligence has reportedly hit another obstacle. According to a Bloomberg report, the company has delayed the release of Gemini 3.5 Pro, its next flagship AI model, after it failed to meet internal performance targets. The biggest concern was said to be coding an area where rivals OpenAI and Anthropic have recently gained significant momentum. The model was expected to launch in June, shortly after CEO Sundar Pichai introduced it during Google I/O 2026, saying it was already being used internally. Months later, however, Gemini 3.5 Pro is still undergoing testing. The report unsettled investors. Shares of Google's parent company, Alphabet, fell nearly 3 per cent during trading and were down about 4 per cent at one stage. Coding has become the new AI battleground The delay highlights how important coding has become in the AI industry. Large language models are no longer judged only by how well they answer questions or generate text. Increasingly, companies want AI systems that can write, review, debug and improve software with minimal human input. According to Bloomberg, Google retrained Gemini with updated data last month to improve its coding ability, but engineers were reportedly disappointed with the results. Meanwhile, OpenAI's GPT-5.6 and Anthropic's Claude Fable 5 have raised expectations across the industry, particularly for enterprise software development. Internal challenges may also be slowing Google The report suggests Google's size has become one of its biggest challenges. Unlike AI startups that focus on a single product, Google must coordinate across Search, DeepMind, Cloud, Android, YouTube and other divisions before launching major AI models. One former employee reportedly described the process as trying to "boil an ocean," pointing to overlapping teams, changing priorities and internal competition for computing resources. Google has also tightened oversight around AI development as advanced models face growing scrutiny from governments over safety, national security and misuse. Google says testing is still underway Google has not confirmed a launch date for Gemini 3.5 Pro. A company spokesperson told Bloomberg that Google is "shipping quickly across a wide range of models while keeping them highly cost-effective" and confirmed that Gemini 3.5 Pro, an upgraded Flash model and other AI systems are currently being tested with partners. The spokesperson also said Google remains engaged with the US government as oversight of frontier AI models increases. Is Google really falling behind? Despite the reported delay, industry observers say Google remains one of the strongest AI players. Its biggest advantage is deep integration across products used by billions of people, including Search, Gmail, Maps, Android, Chrome and Workspace. Gemini also benefits from Google's search index, giving it access to one of the world's largest information ecosystems. Google recently revealed that around 75 per cent of its internal code is now generated with AI assistance before being reviewed by engineers. The company has also consolidated several coding initiatives under its Antigravity platform to accelerate software development. However, with OpenAI and Anthropic releasing increasingly capable models, expectations for Gemini 3.5 Pro have only grown. The reported delay suggests Google is choosing to refine the model rather than launch a product that falls short of its own standards a decision that could prove important as the AI race enters an even more competitive phase.

Google has reportedly delayed the launch of Gemini 3.5 Pro after the AI model failed to meet internal expectations, particularly in coding. The setback comes as OpenAI and Anthropic continue releasing more advanced models, increasing pressure on Google in one of the industry's most competitive races.

Google delays Gemini 3.5 Pro after AI model misses coding targets, report says

Artificial intelligence has become remarkably good at writing code, answering questions and analysing documents. Yet most businesses still struggle to use it in meaningful ways. Anthropic believes it knows why and its answer is not another AI model. The Claude maker has launched Ode, a $1.5 billion enterprise AI implementation company, in partnership with Blackstone, Hellman &amp; Friedman and a consortium of investors including Goldman Sachs, General Atlantic, Apollo Global Management, Leonard Green &amp; Partners, GIC and Sequoia Capital. The idea behind Ode is simple: the next big AI opportunity may not be building smarter models, but helping companies actually deploy them.<h2>AI models are improving. Businesses are not keeping up</h2> Over the past two years, AI models have become dramatically more capable. But many companies still find it difficult to integrate AI into their daily operations. The challenge is rarely the model itself. Businesses often have fragmented data, undocumented workflows, legacy software and strict compliance requirements. As a result, many AI projects never move beyond small pilot programmes.Anthropic believes this "implementation gap" could become one of the biggest opportunities in enterprise technology. Rather than selling software licences, Ode will send experienced AI engineers directly into organisations to understand how they work before designing custom AI systems around their existing processes.<h2>What exactly does Ode do?</h2> Ode describes itself as a "scaled boutique" AI implementation firm. Its engineers work alongside executives and employees to identify repetitive work, automate complex business processes and build AI tools tailored to a company's internal systems. Instead of offering a one-size-fits-all chatbot, the company focuses on integrating AI into finance, customer support, operations, legal teams, software development and decision-making workflows. The goal is to redesign how businesses operate rather than simply adding another AI assistant.The company is built on the team behind Fractional AI, a startup known for deploying AI solutions inside enterprises. Around 100 senior engineers including former startup founders now form Ode's core implementation team.<h2>Claude comes first but not exclusively</h2>Although Ode follows a Claude-first strategy and works closely with Anthropic's applied AI teams, it is not restricted to Anthropic's technology alone. If another AI model is better suited for a particular task, Ode says it can incorporate competing technologies into enterprise deployments. This flexibility reflects a growing trend across enterprise AI, where businesses increasingly choose combinations of models rather than relying on a single provider.<h2>Why Blackstone sees a trillion-dollar opportunity</h2> The idea for Ode emerged after Blackstone noticed that companies across its investment portfolio were buying AI tools but struggling to achieve measurable business results.&nbsp; The private equity giant concluded that implementation not model development had become the industry's biggest bottleneck. That insight led to the creation of Ode, with Blackstone providing capital, operational expertise and access to portfolio companies as early customers. For Anthropic, the arrangement allows it to continue focusing on frontier AI research and model safety while extending Claude into real-world enterprise environments through a specialised implementation partner.<h2>A new phase in the AI race</h2>The launch highlights how competition in artificial intelligence is beginning to shift. For years, companies raced to build the most powerful foundation models. Now the focus is increasingly moving towards helping organisations extract measurable value from them. Industry analysts have often compared the current AI market to the early days of cloud computing, when technology alone was not enough and implementation partners became essential.If Anthropic's bet proves correct, the biggest AI businesses of the next decade may not be the companies building models but those helping enterprises completely redesign how work gets done.

Anthropic has launched Ode, a $1.5 billion enterprise AI company backed by Blackstone and Goldman Sachs. Rather than building another AI model, Ode will help businesses integrate AI into their core operations, betting implementation

Artificial intelligence has become remarkably good at writing code, answering questions and analysing documents. Yet most businesses still struggle to use it in meaningful ways. Anthropic believes it knows why and its answer is not another AI model. The Claude maker has launched Ode, a $1.5 billion enterprise AI implementation company, in partnership with Blackstone, Hellman & Friedman and a consortium of investors including Goldman Sachs, General Atlantic, Apollo Global Management, Leonard Green & Partners, GIC and Sequoia Capital. The idea behind Ode is simple: the next big AI opportunity may not be building smarter models, but helping companies actually deploy them. AI models are improving. Businesses are not keeping up Over the past two years, AI models have become dramatically more capable. But many companies still find it difficult to integrate AI into their daily operations. The challenge is rarely the model itself. Businesses often have fragmented data, undocumented workflows, legacy software and strict compliance requirements. As a result, many AI projects never move beyond small pilot programmes. Anthropic believes this "implementation gap" could become one of the biggest opportunities in enterprise technology. Rather than selling software licences, Ode will send experienced AI engineers directly into organisations to understand how they work before designing custom AI systems around their existing processes. What exactly does Ode do? Ode describes itself as a "scaled boutique" AI implementation firm. Its engineers work alongside executives and employees to identify repetitive work, automate complex business processes and build AI tools tailored to a company's internal systems. Instead of offering a one-size-fits-all chatbot, the company focuses on integrating AI into finance, customer support, operations, legal teams, software development and decision-making workflows. The goal is to redesign how businesses operate rather than simply adding another AI assistant. The company is built on the team behind Fractional AI, a startup known for deploying AI solutions inside enterprises. Around 100 senior engineers including former startup founders now form Ode's core implementation team. Claude comes first but not exclusively Although Ode follows a Claude-first strategy and works closely with Anthropic's applied AI teams, it is not restricted to Anthropic's technology alone. If another AI model is better suited for a particular task, Ode says it can incorporate competing technologies into enterprise deployments. This flexibility reflects a growing trend across enterprise AI, where businesses increasingly choose combinations of models rather than relying on a single provider. Why Blackstone sees a trillion-dollar opportunity The idea for Ode emerged after Blackstone noticed that companies across its investment portfolio were buying AI tools but struggling to achieve measurable business results. The private equity giant concluded that implementation not model development had become the industry's biggest bottleneck. That insight led to the creation of Ode, with Blackstone providing capital, operational expertise and access to portfolio companies as early customers. For Anthropic, the arrangement allows it to continue focusing on frontier AI research and model safety while extending Claude into real-world enterprise environments through a specialised implementation partner. A new phase in the AI race The launch highlights how competition in artificial intelligence is beginning to shift. For years, companies raced to build the most powerful foundation models. Now the focus is increasingly moving towards helping organisations extract measurable value from them. Industry analysts have often compared the current AI market to the early days of cloud computing, when technology alone was not enough and implementation partners became essential. If Anthropic's bet proves correct, the biggest AI businesses of the next decade may not be the companies building models but those helping enterprises completely redesign how work gets done.

Anthropic has launched Ode, a $1.5 billion enterprise AI company backed by Blackstone and Goldman Sachs. Rather than building another AI model, Ode will help businesses integrate AI into their core operations, betting implementation not models is the industry's next trillion-dollar opportunity.

Claude-maker Anthropic launches Ode, an enterprise AI company that learns how your business works and helps you run on AI

Artificial intelligence (AI) is rapidly making a wider and significant transformation for companies in terms of its use at the workstation for different roles. Alongside technical use, the AI is also being highly utilised in several academic and administrative workforces, while solving business problems using human skills along with other tech. In terms of use, the first approach focuses on using it to automate tasks carried out by employees, while the second involves applying AI-driven analytics and algorithms to automate managerial responsibilities, a practice commonly known as "algorithmic management." Automating specific tasks with AI does not automatically result in job losses, as the technology can also enhance human work by supporting employees in areas where certain functions have been automated. Whether the adoption of AI leads to workforce reduction or strengthens human roles depends on several factors, including how essential the automated task is to a particular occupation, the way the technology is incorporated into workplace processes, and whether management chooses to retain employees to perform or supervise certain tasks even when automation is technically feasible.&nbsp;Also read: <a href="https://www.wionews.com/trending/ai-is-changing-hiring-priorities-are-employers-looking-for-different-skills-than-they-did-2-years-ago-1784019436076">AI is changing hiring priorities: Are employers looking for different skills than they did 2 years ago?</a><h3>Safeguards to put before using AI</h3>In terms of legality and safeguards while using AI in the workforce, an expert indicated that companies should establish strong governance frameworks before deploying artificial intelligence (AI) for workforce-related decisions. Prasad Rai, CEO of DAAS LABS, emphasised that organisations should not rely solely on technology when using AI for functions such as hiring, promotions, performance reviews and workforce planning. Instead, he stressed the need for safeguards to ensure fairness, accountability and transparency. &nbsp; "Before AI is entrusted with workforce decisions, companies need to establish strong governance rather than relying solely on technology. The first safeguard is ensuring that the data used to train AI models is accurate, representative, and regularly audited for bias, because AI will inevitably replicate flaws in historical decisions. Equally important is explainability; every AI-driven recommendation should be transparent, auditable, and easy for leaders to justify. Human oversight must remain central, with AI serving as a decision-support tool rather than the final decision-maker for hiring, promotions, performance reviews, or workforce planning," he said. According to Rai, companies that earn long-term employee trust will not necessarily be those that adopt AI the fastest, but those that implement it responsibly by placing fairness, accountability and transparency at the centre of their AI strategy. "Organisations should also implement regular model reviews, clear accountability frameworks, and transparent communication with employees about how AI is being used. The companies that will build lasting employee trust are not those adopting AI the fastest, but those deploying it responsibly, with fairness, accountability, and transparency at the core," he added.

The expert indicated that companies should establish strong governance frameworks before deploying artificial intelligence (AI) for workforce-related decisions. He also emphasised that organisations should not rely solely on technology when using AI for functions.

Artificial intelligence (AI) is rapidly making a wider and significant transformation for companies in terms of its use at the workstation for different roles. Alongside technical use, the AI is also being highly utilised in several academic and administrative workforces, while solving business problems using human skills along with other tech. In terms of use, the first approach focuses on using it to automate tasks carried out by employees, while the second involves applying AI-driven analytics and algorithms to automate managerial responsibilities, a practice commonly known as "algorithmic management." Automating specific tasks with AI does not automatically result in job losses, as the technology can also enhance human work by supporting employees in areas where certain functions have been automated. Whether the adoption of AI leads to workforce reduction or strengthens human roles depends on several factors, including how essential the automated task is to a particular occupation, the way the technology is incorporated into workplace processes, and whether management chooses to retain employees to perform or supervise certain tasks even when automation is technically feasible. Also read: AI is changing hiring priorities: Are employers looking for different skills than they did 2 years ago? Safeguards to put before using AI In terms of legality and safeguards while using AI in the workforce, an expert indicated that companies should establish strong governance frameworks before deploying artificial intelligence (AI) for workforce-related decisions. Prasad Rai, CEO of DAAS LABS, emphasised that organisations should not rely solely on technology when using AI for functions such as hiring, promotions, performance reviews and workforce planning. Instead, he stressed the need for safeguards to ensure fairness, accountability and transparency. "Before AI is entrusted with workforce decisions, companies need to establish strong governance rather than relying solely on technology. The first safeguard is ensuring that the data used to train AI models is accurate, representative, and regularly audited for bias, because AI will inevitably replicate flaws in historical decisions. Equally important is explainability; every AI-driven recommendation should be transparent, auditable, and easy for leaders to justify. Human oversight must remain central, with AI serving as a decision-support tool rather than the final decision-maker for hiring, promotions, performance reviews, or workforce planning," he said. According to Rai, companies that earn long-term employee trust will not necessarily be those that adopt AI the fastest, but those that implement it responsibly by placing fairness, accountability and transparency at the centre of their AI strategy. "Organisations should also implement regular model reviews, clear accountability frameworks, and transparent communication with employees about how AI is being used. The companies that will build lasting employee trust are not those adopting AI the fastest, but those deploying it responsibly, with fairness, accountability, and transparency at the core," he added.

The expert indicated that companies should establish strong governance frameworks before deploying artificial intelligence (AI) for workforce-related decisions. He also emphasised that organisations should not rely solely on technology when using AI for functions.

What safeguards should companies put in place before using AI for workforce decisions?

IBM shares plunged 25 per cent on Tuesday, marking the company's biggest one-day stock decline in 58 years after it released disappointing preliminary second-quarter results. The sharp fall erased between $67 billion and $70 billion in market value, according to Bloomberg estimates. Investors reacted after IBM reported that revenue for the quarter ending in June rose only 1 per cent to $17.2 billion, missing market expectations.Chief Executive Arvind Krishna admitted the company had failed to respond quickly enough to changing market conditions."We faltered... and did not adapt and move quickly enough," Krishna wrote in a letter to investors.<h2>AI spending is changing customer priorities</h2>IBM said one of the biggest reasons for the weak quarter was a shift in customer spending. As companies race to build AI infrastructure, demand for servers, memory chips and storage has surged. With supply remaining tight, many businesses accelerated purchases before expected price increases.According to IBM, this meant customers redirected capital spending away from its high-margin mainframe systems and related software.The company's infrastructure revenue fell 7 per cent, while software revenue grew 5 per cent, but still failed to meet analysts' expectations.At the same time, IBM's server and storage business outside mainframes grew 37 per cent, reflecting strong demand for AI-related hardware.<h2>Cybersecurity becomes a bigger priority</h2>IBM also said cybersecurity spending increased significantly during the quarter. Businesses shifted budgets towards protecting their systems as more powerful AI models increased concerns about sophisticated cyberattacks.The company pointed to growing industry focus on AI-powered security risks, prompting organisations to prioritise cyber defence over some planned technology projects. The trend also benefited cybersecurity companies. Shares of CrowdStrike rose around 12 per cent, while Okta and Netskope gained roughly 11 per cent following IBM's update.<h2>What does this mean for software companies?</h2>IBM's results have renewed debate over how artificial intelligence could reshape the future of traditional software businesses. Many investors are questioning whether conventional Software-as-a-Service (SaaS) companies can maintain growth as AI increasingly performs tasks that previously required specialised software. However, not every part of IBM struggled. Its Red Hat business reported 11 per cent revenue growth, showing continued demand for hybrid cloud and open-source software.IBM also announced Lightwell, a $5 billion initiative backed by major financial institutions including Bank of America, JPMorganChase and Goldman Sachs to strengthen security across open-source software. While IBM's results disappointed investors, they also underline a broader shift across the technology industry. As companies invest heavily in AI infrastructure and cybersecurity, spending priorities are changing rapidly, creating both winners and losers across the enterprise software market.

IBM shares fell 25 per cent in their biggest one-day decline in nearly 60 years after weak quarterly results. The company said customers shifted spending towards AI infrastructure and cybersecurity.

IBM shares plunged 25 per cent on Tuesday, marking the company's biggest one-day stock decline in 58 years after it released disappointing preliminary second-quarter results. The sharp fall erased between $67 billion and $70 billion in market value, according to Bloomberg estimates. Investors reacted after IBM reported that revenue for the quarter ending in June rose only 1 per cent to $17.2 billion, missing market expectations. Chief Executive Arvind Krishna admitted the company had failed to respond quickly enough to changing market conditions. "We faltered... and did not adapt and move quickly enough," Krishna wrote in a letter to investors. AI spending is changing customer priorities IBM said one of the biggest reasons for the weak quarter was a shift in customer spending. As companies race to build AI infrastructure, demand for servers, memory chips and storage has surged. With supply remaining tight, many businesses accelerated purchases before expected price increases. According to IBM, this meant customers redirected capital spending away from its high-margin mainframe systems and related software. The company's infrastructure revenue fell 7 per cent, while software revenue grew 5 per cent, but still failed to meet analysts' expectations. At the same time, IBM's server and storage business outside mainframes grew 37 per cent, reflecting strong demand for AI-related hardware. Cybersecurity becomes a bigger priority IBM also said cybersecurity spending increased significantly during the quarter. Businesses shifted budgets towards protecting their systems as more powerful AI models increased concerns about sophisticated cyberattacks. The company pointed to growing industry focus on AI-powered security risks, prompting organisations to prioritise cyber defence over some planned technology projects. The trend also benefited cybersecurity companies. Shares of CrowdStrike rose around 12 per cent, while Okta and Netskope gained roughly 11 per cent following IBM's update. What does this mean for software companies? IBM's results have renewed debate over how artificial intelligence could reshape the future of traditional software businesses. Many investors are questioning whether conventional Software-as-a-Service (SaaS) companies can maintain growth as AI increasingly performs tasks that previously required specialised software. However, not every part of IBM struggled. Its Red Hat business reported 11 per cent revenue growth, showing continued demand for hybrid cloud and open-source software. IBM also announced Lightwell, a $5 billion initiative backed by major financial institutions including Bank of America, JPMorganChase and Goldman Sachs to strengthen security across open-source software. While IBM's results disappointed investors, they also underline a broader shift across the technology industry. As companies invest heavily in AI infrastructure and cybersecurity, spending priorities are changing rapidly, creating both winners and losers across the enterprise software market.

IBM shares fell 25 per cent in their biggest one-day decline in nearly 60 years after weak quarterly results. The company said customers shifted spending towards AI infrastructure and cybersecurity, wiping out almost $70 billion in market value and raising new questions about traditional software firms.

Biggest crash in nearly 60 years: IBM shares tumble 25% as AI spending reshapes enterprise technology

New York became the first state in the US on Tuesday (July 14, 2026) to pause the construction of big new ​data centres. The country has imposed a one-year moratorium after ​concerns grew over the facilities, prompting a boom in artificial intelligence, which is raising power costs, straining ​water supplies and burdening local communities.&nbsp;The development places New York at the forefront of a growing nationwide debate over regulating the infrastructure required to support artificial intelligence. As technology companies accelerate the construction of new data centres, lawmakers and regulators across dozens of US states are considering measures to curb their impact on power grids, electricity costs and local communities. "As data centre development threatens to hike up utility bills, deplete ​our natural resources, and create uncertainty for New Yorkers, it's my responsibility to take action and lead," said Hochul, adding that she will also pursue legislation to reject sales tax exemptions for large data centres.&nbsp;Also read: <a href="https://www.wionews.com/world/us-nuclear-fuel-company-counters-barc-s-safety-concerns-over-thorium-fuel-for-reactors-more-details-inside-1784003959432">US nuclear fuel company counters BARC’s safety concerns over thorium fuel for reactors: More details inside</a><h3>Development of Generic Environmental Impact Statement (GEIS)</h3>Officials in the governor's office indicated that the moratorium will apply to data centres that use 50 megawatts or more of power. During the ​suspected period, the state's Department of Environmental Conservation will not issue any discretionary ⁠permits for new projects unless applications have already been deemed complete. Rather than allowing unrestricted expansion, Hochul instructed state officials to develop a ​Generic Environmental Impact Statement (GEIS) ​to establish uniform standards for new data centres and examine the potential environmental effects of the construction and ​operation of data centres across New York. According to her office, the moratorium will remain in place until the state completes and adopts these standards. Meanwhile, the New York Legislature passed a bill last month aimed at introducing stricter regulations for data centres, although it is yet to reach Hochul for approval. Officials in the governor's office said the legislation is complex and will require further discussions with lawmakers before it can move forward. The rapid growth of data centres across the United States has significantly increased electricity demand and power costs, prompting mounting concerns and opposition from local communities and policymakers.

As technology companies accelerate the construction of new data centres, lawmakers and regulators across dozens of US states are considering measures to curb their impact on power grids, electricity costs and local communities.

New York became the first state in the US on Tuesday (July 14, 2026) to pause the construction of big new data centres. The country has imposed a one-year moratorium after concerns grew over the facilities, prompting a boom in artificial intelligence, which is raising power costs, straining water supplies and burdening local communities. The development places New York at the forefront of a growing nationwide debate over regulating the infrastructure required to support artificial intelligence. As technology companies accelerate the construction of new data centres, lawmakers and regulators across dozens of US states are considering measures to curb their impact on power grids, electricity costs and local communities. "As data centre development threatens to hike up utility bills, deplete our natural resources, and create uncertainty for New Yorkers, it's my responsibility to take action and lead," said Hochul, adding that she will also pursue legislation to reject sales tax exemptions for large data centres. Also read: US nuclear fuel company counters BARC’s safety concerns over thorium fuel for reactors: More details inside Development of Generic Environmental Impact Statement (GEIS) Officials in the governor's office indicated that the moratorium will apply to data centres that use 50 megawatts or more of power. During the suspected period, the state's Department of Environmental Conservation will not issue any discretionary ⁠permits for new projects unless applications have already been deemed complete. Rather than allowing unrestricted expansion, Hochul instructed state officials to develop a Generic Environmental Impact Statement (GEIS) to establish uniform standards for new data centres and examine the potential environmental effects of the construction and operation of data centres across New York. According to her office, the moratorium will remain in place until the state completes and adopts these standards. Meanwhile, the New York Legislature passed a bill last month aimed at introducing stricter regulations for data centres, although it is yet to reach Hochul for approval. Officials in the governor's office said the legislation is complex and will require further discussions with lawmakers before it can move forward. The rapid growth of data centres across the United States has significantly increased electricity demand and power costs, prompting mounting concerns and opposition from local communities and policymakers.

As technology companies accelerate the construction of new data centres, lawmakers and regulators across dozens of US states are considering measures to curb their impact on power grids, electricity costs and local communities.

New York becomes first US state to halt new AI data centres: Here's why

Artificial intelligence (AI) has rapidly brought about a broader transformation for companies in terms of hiring, evaluating and retaining talent globally. Alongside technical expertise and academic qualification, employers are increasingly prioritising candidates with AI skills who can adapt to changing technologies and solve business problems using human skills along with technical. Recruiters are no longer looking only for employees who can execute predefined tasks. Instead, organisations are seeking professionals who can combine AI tools with critical thinking, business understanding, communication and ethical judgement. A report published by the World Economic Forum in 2025 indicated that nearly 69 per cent of employers plan to hire talent with AI-related skills and nearly 62 per cent seek to recruit candidates capable of working effectively alongside AI. Similarly, LinkedIn's Work Change Report forecast that approximately 70 per cent of the skills used are set to change by 2030, with AI emerging as one of the biggest drivers of workforce transformation. The report also highlights that companies increasingly value employees who combine AI literacy with human capabilities such as creativity, communication and problem-solving. In response, Industry leaders indicate that these changes are already visible in hiring decisions across technology, manufacturing and executive recruitment in most of the biggest firms.&nbsp;Also read:<a href="https://www.wionews.com/world/us-nuclear-fuel-company-counters-barc-s-safety-concerns-over-thorium-fuel-for-reactors-more-details-inside-1784003959432"> US nuclear fuel company counters BARC’s safety concerns over thorium fuel for reactors: More details inside</a><h3>Change in hiring priorities</h3>Venkat Raghavan M, Chief Operating Officer, LOWCODEMINDS, said hiring priorities have evolved significantly over the last two years as AI has become part of everyday business operations. Reacting to the question whether employers are looking for different skills than they were two years ago, he said, "Yes, hiring priorities have changed significantly over the past two years. Technical expertise and domain knowledge remain essential, but they are no longer the only qualities employers evaluate. As AI becomes embedded in everyday business operations, organisations are increasingly looking for professionals who can understand business context, learn continuously, and use AI to solve real business problems." &nbsp;"In the hiring conversations I've been part of, we have moved beyond asking whether someone can implement technology. We now spend more time assessing whether they can connect technology with business outcomes, collaborate across functions, question AI-generated recommendations when necessary, and adapt as the technology evolves," Raghavan added. Amid rising concern over the AI threat to jobs, Raghavan assured that AI raises the value of uniquely human capabilities, including judgment, communication, creativity, and ethical decision-making. He added that AI can boost analysis and execution; however, people remain accountable for making informed decisions and driving business outcomes. "For me, one question has become increasingly important during hiring: Can this person continue learning as technology evolves? In an AI-driven workplace, that mindset is often a stronger predictor of long-term success than any individual technical skill," he further said.&nbsp;WATCH: https://www.wionews.com/videos/china-turns-to-ai-for-next-drug-breakthroughs-1784005943869/embed<h3>AI is transforming jobs, not replacing people</h3>Similarly, over job threat, Sandeep Das, Global HR Leader, Green Power International Pvt. Ltd., believes AI is changing the nature of work rather than eliminating the need for employees. He indicated that the demand for skills has certainly evolved in the industry at the global level. "AI is undeniably reshaping the job market, bringing both disruption and change to the way we work. Traditional roles have always been mechanically intensive and process-driven. With the growth of automation and AI, the demand for skills has certainly evolved. As clean energy technologies continue to gain momentum, we now look for talent that goes beyond technical expertise. While we do give preference to candidates with relevant knowledge and experience, skill readiness is equally important, as it enables new hires to adapt quickly to modern and evolving technologies," Sandeep Das said. "That said, the advent of artificial intelligence does not mean replacing people; it means transforming the way they work. For our sector, it is crucial to build a workforce that combines digital proficiency with strong operational and engineering capabilities. To achieve this, we believe in continuous upskilling and lifelong learning to drive sustainable growth. The future workforce will not just operate equipment; it will manage intelligent, data-driven energy systems," he added.<h3>Leadership roles increasingly demand AI understanding</h3>Sahil Thakur, Director &amp; Head of Tech-Enabled Businesses, Grassik Search, said organisations are increasingly seeking leaders who understand both business strategy and AI implementation. Highlighting the threat, he indicated that those individual who will fail to understand the application &amp; impact of AI, within their respective job profile, are going to become more vulnerable in the coming days. "With the pace at which AI is being integrated into our professional lives, the skills required to understand &amp; adapt to new technologies have become critical. Today, it is critical to not only adopt AI tools but also master their application to maximise efficiency and optimise time management. Those who fail to understand the application &amp; impact of AI, within their domain, are going to be more vulnerable in the near future," Thakur said. "At a leadership level, organisations are prioritising executives who can navigate this volatile environment and leverage AI to eliminate inefficiencies. However, companies must carefully vet candidates to ensure they genuinely understand the technology. The goal is to hire leaders who can deploy AI strategically, rather than those who implement it blindly without clear objectives," he added.&nbsp;

A report published by the World Economic Forum in 2025 indicated that nearly 69 per cent of employers plan to hire talent with AI-related skills and nearly 62 per cent seek to recruit candidates capable of working effectively alongside AI.

Artificial intelligence (AI) has rapidly brought about a broader transformation for companies in terms of hiring, evaluating and retaining talent globally. Alongside technical expertise and academic qualification, employers are increasingly prioritising candidates with AI skills who can adapt to changing technologies and solve business problems using human skills along with technical. Recruiters are no longer looking only for employees who can execute predefined tasks. Instead, organisations are seeking professionals who can combine AI tools with critical thinking, business understanding, communication and ethical judgement. A report published by the World Economic Forum in 2025 indicated that nearly 69 per cent of employers plan to hire talent with AI-related skills and nearly 62 per cent seek to recruit candidates capable of working effectively alongside AI. Similarly, LinkedIn's Work Change Report forecast that approximately 70 per cent of the skills used are set to change by 2030, with AI emerging as one of the biggest drivers of workforce transformation. The report also highlights that companies increasingly value employees who combine AI literacy with human capabilities such as creativity, communication and problem-solving. In response, Industry leaders indicate that these changes are already visible in hiring decisions across technology, manufacturing and executive recruitment in most of the biggest firms. Also read: US nuclear fuel company counters BARC’s safety concerns over thorium fuel for reactors: More details inside Change in hiring priorities Venkat Raghavan M, Chief Operating Officer, LOWCODEMINDS, said hiring priorities have evolved significantly over the last two years as AI has become part of everyday business operations. Reacting to the question whether employers are looking for different skills than they were two years ago, he said, "Yes, hiring priorities have changed significantly over the past two years. Technical expertise and domain knowledge remain essential, but they are no longer the only qualities employers evaluate. As AI becomes embedded in everyday business operations, organisations are increasingly looking for professionals who can understand business context, learn continuously, and use AI to solve real business problems." "In the hiring conversations I've been part of, we have moved beyond asking whether someone can implement technology. We now spend more time assessing whether they can connect technology with business outcomes, collaborate across functions, question AI-generated recommendations when necessary, and adapt as the technology evolves," Raghavan added. Amid rising concern over the AI threat to jobs, Raghavan assured that AI raises the value of uniquely human capabilities, including judgment, communication, creativity, and ethical decision-making. He added that AI can boost analysis and execution; however, people remain accountable for making informed decisions and driving business outcomes. "For me, one question has become increasingly important during hiring: Can this person continue learning as technology evolves? In an AI-driven workplace, that mindset is often a stronger predictor of long-term success than any individual technical skill," he further said. WATCH: https://www.wionews.com/videos/china-turns-to-ai-for-next-drug-breakthroughs-1784005943869/embed AI is transforming jobs, not replacing people Similarly, over job threat, Sandeep Das, Global HR Leader, Green Power International Pvt. Ltd., believes AI is changing the nature of work rather than eliminating the need for employees. He indicated that the demand for skills has certainly evolved in the industry at the global level. "AI is undeniably reshaping the job market, bringing both disruption and change to the way we work. Traditional roles have always been mechanically intensive and process-driven. With the growth of automation and AI, the demand for skills has certainly evolved. As clean energy technologies continue to gain momentum, we now look for talent that goes beyond technical expertise. While we do give preference to candidates with relevant knowledge and experience, skill readiness is equally important, as it enables new hires to adapt quickly to modern and evolving technologies," Sandeep Das said. "That said, the advent of artificial intelligence does not mean replacing people; it means transforming the way they work. For our sector, it is crucial to build a workforce that combines digital proficiency with strong operational and engineering capabilities. To achieve this, we believe in continuous upskilling and lifelong learning to drive sustainable growth. The future workforce will not just operate equipment; it will manage intelligent, data-driven energy systems," he added. Leadership roles increasingly demand AI understanding Sahil Thakur, Director & Head of Tech-Enabled Businesses, Grassik Search, said organisations are increasingly seeking leaders who understand both business strategy and AI implementation. Highlighting the threat, he indicated that those individual who will fail to understand the application & impact of AI, within their respective job profile, are going to become more vulnerable in the coming days. "With the pace at which AI is being integrated into our professional lives, the skills required to understand & adapt to new technologies have become critical. Today, it is critical to not only adopt AI tools but also master their application to maximise efficiency and optimise time management. Those who fail to understand the application & impact of AI, within their domain, are going to be more vulnerable in the near future," Thakur said. "At a leadership level, organisations are prioritising executives who can navigate this volatile environment and leverage AI to eliminate inefficiencies. However, companies must carefully vet candidates to ensure they genuinely understand the technology. The goal is to hire leaders who can deploy AI strategically, rather than those who implement it blindly without clear objectives," he added.

A report published by the World Economic Forum in 2025 indicated that nearly 69 per cent of employers plan to hire talent with AI-related skills and nearly 62 per cent seek to recruit candidates capable of working effectively alongside AI.

AI is changing hiring priorities: Are employers looking for different skills than they did 2 years ago?

China's breakthrough in Extreme Ultraviolet (EUV) lithography for semiconductor manufacturing from its so-called 'Manhattan Project' is a leap forward in the nation's race towards self-reliance in artificial intelligence hardware. It also offers important lessons for India. Recent reports suggest that China built a ‘working prototype’ for indigenous EUV lithography. This is the world's first serious challenge to Dutch company ASML's monopoly in manufacturing EUV lithography machines. It is time to understand EUV lithography and why countries like India should launch their own mission-mode projects to achieve self-sufficiency in AI chipmaking.<h2>What is EUV lithography machine and why is there a race to build them?</h2>EUV lithography is the key technology that enables making the world's most advanced semiconductor chips. EUV lithography uses extreme ultraviolet light with a wavelength of 13.5 nanometres (nm) to print microscopic circuits on silicon wafers. This enables the manufacture of 5 nm, 3 nm and even smaller chips used for AI computing. These chips power smartphones, advanced computing systems, defence equipment and data centres. Smaller transistors improve computing speed, energy efficiency and processing power.EUV manufacturing is extraordinarily complex. It requires extremely high precision, ultra-sophisticated optics, powerful light sources and consistently high production yields.The Chinese project, often compared to the US Manhattan Project that developed the world's first nuclear weapons during the Second World War, brings together Huawei, state-backed research institutes and engineers who previously worked with ASML, the world's only commercial supplier of EUV lithography machines. Each of these machines costs approximately US$250-400 million.&nbsp;The Chinese researchers, working in a high-security laboratory in Shenzhen are targeting the production of functional chips using EUV technology by 2028. Commercial production might realistically start in 2030.<h2>China could commercialise EUV technology soon. What would it mean for the world?</h2>Since 2019, US-led export restrictions prevented China from purchasing ASML's EUV systems, forcing it to develop indigenous alternatives. Once China develops the capability to manufacture chips using indigenous EUV lithography machines at scale, it could significantly reduce its dependence on foreign semiconductor equipment.&nbsp;Domestic production of advanced chips would strengthen China's AI, electric vehicle, telecommunications and defence industries.&nbsp;Increased chip production could also improve global supply and reduce costs over time.&nbsp;A Chinese success in in commercialising EUV machines could make it eventually emerge as an exporter of advanced lithography equipment, creating competition in a market currently dominated by a single company, ASML.Also read: <a href="https://www.wionews.com/world/china-is-secretly-building-an-ai-chipmaking-machine-in-shenzhen-how-its-manhattan-project-could-change-the-ai-era-1766138322822">China is secretly building an AI chipmaking machine in Shenzhen. How its ‘Manhattan Project’ could change the AI era</a><h2>US-China technology rivalry and China's EUV lithography breakthrough</h2>ASML spent nearly two decades perfecting commercial EUV technology. China is now attempting to close that gap. If Beijing succeeds in commercialising indigenous EUV systems, it would weaken the effectiveness of US export controls that limited China's access to advanced semiconductor manufacturing. This could force the US and its allies to invest even more heavily in next-generation semiconductor manufacturing, while further intensifying the global technology race.<a href="https://www.wionews.com/videos/dutch-government-invests-27-bn-to-keep-tech-giant-asml-705452/embed">https://www.wionews.com/videos/dutch-government-invests-27-bn-to-keep-tech-giant-asml-705452/embed</a><h2>Why India should have its own Manhattan Project</h2>This is where the India Semiconductor Mission (ISM) becomes important. India has approved projects worth over ₹1.6 trillion covering semiconductor fabrication plants, Outsourced Semiconductor Assembly and Test (OSAT) facilities, Assembly, Testing, Marking and Packaging (ATMP) units, and compound semiconductor projects. ISM 2.0 focuses on strengthening semiconductor equipment, materials, research, chip design and advanced packaging.Yet, India still lacks leading-edge chip fabrication capability, a domestic semiconductor equipment ecosystem and sufficient high-end manufacturing expertise.&nbsp;While India is globally recognised for its chip design talent, it continues to depend heavily on imports for advanced semiconductor manufacturing. This is why India needs its own "Manhattan Project" for semiconductors.Such a project can succeed only through sustained government support, long-term investment and close collaboration between research institutions, universities and industry in AI hardware and semiconductor manufacturing.Expanding research and development, strengthening semiconductor talent, attracting global technology partnerships, and building domestic capabilities in chip design, packaging, materials and manufacturing equipment should be national priorities.Achieving Atmanirbhar Bharat, or self-reliance, will require greater private investment, policy stability and a realistic long-term strategy rather than relying solely on short-term subsidies.

If and when China's breakthrough in EUV lithography leads to commercial production of these chipmaking machines, the global AI semiconductor industry will change forever. What does it mean for US-China technology race? And why should India have its own AI hardware ‘Manhattan Project’?

China's breakthrough in Extreme Ultraviolet (EUV) lithography for semiconductor manufacturing from its so-called 'Manhattan Project' is a leap forward in the nation's race towards self-reliance in artificial intelligence hardware. It also offers important lessons for India. Recent reports suggest that China built a ‘working prototype’ for indigenous EUV lithography. This is the world's first serious challenge to Dutch company ASML's monopoly in manufacturing EUV lithography machines. It is time to understand EUV lithography and why countries like India should launch their own mission-mode projects to achieve self-sufficiency in AI chipmaking. What is EUV lithography machine and why is there a race to build them? EUV lithography is the key technology that enables making the world's most advanced semiconductor chips. EUV lithography uses extreme ultraviolet light with a wavelength of 13.5 nanometres (nm) to print microscopic circuits on silicon wafers. This enables the manufacture of 5 nm, 3 nm and even smaller chips used for AI computing. These chips power smartphones, advanced computing systems, defence equipment and data centres. Smaller transistors improve computing speed, energy efficiency and processing power. EUV manufacturing is extraordinarily complex. It requires extremely high precision, ultra-sophisticated optics, powerful light sources and consistently high production yields. The Chinese project, often compared to the US Manhattan Project that developed the world's first nuclear weapons during the Second World War, brings together Huawei, state-backed research institutes and engineers who previously worked with ASML, the world's only commercial supplier of EUV lithography machines. Each of these machines costs approximately US$250-400 million. The Chinese researchers, working in a high-security laboratory in Shenzhen are targeting the production of functional chips using EUV technology by 2028. Commercial production might realistically start in 2030. China could commercialise EUV technology soon. What would it mean for the world? Since 2019, US-led export restrictions prevented China from purchasing ASML's EUV systems, forcing it to develop indigenous alternatives. Once China develops the capability to manufacture chips using indigenous EUV lithography machines at scale, it could significantly reduce its dependence on foreign semiconductor equipment. Domestic production of advanced chips would strengthen China's AI, electric vehicle, telecommunications and defence industries. Increased chip production could also improve global supply and reduce costs over time. A Chinese success in in commercialising EUV machines could make it eventually emerge as an exporter of advanced lithography equipment, creating competition in a market currently dominated by a single company, ASML. Also read: China is secretly building an AI chipmaking machine in Shenzhen. How its ‘Manhattan Project’ could change the AI era US-China technology rivalry and China's EUV lithography breakthrough ASML spent nearly two decades perfecting commercial EUV technology. China is now attempting to close that gap. If Beijing succeeds in commercialising indigenous EUV systems, it would weaken the effectiveness of US export controls that limited China's access to advanced semiconductor manufacturing. This could force the US and its allies to invest even more heavily in next-generation semiconductor manufacturing, while further intensifying the global technology race. https://www.wionews.com/videos/dutch-government-invests-27-bn-to-keep-tech-giant-asml-705452/embed Why India should have its own Manhattan Project This is where the India Semiconductor Mission (ISM) becomes important. India has approved projects worth over ₹1.6 trillion covering semiconductor fabrication plants, Outsourced Semiconductor Assembly and Test (OSAT) facilities, Assembly, Testing, Marking and Packaging (ATMP) units, and compound semiconductor projects. ISM 2.0 focuses on strengthening semiconductor equipment, materials, research, chip design and advanced packaging. Yet, India still lacks leading-edge chip fabrication capability, a domestic semiconductor equipment ecosystem and sufficient high-end manufacturing expertise. While India is globally recognised for its chip design talent, it continues to depend heavily on imports for advanced semiconductor manufacturing. This is why India needs its own "Manhattan Project" for semiconductors. Such a project can succeed only through sustained government support, long-term investment and close collaboration between research institutions, universities and industry in AI hardware and semiconductor manufacturing. Expanding research and development, strengthening semiconductor talent, attracting global technology partnerships, and building domestic capabilities in chip design, packaging, materials and manufacturing equipment should be national priorities. Achieving Atmanirbhar Bharat, or self-reliance, will require greater private investment, policy stability and a realistic long-term strategy rather than relying solely on short-term subsidies.

If and when China's breakthrough in EUV lithography leads to commercial production of these chipmaking machines, the global AI semiconductor industry will change forever. What does it mean for US-China technology race? And why should India have its own AI hardware ‘Manhattan Project’?

Why India should have its own Manhattan Project as China makes EUV breakthrough in AI chipmaking

China is positioning itself at the forefront of the next wave of global drug innovation, and artificial intelligence is emerging as the key lever that could tilt dominance in its favour. After cross-border deals for innovative drugs touched a record $110 billion in the first half of 2026, China's pharmaceutical sector is rapidly pivoting toward AI-driven drug discovery to sustain momentum. The shift signals a deeper transformation, from being a fast follower to becoming a global leader in cutting-edge therapies.Also read | <a href="https://www.wionews.com/trending/how-long-before-sun-destroys-the-earth-scientists-may-have-discovered-the-planet-s-expiry-date-1783760812774">How long before sun destroys the Earth? Scientists may have discovered the planet's 'expiry date'</a> China already accounts for roughly 30 per cent of all new drugs under development worldwide, placing it behind only the US More significantly, deal activity is accelerating. By the end of June, 81 transactions had been completed; that is nearly 80 per cent of last year’s total. It spans high-value therapeutic areas such as oncology, metabolic diseases, immunology and neurology. Global buyers, particularly from the US and Europe, continue to actively partner with Chinese firms.<a href="https://www.wionews.com/videos/china-turns-to-ai-for-next-drug-breakthroughs-1784005943869/embed">https://www.wionews.com/videos/china-turns-to-ai-for-next-drug-breakthroughs-1784005943869/embed</a>The latest collaborations highlight how AI is reshaping the innovation pipeline. Domestic companies are leveraging proprietary platforms to design molecules, simulate patient responses and optimise early-stage testing. Partnerships with global pharmaceutical majors are increasingly structured around milestone-based payouts that could run into billions of dollars. AI is enabling faster and more precise drug development by reducing reliance on traditional trial-and-error methods. Virtual modelling, predictive analytics and data-driven insights are helping companies refine candidates earlier, potentially lowering costs and shortening timelines.Also read | <a href="https://www.wionews.com/trending/built-to-outlive-us-all-earth-is-getting-an-indestructible-black-box-to-record-the-end-of-human-civilisation-1783747790087">Built to outlive us all: Earth is getting an indestructible ‘black box’ to record the end of human civilisation</a> This convergence of technology and biomedicine is strengthening China's position in the global healthcare ecosystem. Its ability to combine large datasets, advanced AI capabilities and a rapidly maturing regulatory framework is creating a powerful engine for innovation. The critical question now is whether this momentum translates into sustained global leadership. Experts say if current trends hold, China may not just participate in the next generation of medical breakthroughs; it could redefine them.

China is using artificial intelligence to discover the next generation of blockbuster medicines. With innovative drug deals hitting a record $110 billion in just six months, Beijing is positioning itself to become a global pharmaceutical powerhouse.

China is positioning itself at the forefront of the next wave of global drug innovation, and artificial intelligence is emerging as the key lever that could tilt dominance in its favour. After cross-border deals for innovative drugs touched a record $110 billion in the first half of 2026, China's pharmaceutical sector is rapidly pivoting toward AI-driven drug discovery to sustain momentum. The shift signals a deeper transformation, from being a fast follower to becoming a global leader in cutting-edge therapies. Also read | How long before sun destroys the Earth? Scientists may have discovered the planet's 'expiry date' China already accounts for roughly 30 per cent of all new drugs under development worldwide, placing it behind only the US More significantly, deal activity is accelerating. By the end of June, 81 transactions had been completed; that is nearly 80 per cent of last year’s total. It spans high-value therapeutic areas such as oncology, metabolic diseases, immunology and neurology. Global buyers, particularly from the US and Europe, continue to actively partner with Chinese firms. https://www.wionews.com/videos/china-turns-to-ai-for-next-drug-breakthroughs-1784005943869/embed The latest collaborations highlight how AI is reshaping the innovation pipeline. Domestic companies are leveraging proprietary platforms to design molecules, simulate patient responses and optimise early-stage testing. Partnerships with global pharmaceutical majors are increasingly structured around milestone-based payouts that could run into billions of dollars. AI is enabling faster and more precise drug development by reducing reliance on traditional trial-and-error methods. Virtual modelling, predictive analytics and data-driven insights are helping companies refine candidates earlier, potentially lowering costs and shortening timelines. Also read | Built to outlive us all: Earth is getting an indestructible ‘black box’ to record the end of human civilisation This convergence of technology and biomedicine is strengthening China's position in the global healthcare ecosystem. Its ability to combine large datasets, advanced AI capabilities and a rapidly maturing regulatory framework is creating a powerful engine for innovation. The critical question now is whether this momentum translates into sustained global leadership. Experts say if current trends hold, China may not just participate in the next generation of medical breakthroughs; it could redefine them.

China is using artificial intelligence to discover the next generation of blockbuster medicines. With innovative drug deals hitting a record $110 billion in just six months, Beijing is positioning itself to become a global pharmaceutical powerhouse.

China's $110-billion AI pharma boom could redefine the future of medicine

Apple's next flagship iPhone launch is now believed to be only a couple of months away, and leaks are beginning to paint a clearer picture of what to expect. According to reports from Bloomberg and supply chain sources, Apple could unveil the iPhone 18 Pro and iPhone 18 Pro Max during its annual September event, with September 8 or September 9 emerging as the most likely keynote dates. If Apple follows its usual schedule, sales could begin on September 18.Unlike previous years, reports suggest Apple may reserve the September event for the Pro models and its first foldable iPhone, while the standard iPhone 18 lineup could arrive in early 2027.<h2>Bigger battery and faster A20 Pro chip expected</h2>One of the biggest expected upgrades is battery life. Several reports suggest the iPhone 18 Pro Max could feature Apple's largest battery yet, with capacities ranging from around 5,400mAh to 5,500mAh depending on the model and market. The larger battery may also make the phone slightly thicker. Powering the new devices is expected to be Apple's A20 Pro processor, reportedly built using TSMC's 2nm manufacturing process. The new chip is expected to deliver faster performance, improved gaming, better power efficiency and stronger on-device AI capabilities.<h2>Familiar design with camera improvements</h2>If leaks are accurate, Apple is unlikely to introduce a dramatic redesign this year.The flat-sided design and triple-camera layout are expected to remain, although the rear camera module could become slightly larger. Reports also suggest Apple may reduce the two-tone appearance on the back, giving the phone a cleaner look. The display sizes are expected to stay at 6.3 inches for the Pro and 6.9 inches for the Pro Max. Several leaks also point to a smaller Dynamic Island, with Apple reportedly moving more Face ID components beneath the display. Camera upgrades could include a variable-aperture main camera, a brighter telephoto lens, a new stacked image sensor and an upgraded 24-megapixel front camera.<h2>AI, connectivity and pricing</h2>The iPhone 18 Pro is expected to launch with iOS 27 and the next generation of Apple Intelligence features, including a more capable Siri powered by on-device AI.Apple is also tipped to introduce its C2 modem, offering improved power efficiency and faster wireless performance. Expanded satellite communication features are also expected. Pricing could become one of the biggest talking points. Analysts believe higher manufacturing costs, including the move to 2nm chips, more expensive memory and upgraded camera hardware, could push prices higher. Some reports suggest certain models may cost up to $200 more than their predecessors, although Apple has not confirmed any pricing. As always, these details remain based on leaks and supply chain reports. Apple is expected to reveal the official specifications during its September keynote.

Apple is expected to unveil the iPhone 18 Pro lineup in September with a new A20 Pro chip, larger batteries, improved cameras, refined design and upgraded AI features. Reports also suggest higher prices as Apple prepares one of its biggest flagship launches in years.

Apple's next flagship iPhone launch is now believed to be only a couple of months away, and leaks are beginning to paint a clearer picture of what to expect. According to reports from Bloomberg and supply chain sources, Apple could unveil the iPhone 18 Pro and iPhone 18 Pro Max during its annual September event, with September 8 or September 9 emerging as the most likely keynote dates. If Apple follows its usual schedule, sales could begin on September 18. Unlike previous years, reports suggest Apple may reserve the September event for the Pro models and its first foldable iPhone, while the standard iPhone 18 lineup could arrive in early 2027. Bigger battery and faster A20 Pro chip expected One of the biggest expected upgrades is battery life. Several reports suggest the iPhone 18 Pro Max could feature Apple's largest battery yet, with capacities ranging from around 5,400mAh to 5,500mAh depending on the model and market. The larger battery may also make the phone slightly thicker. Powering the new devices is expected to be Apple's A20 Pro processor, reportedly built using TSMC's 2nm manufacturing process. The new chip is expected to deliver faster performance, improved gaming, better power efficiency and stronger on-device AI capabilities. Familiar design with camera improvements If leaks are accurate, Apple is unlikely to introduce a dramatic redesign this year. The flat-sided design and triple-camera layout are expected to remain, although the rear camera module could become slightly larger. Reports also suggest Apple may reduce the two-tone appearance on the back, giving the phone a cleaner look. The display sizes are expected to stay at 6.3 inches for the Pro and 6.9 inches for the Pro Max. Several leaks also point to a smaller Dynamic Island, with Apple reportedly moving more Face ID components beneath the display. Camera upgrades could include a variable-aperture main camera, a brighter telephoto lens, a new stacked image sensor and an upgraded 24-megapixel front camera. AI, connectivity and pricing The iPhone 18 Pro is expected to launch with iOS 27 and the next generation of Apple Intelligence features, including a more capable Siri powered by on-device AI. Apple is also tipped to introduce its C2 modem, offering improved power efficiency and faster wireless performance. Expanded satellite communication features are also expected. Pricing could become one of the biggest talking points. Analysts believe higher manufacturing costs, including the move to 2nm chips, more expensive memory and upgraded camera hardware, could push prices higher. Some reports suggest certain models may cost up to $200 more than their predecessors, although Apple has not confirmed any pricing. As always, these details remain based on leaks and supply chain reports. Apple is expected to reveal the official specifications during its September keynote.

Apple is expected to unveil the iPhone 18 Pro lineup in September with a new A20 Pro chip, larger batteries, improved cameras, refined design and upgraded AI features. Reports also suggest higher prices as Apple prepares one of its biggest flagship launches in years.

iPhone 18 Pro launching in about 2 months: Expected India price, launch date, A20 Pro chip, battery and more

Google's next foldable smartphone has appeared in another leak just weeks before its expected launch. The latest images, shared by well-known tipster Mystic Leaks, show the Google Pixel 11 Pro Fold in a new Pine colour. The render offers one of the clearest looks yet at Google's upcoming foldable and suggests that the company is making small but noticeable design changes rather than a complete redesign.The Pixel 11 Pro Fold is widely expected to debut during Google's Made by Google event on August 12, alongside the Pixel 11 smartphone series.<h2>A familiar design with subtle changes</h2>At first glance, the Pixel 11 Pro Fold looks very similar to last year's Pixel 10 Pro Fold. The leaked render shows a dark green Pine finish paired with a light gold frame and Google's signature "G" logo. The satin-finished frame also appears to return, while the standard Pixel 11 Pro models are expected to use glossier sides. The biggest visual difference is the redesigned camera bar. It appears slightly narrower than before, while the camera cut-outs now extend closer to the edge instead of being surrounded by extra metal.<h2>Camera layout could be getting an update</h2>The leak also suggests Google has rearranged some camera components.The main and ultra-wide cameras remain at the bottom of the module, while the autofocus sensor has moved from the top to the lower section. The telephoto camera now sits in the upper-right corner. One detail attracting attention is the larger camera flash, which appears significantly bigger than the previous generation. Some reports suggest this space could house Google's rumoured Pixel Glow notification system, although Google has not confirmed any such feature.<h2>Tensor G6 and AI expected to take centre stage</h2>While the leaked images focus mainly on design, previous reports suggest the Pixel 11 Pro Fold will be powered by Google's Tensor G6 processor. The new chip is expected to improve on-device AI, photography, battery efficiency and multitasking. Google is also likely to introduce new Gemini-powered features across the Pixel 11 lineup, continuing its strategy of using artificial intelligence as a key selling point. Foldable smartphones remain a small but growing segment of the premium smartphone market. Rather than changing the hardware dramatically every year, Google appears to be refining its design while focusing on software, AI and everyday usability.With the official launch now close, it may not be long before the company reveals the complete picture.

A fresh leak has revealed the Google Pixel 11 Pro Fold in a new Pine colour ahead of its expected August 12 launch. The foldable appears to feature a refined camera design, a redesigned camera bar and is expected to run on Google's new Tensor G6 chip with upgraded AI features.


Google's next foldable smartphone has appeared in another leak just weeks before its expected launch. The latest images, shared by well-known tipster Mystic Leaks, show the Google Pixel 11 Pro Fold in a new Pine colour. The render offers one of the clearest looks yet at Google's upcoming foldable and suggests that the company is making small but noticeable design changes rather than a complete redesign. The Pixel 11 Pro Fold is widely expected to debut during Google's Made by Google event on August 12, alongside the Pixel 11 smartphone series. A familiar design with subtle changes At first glance, the Pixel 11 Pro Fold looks very similar to last year's Pixel 10 Pro Fold. The leaked render shows a dark green Pine finish paired with a light gold frame and Google's signature "G" logo. The satin-finished frame also appears to return, while the standard Pixel 11 Pro models are expected to use glossier sides. The biggest visual difference is the redesigned camera bar. It appears slightly narrower than before, while the camera cut-outs now extend closer to the edge instead of being surrounded by extra metal. Camera layout could be getting an update The leak also suggests Google has rearranged some camera components. The main and ultra-wide cameras remain at the bottom of the module, while the autofocus sensor has moved from the top to the lower section. The telephoto camera now sits in the upper-right corner. One detail attracting attention is the larger camera flash, which appears significantly bigger than the previous generation. Some reports suggest this space could house Google's rumoured Pixel Glow notification system, although Google has not confirmed any such feature. Tensor G6 and AI expected to take centre stage While the leaked images focus mainly on design, previous reports suggest the Pixel 11 Pro Fold will be powered by Google's Tensor G6 processor. The new chip is expected to improve on-device AI, photography, battery efficiency and multitasking. Google is also likely to introduce new Gemini-powered features across the Pixel 11 lineup, continuing its strategy of using artificial intelligence as a key selling point. Foldable smartphones remain a small but growing segment of the premium smartphone market. Rather than changing the hardware dramatically every year, Google appears to be refining its design while focusing on software, AI and everyday usability. With the official launch now close, it may not be long before the company reveals the complete picture.

A fresh leak has revealed the Google Pixel 11 Pro Fold in a new Pine colour ahead of its expected August 12 launch. The foldable appears to feature a refined camera design, a redesigned camera bar and is expected to run on Google's new Tensor G6 chip with upgraded AI features.

Google Pixel 11 Pro Fold leak reveals redesigned camera layout and new Pine colour

OpenAI is asking security researchers to try to break one of its most advanced AI models and it is willing to pay up to $50,000 for it.The company has expanded its Bio Bug Bounty Programme to include GPT-5.6, doubling the top reward from the previous $25,000 offered during the GPT-5.5 programme. The initiative focuses on finding "universal jailbreaks" that can consistently bypass the model's biology-related safety safeguards. The move comes as AI companies face growing scrutiny over how advanced models could be misused to generate harmful biological information. OpenAI says discovering vulnerabilities before attackers do is an important part of making future AI systems safer.

<blockquote class="twitter-tweet">As part of our ongoing efforts to strengthen our safeguards for advanced AI capabilities in biology, we’re evolving our Bio Bug Bounty into an ongoing private program, known as the OpenAI Bio Bug Bounty program and doubling rewards to $50K. We’re inviting researchers with…&mdash; OpenAI (@OpenAI) <a href="https://x.com/OpenAI/status/2075647722766614733?ref_src=twsrc%5Etfw">July 10, 2026</a></blockquote> <script async src="https://platform.x.com/widgets.js" charset="utf-8"></script>

<h2>What is OpenAI looking for?</h2>Unlike ordinary prompt tricks that may work only once, OpenAI wants researchers to discover universal jailbreaks techniques that reliably bypass the model's built-in biosafety protections across multiple conversations. According to the company, these findings will help improve future safety systems while reducing the chances of malicious misuse. Researchers who discover smaller weaknesses may also receive partial rewards, depending on the quality and impact of their submissions.<h2>Why has the reward increased?</h2>OpenAI says GPT-5.6 represents its latest generation of AI models, making safety testing even more important. To encourage more researchers to participate, the company has doubled the maximum reward to $50,000. The updated programme will replace GPT-5.5 after 27 July 2026, when testing for the older model officially ends. The company added that researchers already enrolled in the GPT-5.5 programme do not need to submit another application.<h2>Who can apply?</h2>Anyone interested in participating must apply through OpenAI's Bio Bug Bounty page. Applicants are required to provide their name, organisation or affiliation, and relevant research experience. Participants must also have a ChatGPT account and sign a non-disclosure agreement (NDA) before gaining access to the testing platform. The GPT-5.6 programme will become available after the GPT-5.5 testing period concludes later this month.&nbsp;Bug bounty programmes have long been used in cybersecurity to uncover software vulnerabilities before criminals can exploit them. OpenAI is applying the same approach to artificial intelligence.As AI systems become more capable, governments and regulators are placing greater emphasis on testing model safeguards, particularly in areas such as biology, cybersecurity and chemical research. By inviting independent researchers to stress-test GPT-5.6, OpenAI hopes to identify weaknesses early and strengthen its safety systems before the technology reaches wider use.

OpenAI has expanded its Bio Bug Bounty programme to GPT-5.6, raising the top reward to $50,000 for researchers who discover reliable ways to bypass the model's biology-related safeguards. The programme aims to improve AI safety before vulnerabilities can be exploited.


OpenAI is asking security researchers to try to break one of its most advanced AI models and it is willing to pay up to $50,000 for it. The company has expanded its Bio Bug Bounty Programme to include GPT-5.6, doubling the top reward from the previous $25,000 offered during the GPT-5.5 programme. The initiative focuses on finding "universal jailbreaks" that can consistently bypass the model's biology-related safety safeguards. The move comes as AI companies face growing scrutiny over how advanced models could be misused to generate harmful biological information. OpenAI says discovering vulnerabilities before attackers do is an important part of making future AI systems safer.

OpenAI has expanded its Bio Bug Bounty programme to GPT-5.6, raising the top reward to $50,000 for researchers who discover reliable ways to bypass the model's biology-related safeguards. The programme aims to improve AI safety before vulnerabilities can be exploited.

OpenAI will pay up to $50,000 if you can do this

Researchers at Stanford University found that AI is also transforming scientific discovery by helping scientists to analyse complex data, generate hypotheses and formulate experiments faster than old methods. AI is entering multiple sectors, including biology, medicine, engineering, and astrophysics, to overcome limitations connected to time, resources, and data complexity. AI is also playing an increasingly significant role in biology and medicine by helping researchers analyse genetic data, identify biological patterns and develop advanced models for studying disease. According to Stanford researchers, AI-powered virtual cell models could significantly accelerate drug discovery and pave the way for more personalised healthcare.&nbsp;Also read: <a href="https://www.wionews.com/trending/japanese-researchers-found-invisible-gold-in-massive-quantities-hiding-beneath-seafloor-1783752058979">Japanese researchers find invisible gold in massive quantities hiding beneath seafloor</a><h3>Integration of AI agents</h3>AI agents are also becoming an integral part of scientific research, helping with tasks such as reviewing academic literature, designing experiments and interpreting data. However, researchers emphasise that human expertise remains indispensable, as AI-generated findings and hypotheses must still be scientifically validated and assessed for real-world applicability. From uncovering the complexities of genetic systems to exploring the structure of the universe, AI is allowing scientists to investigate questions that were previously difficult to address. Stanford researchers believe future scientific breakthroughs will rely on combining AI's computational power with human knowledge to solve increasingly complex problems. Rather than serving only as a productivity tool, AI is evolving into a fundamental component of scientific research. By analysing massive datasets, generating new hypotheses and simulating complex systems, it has the potential to accelerate discoveries across medicine, engineering, climate science and astrophysics. The findings reinforce that no matter how AI advances and enters several fields, scientific progress will continue to rely completely on human expertise. AI can speed up the process of analysis and experimentation; however, rigorous validation, ethical oversight and critical judgement will always remain vital to ensuring research results are reliable and reproducible. &nbsp;

Stanford researchers believe future scientific breakthroughs will rely on combining AI's computational power with human knowledge to solve increasingly complex problems.

Researchers at Stanford University found that AI is also transforming scientific discovery by helping scientists to analyse complex data, generate hypotheses and formulate experiments faster than old methods. AI is entering multiple sectors, including biology, medicine, engineering, and astrophysics, to overcome limitations connected to time, resources, and data complexity. AI is also playing an increasingly significant role in biology and medicine by helping researchers analyse genetic data, identify biological patterns and develop advanced models for studying disease. According to Stanford researchers, AI-powered virtual cell models could significantly accelerate drug discovery and pave the way for more personalised healthcare. Also read: Japanese researchers find invisible gold in massive quantities hiding beneath seafloor Integration of AI agents AI agents are also becoming an integral part of scientific research, helping with tasks such as reviewing academic literature, designing experiments and interpreting data. However, researchers emphasise that human expertise remains indispensable, as AI-generated findings and hypotheses must still be scientifically validated and assessed for real-world applicability. From uncovering the complexities of genetic systems to exploring the structure of the universe, AI is allowing scientists to investigate questions that were previously difficult to address. Stanford researchers believe future scientific breakthroughs will rely on combining AI's computational power with human knowledge to solve increasingly complex problems. Rather than serving only as a productivity tool, AI is evolving into a fundamental component of scientific research. By analysing massive datasets, generating new hypotheses and simulating complex systems, it has the potential to accelerate discoveries across medicine, engineering, climate science and astrophysics. The findings reinforce that no matter how AI advances and enters several fields, scientific progress will continue to rely completely on human expertise. AI can speed up the process of analysis and experimentation; however, rigorous validation, ethical oversight and critical judgement will always remain vital to ensuring research results are reliable and reproducible.

Stanford researchers believe future scientific breakthroughs will rely on combining AI's computational power with human knowledge to solve increasingly complex problems.

Can AI make scientific breakthroughs faster? Researchers weigh in

OpenClaw, the open-source AI assistant that gained attention earlier this year for its autonomous AI agents, has launched official mobile apps for Android and iPhone. The announcement was made by the company on X and marks one of the biggest updates for the project since it first became popular.&nbsp;Until now, many users accessed OpenClaw through messaging platforms such as Telegram or WhatsApp. The new apps give users a dedicated way to interact with their AI agents directly from their smartphones, making the experience simpler and more convenient. The launch comes as technology companies increasingly focus on bringing AI assistants beyond desktop computers and into everyday devices.

<blockquote class="twitter-tweet">OpenClaw is now on iOS + Android 🦞 📱 Native mobile apps, finally 💬 Agents in your pocket 🔔 Channels, tasks, replies on the go Run agents from wherever your thumbs are. iOS: <a href="https://t.co/7LHHc9htgM">https://t.co/7LHHc9htgM</a> Android: <a href="https://t.co/X0Wuh2uA8w">https://t.co/X0Wuh2uA8w</a>&mdash; OpenClaw🦞 (@openclaw) <a href="https://x.com/openclaw/status/2071688039114342592?ref_src=twsrc%5Etfw">June 29, 2026</a></blockquote> <script async src="https://platform.x.com/widgets.js" charset="utf-8"></script>

<h2>What can the OpenClaw mobile app do?</h2>The mobile apps work with the OpenClaw Gateway, which connects users to their AI agents, language models and tools. Instead of running AI models directly on the phone, the apps connect securely to a Gateway running on a personal computer, cloud server or another user-controlled system.Once connected, users can chat with their AI agents using text or voice, approve tasks, monitor automated workflows and receive notifications wherever they are.According to OpenClaw, users can also allow the app to access features such as the camera, location, contacts, calendar, reminders, photos and screen content. These permissions are optional and require user approval. With access to these features, an AI agent can help organise schedules, analyse images, manage reminders or perform other everyday tasks.&nbsp;The launch highlights a growing trend across the AI industry. Instead of only answering questions like traditional chatbots, newer AI systems are designed to complete tasks for users after receiving permission. OpenClaw is one of several projects building what is known as "agentic AI", where software can carry out actions instead of only generating responses. The dedicated apps also remove one of the biggest limitations for iPhone users, who previously had to rely on third-party messaging platforms to access the service.<h2>What is OpenClaw?</h2>OpenClaw is an open-source AI assistant that allows people to build and customise their own AI agents while keeping control over where their data and models run. Unlike many commercial AI assistants, OpenClaw routes requests through its Gateway, allowing users to host the system on their own infrastructure if they choose. The project gained widespread attention following the launch of MoltBook, an experimental social platform built around AI agents. Although researchers later reported that some activity came from humans pretending to be AI agents, the project sparked wider discussion about the future of autonomous AI. OpenClaw also drew attention after founder Peter Steinberger announced earlier this year that he had joined OpenAI. Since then, development of the project has been overseen by the OpenClaw Foundation, a non-profit organisation. OpenAI has also said it plans to support the foundation, although details of that support have not been made public.The arrival of official Android and iPhone apps is another step towards making AI agents part of everyday life. As more companies invest in AI assistants that can perform real-world tasks, mobile access is expected to become an important part of how people use these systems. While OpenClaw remains an early-stage project and some users have reported inconsistent performance, the launch shows how quickly AI assistants are moving beyond simple conversations and towards becoming practical digital helpers.

OpenClaw has launched Android and iPhone apps, allowing users to control AI agents from their smartphones. Here's what the new apps do, how they work and why the launch matters.

OpenClaw, the open-source AI assistant that gained attention earlier this year for its autonomous AI agents, has launched official mobile apps for Android and iPhone. The announcement was made by the company on X and marks one of the biggest updates for the project since it first became popular. Until now, many users accessed OpenClaw through messaging platforms such as Telegram or WhatsApp. The new apps give users a dedicated way to interact with their AI agents directly from their smartphones, making the experience simpler and more convenient. The launch comes as technology companies increasingly focus on bringing AI assistants beyond desktop computers and into everyday devices.

OpenClaw has launched Android and iPhone apps, allowing users to control AI agents from their smartphones. Here's what the new apps do, how they work and why the launch matters.

You can now control OpenClaw AI agents from anywhere: OpenClaw launches Android and iPhone apps

Elon Musk has made a surprising admission in the rapidly evolving artificial intelligence race. In a post on X, the SpaceXAI founder acknowledged that he had underestimated Anthropic, saying the company is now "obviously currently the leader in AI."The remark marks a sharp reversal from September last year, when Musk wrote that "winning was never in the set of possible outcomes for Anthropic."

<blockquote class="twitter-tweet">I was clearly wrong about Anthropic. They are obviously currently the leader in AI. No company has released a model as good as Mythos/Fable and they will undoubtedly have Mythos 2 ready soon. And I would never cut them off in a way that hurt them badly, even as a competitor.…&mdash; Elon Musk (@elonmusk) <a href="https://x.com/elonmusk/status/2075278580955685036?ref_src=twsrc%5Etfw">July 9, 2026</a></blockquote> <script async src="https://platform.x.com/widgets.js" charset="utf-8"></script>

Responding to a user who reposted his earlier prediction, Musk said: "I was clearly wrong about Anthropic. They are obviously currently the leader in AI." He also praised Anthropic's latest Claude Mythos and Claude Fable models, calling them the strongest AI systems released so far.<h2>Musk says no rival has matched Mythos</h2>Musk did not stop at recognising Anthropic's progress.He wrote that "No company has released a model as good as Mythos/Fable and they will undoubtedly have Mythos 2 ready soon."The comments are notable because they come shortly after SpaceXAI launched Grok 4.5, while OpenAI recently released GPT-5.6. Both companies have been competing aggressively with Anthropic in coding, reasoning and enterprise AI. Earlier this year, Anthropic's Mythos and Fable models faced temporary restrictions from US authorities over cybersecurity concerns before later returning with updated safeguards.<h2>Rivals in AI, partners in computing</h2>The relationship between Musk and Anthropic has become increasingly complex. Although the companies compete directly in artificial intelligence, Anthropic is also one of the largest customers of SpaceXAI's Colossus 1 supercomputer. According to previously reported details, Anthropic agreed to lease computing capacity worth about $1.25 billion per month through May 2029, making the overall agreement worth roughly $40 billion. The Colossus system reportedly contains more than 220,000 Nvidia GPUs with approximately 300 megawatts of computing capacity.The arrangement has prompted speculation over whether Musk could use that leverage against a competitor."That's not my style"Musk dismissed those suggestions. When one X user claimed he could effectively shut down Anthropic by ending the computing agreement, Musk replied that he would never cut them off in a way that hurt them badly, even though they are competitors. He pointed to Tesla's open-source patents and its decision to make the Supercharger network available to rival carmakers as examples of his approach to competition.The episode also highlights another growing issue in the AI industry model distillation, where companies study rival AI systems to improve their own models. During his legal dispute with OpenAI, Musk acknowledged that AI companies generally learn from one another's models, while Anthropic has previously accused some Chinese AI developers of distilling Claude. Musk's latest comments suggest that despite fierce competition, he believes Anthropic currently sets the benchmark in frontier AI and that recognition has become difficult even for rivals to ignore.

Elon Musk has admitted he was wrong about Anthropic, calling it the current AI leader and describing Claude Mythos and Fable as the best AI models available. His comments come despite SpaceXAI competing directly with Anthropic while also supplying it with massive computing power.

Elon Musk has made a surprising admission in the rapidly evolving artificial intelligence race. In a post on X, the SpaceXAI founder acknowledged that he had underestimated Anthropic, saying the company is now "obviously currently the leader in AI." The remark marks a sharp reversal from September last year, when Musk wrote that "winning was never in the set of possible outcomes for Anthropic."

Elon Musk has admitted he was wrong about Anthropic, calling it the current AI leader and describing Claude Mythos and Fable as the best AI models available. His comments come despite SpaceXAI competing directly with Anthropic while also supplying it with massive computing power.

Elon Musk admits, 'I was wrong,' says Anthropic is the AI leader and calls Mythos the best model ever

The not-so-subtle “AI war” over export controls has taken a new twist, with reports that American AI firms such as OpenAI and Google have been selling their models to Chinese groups blacklisted by the Pentagon over China-related national security concerns. According to a report in the Financial Times, such transactions are taking place with Chinese firms including Alibaba, Tencent and Baidu through their subsidiaries in Singapore. Has the US lost the AI control race before it has even begun?<h2>OpenAI and Google admit to selling advanced AI services to Chinese firms blacklisted by the Pentagon</h2>Chinese technology groups Alibaba, Baidu and Tencent were recently included on the Pentagon’s 1260H list, which identifies companies alleged to have links with China’s military establishment. However, according to the FT report, both OpenAI and Google confirmed that they supplied advanced AI services to Singapore-based subsidiaries of these companies.Singapore-incorporated entities can legally contract with American AI providers even when their parent companies are blacklisted. This makes it difficult to ensure that AI models face the same level of export controls as those already imposed on advanced semiconductors.Singapore’s position as a regional technology hub allows multinational companies to operate under Singaporean law while serving customers across Asia. This has made the city-state an important gateway for AI services and an increasingly significant focus for US regulators.Also read: <a href="https://www.wionews.com/world/anthropic-vs-pentagon-judge-blocks-designation-of-ai-firm-as-supply-chain-risk-it-s-1-0-for-now-1774592991787">Anthropic vs Pentagon: Judge blocks designation of AI firm as ‘supply chain risk’. It's 1–0, for now</a><h2>US export controls restrict advanced AI services to mainland China, but are rules circumvented?</h2>Frontier AI is increasingly being viewed as a national security asset rather than just a commercial technology. This is why the US restricts access to advanced AI services from mainland China. But that does not broadly prohibit overseas subsidiaries of Chinese companies from purchasing US AI models.&nbsp;Citing OpenAI, the FT reported that the company “blocks direct access to its models from China” but allows some Chinese-owned companies to use its services in jurisdictions “where safeguards can be enforced.” Google said its AI services are available in markets including Singapore and Hong Kong, subject to its usage policies. However, it acknowledged that “geographical restrictions alone are insufficient” to prevent sophisticated users from circumventing controls.&nbsp;Also read: <a href="https://www.wionews.com/world/us-anthropic-fable-5-mythos-5-jailbreaking-national-security-1781335223909">US locks down Anthropic's most powerful AI after alarming jailbreak warning</a><h2>OpenAI blocks API access for Alibaba-affiliated users</h2>The FT report came even as OpenAI said it suspended API access for Alibaba-affiliated users last month after detecting suspected “distillation”, an activity through which developers use outputs from advanced AI models to improve competing systems.OpenAI said it reported the suspected activity to the US government.&nbsp;<a href="https://www.wionews.com/videos/us-china-tech-tensions-redraw-supply-chains-the-world-scrambles-between-us-china-1783268807974/embed">https://www.wionews.com/videos/us-china-tech-tensions-redraw-supply-chains-the-world-scrambles-between-us-china-1783268807974/embed</a><h2>Anthropic takes a stricter approach</h2>Anthropic has taken a much stricter approach, banning China-headquartered companies and all foreign subsidiaries they own from accessing its most advanced AI models. The company has previously accused Chinese AI labs, including DeepSeek, Moonshot and MiniMax, of attempting model distillation. In Congressional testimony in June, Anthropic alleged that Alibaba used “tens of thousands of fraudulent accounts” to generate more than 28 million exchanges with its Claude models in a distillation operation.<h2>US-China technology rivalry extends from AI hardware to software</h2>Since 2022, the US has tightened restrictions on exports of advanced AI chips, particularly those made by Nvidia, while expanding blacklists covering Chinese technology companies. The Biden administration introduced sweeping semiconductor controls, while the Trump administration continued to tighten restrictions on advanced AI technologies, arguing that these capabilities could strengthen China’s military and intelligence capabilities.In response, China tightened export controls on strategic minerals such as gallium, germanium and rare earth elements, which are critical for advanced technology manufacturing.Chinese AI companies, including DeepSeek, Alibaba, Baidu and Tencent, have accelerated the development of competitive large language models (LLMs) to reduce dependence on US technology. The Chinese government has intensified investment in domestic AI models and semiconductor development.&nbsp;

OpenAI and Google’s AI services are being sold to Chinese firms blacklisted by Pentagon, using the Singapore subsidiary route. AI export controls are being challenged this way as the US-China technology rivalry shifts from chips to frontier AI models.

The not-so-subtle “AI war” over export controls has taken a new twist, with reports that American AI firms such as OpenAI and Google have been selling their models to Chinese groups blacklisted by the Pentagon over China-related national security concerns. According to a report in the Financial Times, such transactions are taking place with Chinese firms including Alibaba, Tencent and Baidu through their subsidiaries in Singapore. Has the US lost the AI control race before it has even begun? OpenAI and Google admit to selling advanced AI services to Chinese firms blacklisted by the Pentagon Chinese technology groups Alibaba, Baidu and Tencent were recently included on the Pentagon’s 1260H list, which identifies companies alleged to have links with China’s military establishment. However, according to the FT report, both OpenAI and Google confirmed that they supplied advanced AI services to Singapore-based subsidiaries of these companies. Singapore-incorporated entities can legally contract with American AI providers even when their parent companies are blacklisted. This makes it difficult to ensure that AI models face the same level of export controls as those already imposed on advanced semiconductors. Singapore’s position as a regional technology hub allows multinational companies to operate under Singaporean law while serving customers across Asia. This has made the city-state an important gateway for AI services and an increasingly significant focus for US regulators. Also read: Anthropic vs Pentagon: Judge blocks designation of AI firm as ‘supply chain risk’. It's 1–0, for now US export controls restrict advanced AI services to mainland China, but are rules circumvented? Frontier AI is increasingly being viewed as a national security asset rather than just a commercial technology. This is why the US restricts access to advanced AI services from mainland China. But that does not broadly prohibit overseas subsidiaries of Chinese companies from purchasing US AI models. Citing OpenAI, the FT reported that the company “blocks direct access to its models from China” but allows some Chinese-owned companies to use its services in jurisdictions “where safeguards can be enforced.” Google said its AI services are available in markets including Singapore and Hong Kong, subject to its usage policies. However, it acknowledged that “geographical restrictions alone are insufficient” to prevent sophisticated users from circumventing controls. Also read: US locks down Anthropic's most powerful AI after alarming jailbreak warning OpenAI blocks API access for Alibaba-affiliated users The FT report came even as OpenAI said it suspended API access for Alibaba-affiliated users last month after detecting suspected “distillation”, an activity through which developers use outputs from advanced AI models to improve competing systems. OpenAI said it reported the suspected activity to the US government. https://www.wionews.com/videos/us-china-tech-tensions-redraw-supply-chains-the-world-scrambles-between-us-china-1783268807974/embed Anthropic takes a stricter approach Anthropic has taken a much stricter approach, banning China-headquartered companies and all foreign subsidiaries they own from accessing its most advanced AI models. The company has previously accused Chinese AI labs, including DeepSeek, Moonshot and MiniMax, of attempting model distillation. In Congressional testimony in June, Anthropic alleged that Alibaba used “tens of thousands of fraudulent accounts” to generate more than 28 million exchanges with its Claude models in a distillation operation. US-China technology rivalry extends from AI hardware to software Since 2022, the US has tightened restrictions on exports of advanced AI chips, particularly those made by Nvidia, while expanding blacklists covering Chinese technology companies. The Biden administration introduced sweeping semiconductor controls, while the Trump administration continued to tighten restrictions on advanced AI technologies, arguing that these capabilities could strengthen China’s military and intelligence capabilities. In response, China tightened export controls on strategic minerals such as gallium, germanium and rare earth elements, which are critical for advanced technology manufacturing. Chinese AI companies, including DeepSeek, Alibaba, Baidu and Tencent, have accelerated the development of competitive large language models (LLMs) to reduce dependence on US technology. The Chinese government has intensified investment in domestic AI models and semiconductor development.

OpenAI and Google’s AI services are being sold to Chinese firms blacklisted by Pentagon, using the Singapore subsidiary route. AI export controls are being challenged this way as the US-China technology rivalry shifts from chips to frontier AI models.

OpenAI, Google are selling AI to Chinese firms blacklisted by Pentagon, says report: The battleground of AI export controls

Meta is preparing for one of its biggest artificial intelligence infrastructure upgrades yet. According to an internal company memo reviewed by Reuters, the company plans to begin manufacturing its next-generation AI chip, codenamed Iris, in September 2026.The chip is part of Meta's long-term Meta Training and Inference Accelerator (MTIA) programme, under which the company is developing its own AI processors instead of relying entirely on third-party suppliers. The goal is to improve the AI systems powering Facebook, Instagram and other Meta products while reducing computing costs.The reported production follows six weeks of successful testing, during which engineers found no major issues with the chip.<h2>Why is Meta building its own AI chip?</h2>Running advanced AI models requires enormous computing power, and buying large numbers of graphics processing units (GPUs) from companies such as Nvidia and AMD has become increasingly expensive.Meta believes custom-designed chips can perform many AI tasks more efficiently while giving the company greater control over its infrastructure.The Iris processor has been designed with help from Broadcom, while Taiwan Semiconductor Manufacturing Co. (TSMC) will manufacture the chip. Industry analysts say nearly every major AI company is now pursuing custom silicon to reduce costs and avoid dependence on external chip suppliers.<h2>Meta plans to double computing capacity</h2>The Reuters memo shows Meta expects to deploy around 7 gigawatts (GW) of computing infrastructure by the end of 2026 before doubling that figure to 14GW in 2027.For comparison, 1GW of electricity can power roughly 800,000 homes. Such a rapid expansion highlights the enormous energy requirements of modern AI systems. Meta also expects to spend up to $145 billion this year on AI infrastructure, making it one of the biggest investors in artificial intelligence globally.<h2>The AI hardware race is accelerating</h2>Meta's chip strategy reflects a broader industry trend. Google has its Tensor Processing Units (TPUs), Amazon has Trainium and Inferentia, while Microsoft, OpenAI and Anthropic are also exploring custom AI hardware.According to the memo, Meta plans to introduce a new AI chip roughly every six months through 2027, a much faster release cycle than the industry's traditional annual updates. The company has also secured long-term supply agreements with Samsung Electronics for memory chips, Sandisk for storage and Sumitomo Electric for fibre-optic equipment as it expands its global data centre network. With AI demand continuing to grow, owning more of its hardware stack could become one of Meta's biggest competitive advantages in the years ahead.&nbsp;

Meta will reportedly begin producing its new Iris AI chip in September after successful testing. The custom processor is part of the company's plan to double computing capacity to 14GW by 2027, reduce dependence on Nvidia and support growing AI services across its platforms.

Meta is preparing for one of its biggest artificial intelligence infrastructure upgrades yet. According to an internal company memo reviewed by Reuters, the company plans to begin manufacturing its next-generation AI chip, codenamed Iris, in September 2026. The chip is part of Meta's long-term Meta Training and Inference Accelerator (MTIA) programme, under which the company is developing its own AI processors instead of relying entirely on third-party suppliers. The goal is to improve the AI systems powering Facebook, Instagram and other Meta products while reducing computing costs. The reported production follows six weeks of successful testing, during which engineers found no major issues with the chip. Why is Meta building its own AI chip? Running advanced AI models requires enormous computing power, and buying large numbers of graphics processing units (GPUs) from companies such as Nvidia and AMD has become increasingly expensive. Meta believes custom-designed chips can perform many AI tasks more efficiently while giving the company greater control over its infrastructure. The Iris processor has been designed with help from Broadcom, while Taiwan Semiconductor Manufacturing Co. (TSMC) will manufacture the chip. Industry analysts say nearly every major AI company is now pursuing custom silicon to reduce costs and avoid dependence on external chip suppliers. Meta plans to double computing capacity The Reuters memo shows Meta expects to deploy around 7 gigawatts (GW) of computing infrastructure by the end of 2026 before doubling that figure to 14GW in 2027. For comparison, 1GW of electricity can power roughly 800,000 homes. Such a rapid expansion highlights the enormous energy requirements of modern AI systems. Meta also expects to spend up to $145 billion this year on AI infrastructure, making it one of the biggest investors in artificial intelligence globally. The AI hardware race is accelerating Meta's chip strategy reflects a broader industry trend. Google has its Tensor Processing Units (TPUs), Amazon has Trainium and Inferentia, while Microsoft, OpenAI and Anthropic are also exploring custom AI hardware. According to the memo, Meta plans to introduce a new AI chip roughly every six months through 2027, a much faster release cycle than the industry's traditional annual updates. The company has also secured long-term supply agreements with Samsung Electronics for memory chips, Sandisk for storage and Sumitomo Electric for fibre-optic equipment as it expands its global data centre network. With AI demand continuing to grow, owning more of its hardware stack could become one of Meta's biggest competitive advantages in the years ahead.

Meta will reportedly begin producing its new Iris AI chip in September after successful testing. The custom processor is part of the company's plan to double computing capacity to 14GW by 2027, reduce dependence on Nvidia and support growing AI services across its platforms.

Meta plans a new AI chip every six months: Here's how its next chip could reduce dependence on Nvidia

Imagine making a phone call from the middle of the ocean, deep inside a forest or high in the Himalayas without a single mobile tower nearby. That is exactly what BSNL's new satellite phone is designed to do.The state-run telecom company has launched the handset in India for Rs 1,34,166 (including taxes). While the price is far higher than even premium smartphones, the device serves a completely different purpose. Instead of connecting to nearby 4G or 5G towers, it communicates directly with satellites orbiting the Earth.The phone is meant for users who need reliable communication where conventional mobile networks cannot reach.<h2>Why does it cost so much?</h2>Unlike regular smartphones, satellite phones require specialised hardware that can communicate with satellites thousands of kilometres above Earth.The handset also relies on global satellite communication networks such as Inmarsat, allowing it to make voice calls even in remote mountains, deserts, forests and offshore locations. Building and maintaining satellite communication infrastructure is significantly more expensive than operating conventional cellular networks. The smaller number of users also means production volumes remain low, increasing the cost of each device.<h2>Who is it designed for?</h2>BSNL says the satellite phone is aimed at professionals and organisations operating in areas without mobile coverage. Potential users include defence personnel, disaster response teams, maritime workers, miners, remote industrial operators, researchers, mountaineers and pilgrims travelling through isolated regions. It also includes an SOS emergency feature, making it useful during natural disasters or rescue operations when conventional telecom networks may fail.<figure class="image"><img src="https://akm-img-a-in.tosshub.com/indiatoday/styles/medium_crop_simple/public/2026-07/screenshot_2026-07-09_140955.png?VersionId=NXtmAZeT6dHYUrFZ8AzgJQlp3gdVLSR.&amp;size=750:*" alt="BSNL satellite phone"></figure><h2>Can anyone buy it?</h2>Not immediately. Satellite phones are tightly regulated in India because of national security concerns. Before purchasing or using the device, users must obtain permission from the Department of Telecommunications (DoT). Using an unauthorised satellite phone can attract legal action under Indian telecom regulations.<h2>More than just a phone</h2>The launch comes as BSNL continues expanding its regular mobile network across India. The company recently announced that it has commissioned nearly 99,000 4G sites, with plans to expand coverage further.However, even thousands of mobile towers cannot reach every corner of the country. That is where satellite communication becomes important.For most people, a smartphone remains the right choice. But for those working where there is no mobile signal, BSNL's satellite phone offers something no ordinary handset can communication when everything else goes offline.

BSNL has launched a ₹1.34 lakh satellite phone that works without mobile towers by connecting directly to satellites. Built for remote areas, emergencies and critical operations, the handset requires prior approval from the Department of Telecommunications before it can be purchased or used.


Imagine making a phone call from the middle of the ocean, deep inside a forest or high in the Himalayas without a single mobile tower nearby. That is exactly what BSNL's new satellite phone is designed to do. The state-run telecom company has launched the handset in India for Rs 1,34,166 (including taxes). While the price is far higher than even premium smartphones, the device serves a completely different purpose. Instead of connecting to nearby 4G or 5G towers, it communicates directly with satellites orbiting the Earth. The phone is meant for users who need reliable communication where conventional mobile networks cannot reach. Why does it cost so much? Unlike regular smartphones, satellite phones require specialised hardware that can communicate with satellites thousands of kilometres above Earth. The handset also relies on global satellite communication networks such as Inmarsat, allowing it to make voice calls even in remote mountains, deserts, forests and offshore locations. Building and maintaining satellite communication infrastructure is significantly more expensive than operating conventional cellular networks. The smaller number of users also means production volumes remain low, increasing the cost of each device. Who is it designed for? BSNL says the satellite phone is aimed at professionals and organisations operating in areas without mobile coverage. Potential users include defence personnel, disaster response teams, maritime workers, miners, remote industrial operators, researchers, mountaineers and pilgrims travelling through isolated regions. It also includes an SOS emergency feature, making it useful during natural disasters or rescue operations when conventional telecom networks may fail. Can anyone buy it? Not immediately. Satellite phones are tightly regulated in India because of national security concerns. Before purchasing or using the device, users must obtain permission from the Department of Telecommunications (DoT). Using an unauthorised satellite phone can attract legal action under Indian telecom regulations. More than just a phone The launch comes as BSNL continues expanding its regular mobile network across India. The company recently announced that it has commissioned nearly 99,000 4G sites, with plans to expand coverage further. However, even thousands of mobile towers cannot reach every corner of the country. That is where satellite communication becomes important. For most people, a smartphone remains the right choice. But for those working where there is no mobile signal, BSNL's satellite phone offers something no ordinary handset can communication when everything else goes offline.

BSNL has launched a ₹1.34 lakh satellite phone that works without mobile towers by connecting directly to satellites. Built for remote areas, emergencies and critical operations, the handset requires prior approval from the Department of Telecommunications before it can be purchased or used.

No signal? No problem: How BSNL's satellite phone works without mobile towers

Fidji Simo announced on Thursday (Jul 9) that she was stepping down from her full-time role at OpenAI as CEO of Artificial General Intelligence (AGI) Deployment due to health issues, transitioning to a part-time adviser role. Simo has postural orthostatic tachycardia syndrome (POTS), a neuroimmune condition she has lived with for about seven years after being diagnosed around 2019. She has described experiencing severe flare-ups requiring ongoing treatment and management. Who is Fidji Simo, what is POTS, and how did her diagnosis make her an advocate of AI for tackling such rare diseases?<h2>About Fidji Simo, who is exiting as OpenAI AGI CEO</h2>Fidji Simo, born on 5 October 1985, is a French-American business executive. She grew up in Sète, a small fishing town in southern France, and was the first in her family to graduate high school. She later earned a Master of Science in Management from HEC Paris and spent her final year at the UCLA Anderson School of Management.Simo joined Facebook- now Meta Platforms- &nbsp;in 2011, eventually becoming head of the Facebook app and a key aide of founder-CEO Mark Zuckerberg. From 2021 to 2025, she served as CEO of grocery delivery company Instacart. She joined OpenAI's board in March 2024 and was appointed the company's first CEO of Applications in May 2025, later retitled CEO of AGI Deployment. Reporting to OpenAI CEO Sam Altman, she oversaw product, engineering, operations and business teams. She has also served on the boards of Shopify and Cirque du Soleil, among others.Also read: <a href="https://www.wionews.com/entertainment/samantha-ruth-prabhu-opens-up-about-health-struggles-amid-myositis-diagnosis-691838">Samantha Ruth Prabhu opens up about health struggles amid Myositis diagnosis</a><h2>What is postural orthostatic tachycardia syndrome (POTS) which Fidgi Simo is suffering from?</h2>Postural orthostatic tachycardia syndrome or POTS is a disorder of the autonomic nervous system that affects heart rate, blood circulation and other involuntary body functions. It is marked by an unusually rapid increase in heart rate when standing. Common symptoms include dizziness, light-headedness, fatigue, fainting, chest pain, nausea, heart palpitations and difficulty standing for long periods. POTS often overlaps with conditions such as myalgic encephalomyelitis or chronic fatigue syndrome (CFS), migraines and Long COVID. Around 80 per cent of diagnosed cases occur in women, and the condition is often underdiagnosed.Simo has said she consulted nearly 40 specialists before receiving a diagnosis, highlighting the difficulties many patients face in obtaining appropriate care.Also read: <a href="https://www.wionews.com/entertainment/hollywood/the-boys-actress-erin-moriarty-reveals-graves-disease-diagnosis-go-get-checked-1749954958809">The Boys actress Erin Moriarty reveals Graves disease diagnosis: Go get checked...'</a><h2>How Fidgi Simo managed POTS while on a high-flying career</h2>Simo has spoken publicly about living with POTS to raise awareness and reduce stigma around chronic illnesses. She managed the condition through medical treatment and lifestyle adjustments, including exercise, sleep, nutrition and avoiding known triggers, while continuing to lead major technology companies. However, a severe flare-up in early 2026 led to medical leave in April, and her recovery took longer than expected, prompting her to step down from her full-time position.<a href="https://www.wionews.com/videos/on-quest-to-reverse-ageing-bryan-johnson-gets-diagnosed-with-incurable-disease-1783623424119/embed">https://www.wionews.com/videos/on-quest-to-reverse-ageing-bryan-johnson-gets-diagnosed-with-incurable-disease-1783623424119/embed</a>Based on her experiences, Simo also became an advocate for neuroimmune research. She co-founded the Metrodora Institute and ChronicleBio, and serves as president of the non-profit Complex Disorders Alliance (CODA), supporting research, improved diagnosis and better treatments for conditions such as POTS and CFS. She has also highlighted the potential of AI to improve care for patients with complex chronic illnesses.

OpenAI executive Fidji Simo is stepping down from her full-time role as the firm's AGI CEO, after a severe POTS flare-up. Here's who she is, what postural orthostatic tachycardia syndrome is, its symptoms and how she managed it alongside a busy career.

Fidji Simo announced on Thursday (Jul 9) that she was stepping down from her full-time role at OpenAI as CEO of Artificial General Intelligence (AGI) Deployment due to health issues, transitioning to a part-time adviser role. Simo has postural orthostatic tachycardia syndrome (POTS), a neuroimmune condition she has lived with for about seven years after being diagnosed around 2019. She has described experiencing severe flare-ups requiring ongoing treatment and management. Who is Fidji Simo, what is POTS, and how did her diagnosis make her an advocate of AI for tackling such rare diseases? About Fidji Simo, who is exiting as OpenAI AGI CEO Fidji Simo, born on 5 October 1985, is a French-American business executive. She grew up in Sète, a small fishing town in southern France, and was the first in her family to graduate high school. She later earned a Master of Science in Management from HEC Paris and spent her final year at the UCLA Anderson School of Management. Simo joined Facebook- now Meta Platforms- in 2011, eventually becoming head of the Facebook app and a key aide of founder-CEO Mark Zuckerberg. From 2021 to 2025, she served as CEO of grocery delivery company Instacart. She joined OpenAI's board in March 2024 and was appointed the company's first CEO of Applications in May 2025, later retitled CEO of AGI Deployment. Reporting to OpenAI CEO Sam Altman, she oversaw product, engineering, operations and business teams. She has also served on the boards of Shopify and Cirque du Soleil, among others. Also read: Samantha Ruth Prabhu opens up about health struggles amid Myositis diagnosis What is postural orthostatic tachycardia syndrome (POTS) which Fidgi Simo is suffering from? Postural orthostatic tachycardia syndrome or POTS is a disorder of the autonomic nervous system that affects heart rate, blood circulation and other involuntary body functions. It is marked by an unusually rapid increase in heart rate when standing. Common symptoms include dizziness, light-headedness, fatigue, fainting, chest pain, nausea, heart palpitations and difficulty standing for long periods. POTS often overlaps with conditions such as myalgic encephalomyelitis or chronic fatigue syndrome (CFS), migraines and Long COVID. Around 80 per cent of diagnosed cases occur in women, and the condition is often underdiagnosed. Simo has said she consulted nearly 40 specialists before receiving a diagnosis, highlighting the difficulties many patients face in obtaining appropriate care. Also read: The Boys actress Erin Moriarty reveals Graves disease diagnosis: Go get checked...' How Fidgi Simo managed POTS while on a high-flying career Simo has spoken publicly about living with POTS to raise awareness and reduce stigma around chronic illnesses. She managed the condition through medical treatment and lifestyle adjustments, including exercise, sleep, nutrition and avoiding known triggers, while continuing to lead major technology companies. However, a severe flare-up in early 2026 led to medical leave in April, and her recovery took longer than expected, prompting her to step down from her full-time position. https://www.wionews.com/videos/on-quest-to-reverse-ageing-bryan-johnson-gets-diagnosed-with-incurable-disease-1783623424119/embed Based on her experiences, Simo also became an advocate for neuroimmune research. She co-founded the Metrodora Institute and ChronicleBio, and serves as president of the non-profit Complex Disorders Alliance (CODA), supporting research, improved diagnosis and better treatments for conditions such as POTS and CFS. She has also highlighted the potential of AI to improve care for patients with complex chronic illnesses.

OpenAI executive Fidji Simo is stepping down from her full-time role as the firm's AGI CEO, after a severe POTS flare-up. Here's who she is, what postural orthostatic tachycardia syndrome is, its symptoms and how she managed it alongside a busy career.

Fidji Simo to step down as OpenAI's AGI Deployment CEO due to POTS. Know more about the disease, symptoms and how she managed it

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Fidji Simo to exit as OpenAI's AGI CEO due to POTS. Know more about the disease