Meta is reportedly working on a new artificial intelligence-powered wearable device that could take the form of a pendant worn around the neck. According to a report by The Information, the company plans to begin testing the device within the next year as it continues expanding its AI hardware strategy.The reported project comes as major technology companies increasingly explore AI-powered devices beyond smartphones and computers. Meta has already invested heavily in smart glasses and virtual reality products, and the new pendant could become another part of its growing wearable ecosystem.<h2>What is Meta's AI pendant?</h2>According to reports, Meta's new device would function as an AI-powered pendant that users could wear around their neck or attach to clothing. While full details have not been revealed, the wearable is expected to build on technology developed by Limitless, an AI startup acquired by Meta in late 2025.Before the acquisition, Limitless developed a wearable pendant capable of recording conversations, creating summaries and helping users recall information from meetings and daily interactions. Following the acquisition, Meta said the deal would help accelerate its efforts to develop AI-enabled wearable technology. Industry observers believe Meta could integrate its AI assistant into the device, allowing users to interact with artificial intelligence throughout the day without needing to use a smartphone.<h2>Why is Meta investing in AI wearables?</h2>The move reflects a broader trend across the technology industry.Companies are increasingly exploring devices that allow users to access AI more naturally throughout the day. Instead of opening an app or typing a question, wearable devices can provide hands-free access to AI assistants.Meta CEO Mark Zuckerberg has repeatedly argued that wearable devices could become one of the most important ways people interact with artificial intelligence in the future. The company has already found success with its smart glasses developed in partnership with EssilorLuxottica, which combine cameras, audio features and AI-powered assistance. An AI pendant would represent another step towards making AI available throughout the day in a less intrusive form.<h2>Why have AI wearables struggled in the past?</h2>Despite growing interest in artificial intelligence, many dedicated AI wearable devices have struggled to gain widespread adoption. Several products launched over the past few years faced challenges related to privacy concerns, battery life, limited functionality and unclear consumer demand. Some users questioned whether wearable devices that continuously listen to conversations or collect information could create privacy risks. Others found that early AI devices did not offer enough practical benefits compared with smartphones. These challenges have led some technology companies to rethink how AI hardware should be designed and marketed. Meta appears to be betting that advances in AI models and wearable technology could make a new generation of devices more useful.<h2>Meta's broader wearable strategy</h2>The reported pendant project is only one part of Meta's expanding hardware plans. According to the report, the company is also working to expand its smart glasses lineup and is considering a subscription service called "Wearables for Work", aimed at business users. The strategy suggests Meta sees wearable technology as a major growth opportunity, particularly as artificial intelligence becomes more integrated into daily life. The company has invested billions of dollars in hardware development through its Reality Labs division, which oversees products related to virtual reality, augmented reality and wearable technology.<h2>Can AI wearables help Reality Labs?</h2> The success of future wearable products could be important for Meta's hardware business. Reality Labs has continued to face financial pressure despite ongoing investment. According to company disclosures, the division reported a loss of around $4 billion during the first quarter of the year. Meta has argued that these investments are necessary to build the next generation of computing platforms, including AI-powered devices and augmented reality products. Analysts say wearable devices could eventually become a key revenue source if consumers embrace AI assistants that work seamlessly throughout the day.

Meta is reportedly working on a new artificial intelligence-powered wearable device that could take the form of a pendant worn around the neck. 


Meta is reportedly working on a new artificial intelligence-powered wearable device that could take the form of a pendant worn around the neck. According to a report by The Information, the company plans to begin testing the device within the next year as it continues expanding its AI hardware strategy. The reported project comes as major technology companies increasingly explore AI-powered devices beyond smartphones and computers. Meta has already invested heavily in smart glasses and virtual reality products, and the new pendant could become another part of its growing wearable ecosystem. What is Meta's AI pendant? According to reports, Meta's new device would function as an AI-powered pendant that users could wear around their neck or attach to clothing. While full details have not been revealed, the wearable is expected to build on technology developed by Limitless, an AI startup acquired by Meta in late 2025. Before the acquisition, Limitless developed a wearable pendant capable of recording conversations, creating summaries and helping users recall information from meetings and daily interactions. Following the acquisition, Meta said the deal would help accelerate its efforts to develop AI-enabled wearable technology. Industry observers believe Meta could integrate its AI assistant into the device, allowing users to interact with artificial intelligence throughout the day without needing to use a smartphone. Why is Meta investing in AI wearables? The move reflects a broader trend across the technology industry. Companies are increasingly exploring devices that allow users to access AI more naturally throughout the day. Instead of opening an app or typing a question, wearable devices can provide hands-free access to AI assistants. Meta CEO Mark Zuckerberg has repeatedly argued that wearable devices could become one of the most important ways people interact with artificial intelligence in the future. The company has already found success with its smart glasses developed in partnership with EssilorLuxottica, which combine cameras, audio features and AI-powered assistance. An AI pendant would represent another step towards making AI available throughout the day in a less intrusive form. Why have AI wearables struggled in the past? Despite growing interest in artificial intelligence, many dedicated AI wearable devices have struggled to gain widespread adoption. Several products launched over the past few years faced challenges related to privacy concerns, battery life, limited functionality and unclear consumer demand. Some users questioned whether wearable devices that continuously listen to conversations or collect information could create privacy risks. Others found that early AI devices did not offer enough practical benefits compared with smartphones. These challenges have led some technology companies to rethink how AI hardware should be designed and marketed. Meta appears to be betting that advances in AI models and wearable technology could make a new generation of devices more useful. Meta's broader wearable strategy The reported pendant project is only one part of Meta's expanding hardware plans. According to the report, the company is also working to expand its smart glasses lineup and is considering a subscription service called "Wearables for Work", aimed at business users. The strategy suggests Meta sees wearable technology as a major growth opportunity, particularly as artificial intelligence becomes more integrated into daily life. The company has invested billions of dollars in hardware development through its Reality Labs division, which oversees products related to virtual reality, augmented reality and wearable technology. Can AI wearables help Reality Labs? The success of future wearable products could be important for Meta's hardware business. Reality Labs has continued to face financial pressure despite ongoing investment. According to company disclosures, the division reported a loss of around $4 billion during the first quarter of the year. Meta has argued that these investments are necessary to build the next generation of computing platforms, including AI-powered devices and augmented reality products. Analysts say wearable devices could eventually become a key revenue source if consumers embrace AI assistants that work seamlessly throughout the day.

Meta is reportedly working on a new artificial intelligence-powered wearable device that could take the form of a pendant worn around the neck.&nbsp;

After AI glasses, Meta is reportedly developing an AI pendant: What it is and how it could work

As the artificial intelligence race intensifies, most technology companies are focused on building larger and more powerful AI models. Google, however, is increasingly highlighting a different advantage lower costs.The company is promoting its Gemini 3.5 Flash model as a more affordable option for businesses that want AI capabilities without the high costs associated with some of the industry's most advanced systems. The move comes as organisations around the world face growing AI bills driven by rising usage and increasing demand for computing power.<h2>Why is Google focusing on AI costs?</h2>According to a report by Business Insider, Google believes many companies are spending far more than expected on artificial intelligence services. Google CEO Sundar Pichai recently said that businesses are rapidly consuming their annual AI budgets as usage expands across departments and workflows. He argued that organisations do not always need the most powerful AI model for every task and can significantly reduce costs by using a combination of models based on specific needs.Pichai said that if major Google Cloud customers shifted around 80 per cent of their AI workloads to a mix of Gemini 3.5 Flash and other AI models, they could collectively save more than $1 billion annually.The comments reflect a growing conversation within the technology industry about the long-term economics of artificial intelligence.<h2>What is Gemini 3.5 Flash?</h2>Gemini 3.5 Flash is Google's lower-cost AI model designed for speed and efficiency. While it may not offer all the capabilities of the company's most advanced frontier models, it is built to handle many everyday AI tasks at a lower operating cost. Businesses often use AI for customer support, content generation, document analysis, coding assistance and internal workflows. For many of these tasks, companies may not require the most expensive model available.Google's strategy is based on the idea that businesses can reserve premium AI models for highly complex work while using more efficient systems such as Gemini Flash for routine operations. Industry analysts say this approach is similar to how cloud computing evolved, where companies balance performance and cost depending on the workload.<h2>Why AI costs are becoming a major concern</h2>The rapid growth of artificial intelligence has increased demand for expensive computing infrastructure. Running advanced AI systems requires large data centres, specialised chips, electricity and networking resources.As companies deploy AI across more departments, costs can quickly rise. Several technology firms have recently acknowledged the challenge. Microsoft has spoken about the growing expense of AI infrastructure, while Amazon has reportedly reviewed internal AI usage practices as adoption accelerated across teams.Many organisations are now looking beyond AI performance alone and focusing on return on investment, efficiency and cost management.<h2>Google's infrastructure advantage</h2>One reason Google believes it can compete effectively on AI pricing is its control over much of the technology stack.Unlike some competitors, Google owns and operates:Its own AI modelsLarge-scale cloud infrastructureData centresCustom AI chipsGlobal networking systemsThis level of integration allows the company to optimise costs across multiple layers of its AI business. Analysts say this could become an important advantage as businesses increasingly compare not only model performance but also overall operating expenses.<h2>A new phase in the AI race</h2>For much of the past two years, AI companies have competed primarily on model capability. The focus was often on benchmarks, reasoning ability, coding performance and multimodal features. However, industry experts believe the next stage of competition could be centred on efficiency.As AI adoption grows, companies may increasingly ask questions such as:How much does the model cost to run? Can it deliver acceptable results at lower prices? What is the return on investment? How can businesses control rising AI spending? Google appears to be positioning Gemini 3.5 Flash around these concerns. The artificial intelligence market is entering a phase where performance alone may not determine success. While companies such as OpenAI, Anthropic, Meta and Google continue building increasingly capable models, businesses are paying closer attention to the financial impact of AI adoption.Google's latest strategy suggests that affordability and efficiency could become just as important as raw computing power. As AI usage continues to expand across industries, the companies that help customers balance performance and cost may gain an advantage in the next stage of the global AI race.

As the artificial intelligence race intensifies, most technology companies are focused on building larger and more powerful AI models. Google, however, is increasingly highlighting a different advantage lower costs.


As the artificial intelligence race intensifies, most technology companies are focused on building larger and more powerful AI models. Google, however, is increasingly highlighting a different advantage lower costs. The company is promoting its Gemini 3.5 Flash model as a more affordable option for businesses that want AI capabilities without the high costs associated with some of the industry's most advanced systems. The move comes as organisations around the world face growing AI bills driven by rising usage and increasing demand for computing power. Why is Google focusing on AI costs? According to a report by Business Insider, Google believes many companies are spending far more than expected on artificial intelligence services. Google CEO Sundar Pichai recently said that businesses are rapidly consuming their annual AI budgets as usage expands across departments and workflows. He argued that organisations do not always need the most powerful AI model for every task and can significantly reduce costs by using a combination of models based on specific needs. Pichai said that if major Google Cloud customers shifted around 80 per cent of their AI workloads to a mix of Gemini 3.5 Flash and other AI models, they could collectively save more than $1 billion annually. The comments reflect a growing conversation within the technology industry about the long-term economics of artificial intelligence. What is Gemini 3.5 Flash? Gemini 3.5 Flash is Google's lower-cost AI model designed for speed and efficiency. While it may not offer all the capabilities of the company's most advanced frontier models, it is built to handle many everyday AI tasks at a lower operating cost. Businesses often use AI for customer support, content generation, document analysis, coding assistance and internal workflows. For many of these tasks, companies may not require the most expensive model available. Google's strategy is based on the idea that businesses can reserve premium AI models for highly complex work while using more efficient systems such as Gemini Flash for routine operations. Industry analysts say this approach is similar to how cloud computing evolved, where companies balance performance and cost depending on the workload. Why AI costs are becoming a major concern The rapid growth of artificial intelligence has increased demand for expensive computing infrastructure. Running advanced AI systems requires large data centres, specialised chips, electricity and networking resources. As companies deploy AI across more departments, costs can quickly rise. Several technology firms have recently acknowledged the challenge. Microsoft has spoken about the growing expense of AI infrastructure, while Amazon has reportedly reviewed internal AI usage practices as adoption accelerated across teams. Many organisations are now looking beyond AI performance alone and focusing on return on investment, efficiency and cost management. Google's infrastructure advantage One reason Google believes it can compete effectively on AI pricing is its control over much of the technology stack. Unlike some competitors, Google owns and operates: Its own AI models Large-scale cloud infrastructure Data centres Custom AI chips Global networking systems This level of integration allows the company to optimise costs across multiple layers of its AI business. Analysts say this could become an important advantage as businesses increasingly compare not only model performance but also overall operating expenses. A new phase in the AI race For much of the past two years, AI companies have competed primarily on model capability. The focus was often on benchmarks, reasoning ability, coding performance and multimodal features. However, industry experts believe the next stage of competition could be centred on efficiency. As AI adoption grows, companies may increasingly ask questions such as: How much does the model cost to run? Can it deliver acceptable results at lower prices? What is the return on investment? How can businesses control rising AI spending? Google appears to be positioning Gemini 3.5 Flash around these concerns. The artificial intelligence market is entering a phase where performance alone may not determine success. While companies such as OpenAI, Anthropic, Meta and Google continue building increasingly capable models, businesses are paying closer attention to the financial impact of AI adoption.Google's latest strategy suggests that affordability and efficiency could become just as important as raw computing power. As AI usage continues to expand across industries, the companies that help customers balance performance and cost may gain an advantage in the next stage of the global AI race.

As the artificial intelligence race intensifies, most technology companies are focused on building larger and more powerful AI models. Google, however, is increasingly highlighting a different advantage lower costs.

Cheaper AI models could help businesses save billions: Here’s how

One company forgot to set usage limits on employee access to Anthropic's Claude platform and ended up with a hefty bill of $500 million, or Rs 48 billion (4,800 crore rupees), in one month. An AI consultant told Axios that it is not an error, and one of its clients ignored capping the use, leading to what might be one of the most costly IT governance failures. This comes as companies continue to push AI usage without creating guidelines and systems around its use. Such AI platforms use tokens, and every request costs a certain number of them. If no restrictions are placed, the tokens can run into way more than anticipated, leading to an extremely costly mistake.Also Read: <a href="https://www.wionews.com/trending/claude-and-chatgpt-say-there-are-2-ls-in-google-then-explain-what-went-wrong-1779957610411">'My bad! Good catch': Claude and ChatGPT say there are 2 Ls in Google. Then explain what went wrong</a><h2>AI coding agents were assigned lengthy tasks with long-context prompts</h2>According to the report, the company gave its employees unrestricted access to Claude. There were no spending caps, no usage limits and no dashboards that could provide a real-time view into how the AI platform is being used. Since they had a free hand, employees used it for the most resource-intensive workflows available. They created AI coding agents and agentic pipelines that executed multiple stages on their own without any human intervention. Lengthy workflows come with high costs attached, and when combined with long-context prompts, where a single query is provided to process large volumes of text, it multiplies manifold.&nbsp;Multiple employees relied on such prompts and processes, and this quickly snowballed into the company incurring high costs. There was no system in place to halt or at least flag the costs that kept adding up.&nbsp;Also Read: <a href="https://www.wionews.com/trending/after-disregard-google-ai-overview-has-a-spelling-problem-p-in-google-and-2-m-in-gemini-1779967800785">After 'Disregard', Google AI Overview has a spelling problem - 'P' in Google and 2 'M' in Gemini</a><h2>AI token spending push</h2>This is quickly becoming a major problem across organisations. Aggressive deployment of AI coding tools without proper planning is leading companies to incur high costs. Microsoft recently initiated a cancellation of its internal Claude Code licences after each engineer started spending $500 to $2,000 in a month, according to The Verge. Uber used up its entire 2026 AI budget by April, prompting its COO to say that it was becoming harder to justify AI costs. These eye-opening incidents have now led companies to set up real-time dashboards where usage can be monitored and alerts about how much has been spent.Also Read: <a href="https://www.wionews.com/trending/claude-and-chatgpt-say-there-are-2-ls-in-google-then-explain-what-went-wrong-1779957610411">AI adoption is not leading to a job apocalypse or saving many firms real money. Make haste slowly? A reality check</a>&nbsp;On the other hand, companies are also pushing employees to use as much AI as they can, and even monitoring their usage. Amazon started an AI leaderboard called &nbsp;"Kirorank". This led to fears among employees that token statistics would factor into performance reviews. So they started assigning meaningless tasks to AI agents to meet the requirement. Amazon had to ultimately close it down. This push to use more AI tokens has been dubbed "tokenmaxxing", where employees with the highest AI usage are rewarded.&nbsp;

A major fumble with Claude AI led to one company being billed over $500 million, or nearly Rs 4,800 crore, for one month. Employees were told to use the tool, and so they used it to create AI coding agents and agentic pipelines. No one monitored the expenses, which just exploded.

One company forgot to set usage limits on employee access to Anthropic's Claude platform and ended up with a hefty bill of $500 million, or Rs 48 billion (4,800 crore rupees), in one month. An AI consultant told Axios that it is not an error, and one of its clients ignored capping the use, leading to what might be one of the most costly IT governance failures. This comes as companies continue to push AI usage without creating guidelines and systems around its use. Such AI platforms use tokens, and every request costs a certain number of them. If no restrictions are placed, the tokens can run into way more than anticipated, leading to an extremely costly mistake. Also Read: 'My bad! Good catch': Claude and ChatGPT say there are 2 Ls in Google. Then explain what went wrong AI coding agents were assigned lengthy tasks with long-context prompts According to the report, the company gave its employees unrestricted access to Claude. There were no spending caps, no usage limits and no dashboards that could provide a real-time view into how the AI platform is being used. Since they had a free hand, employees used it for the most resource-intensive workflows available. They created AI coding agents and agentic pipelines that executed multiple stages on their own without any human intervention. Lengthy workflows come with high costs attached, and when combined with long-context prompts, where a single query is provided to process large volumes of text, it multiplies manifold. Multiple employees relied on such prompts and processes, and this quickly snowballed into the company incurring high costs. There was no system in place to halt or at least flag the costs that kept adding up. Also Read: After 'Disregard', Google AI Overview has a spelling problem - 'P' in Google and 2 'M' in Gemini AI token spending push This is quickly becoming a major problem across organisations. Aggressive deployment of AI coding tools without proper planning is leading companies to incur high costs. Microsoft recently initiated a cancellation of its internal Claude Code licences after each engineer started spending $500 to $2,000 in a month, according to The Verge. Uber used up its entire 2026 AI budget by April, prompting its COO to say that it was becoming harder to justify AI costs. These eye-opening incidents have now led companies to set up real-time dashboards where usage can be monitored and alerts about how much has been spent. Also Read: AI adoption is not leading to a job apocalypse or saving many firms real money. Make haste slowly? A reality check On the other hand, companies are also pushing employees to use as much AI as they can, and even monitoring their usage. Amazon started an AI leaderboard called "Kirorank". This led to fears among employees that token statistics would factor into performance reviews. So they started assigning meaningless tasks to AI agents to meet the requirement. Amazon had to ultimately close it down. This push to use more AI tokens has been dubbed "tokenmaxxing", where employees with the highest AI usage are rewarded.

A major fumble with Claude AI led to one company being billed over $500 million, or nearly Rs 4,800 crore, for one month. Employees were told to use the tool, and so they used it to create AI coding agents and agentic pipelines. No one monitored the expenses, which just exploded.

Company accidentally blows away Rs 4,800 crore on Claude AI in a month because of a tiny oversight

A mother and daughter fell victim to easily available AI tools when a priest created explicit images of the two after the latter refused his friend request. The 27-year-old Delhi man morphed their faces using AI, made multiple fake social media accounts and then uploaded the images on all of them. He was arrested on Wednesday by the Ahmedabad City Cyber Crime Branch, which had launched a search for him under its Mission Cyber Rakshika #SecureHerSpace. Sumit Nemchand Sharma makes videos related to religious messages for social media platforms. He approached the woman, based in Gujarat, on Instagram and started talking about religious topics. He later asked her to have a personal relationship, but the woman refused. She has accused Sharma of stalking her between December 2025 and April 6 because of the denial.&nbsp;He went to her social media accounts and downloaded photos of her and her mother. Then he searched for AI tools that could unclothe a person. He uploaded pictures of the two women on these tools and created over 100 morphed nude images and videos of them. He created three fake Instagram accounts and a YouTube channel in the woman's name and posted the AI-generated content. Sharma also made indecent comments on them from other fake accounts to humiliate them. Upon investigation, it was revealed that he had made eight to ten fake accounts across X, Facebook, Instagram and YouTube.Also Read: <a href="https://www.wionews.com/trending/claude-and-chatgpt-say-there-are-2-ls-in-google-then-explain-what-went-wrong-1779957610411">'My bad! Good catch': Claude and ChatGPT say there are 2 Ls in Google. Then explain what went wrong</a><h2>Sharma searched for 'AI Remove Clothes' on Google</h2>Officials said Sharma intended to "mentally harass the complainant and damage her reputation in society." They added, "He downloaded photographs of the complainant and her mother from her Instagram account and used multiple websites after searching 'AI Remove Clothes' on Google to create morphed nude images and videos using Artificial Intelligence tools."&nbsp;The Ahmedabad Cyber Crime team used digital tracking and human intelligence to trace the accused to Usmanpur in North East Delhi. He has been booked under relevant sections of the Bharatiya Nyaya Sanhita and the Information Technology Act.

A woman and her mother were targeted by a man who posts religious discourse videos on social media. He made explicit pictures of the two using AI tools after the woman turned him down when he approached him for a personal relationship.

A mother and daughter fell victim to easily available AI tools when a priest created explicit images of the two after the latter refused his friend request. The 27-year-old Delhi man morphed their faces using AI, made multiple fake social media accounts and then uploaded the images on all of them. He was arrested on Wednesday by the Ahmedabad City Cyber Crime Branch, which had launched a search for him under its Mission Cyber Rakshika #SecureHerSpace. Sumit Nemchand Sharma makes videos related to religious messages for social media platforms. He approached the woman, based in Gujarat, on Instagram and started talking about religious topics. He later asked her to have a personal relationship, but the woman refused. She has accused Sharma of stalking her between December 2025 and April 6 because of the denial. He went to her social media accounts and downloaded photos of her and her mother. Then he searched for AI tools that could unclothe a person. He uploaded pictures of the two women on these tools and created over 100 morphed nude images and videos of them. He created three fake Instagram accounts and a YouTube channel in the woman's name and posted the AI-generated content. Sharma also made indecent comments on them from other fake accounts to humiliate them. Upon investigation, it was revealed that he had made eight to ten fake accounts across X, Facebook, Instagram and YouTube. Also Read: 'My bad! Good catch': Claude and ChatGPT say there are 2 Ls in Google. Then explain what went wrong Sharma searched for 'AI Remove Clothes' on Google Officials said Sharma intended to "mentally harass the complainant and damage her reputation in society." They added, "He downloaded photographs of the complainant and her mother from her Instagram account and used multiple websites after searching 'AI Remove Clothes' on Google to create morphed nude images and videos using Artificial Intelligence tools." The Ahmedabad Cyber Crime team used digital tracking and human intelligence to trace the accused to Usmanpur in North East Delhi. He has been booked under relevant sections of the Bharatiya Nyaya Sanhita and the Information Technology Act.

A woman and her mother were targeted by a man who posts religious discourse videos on social media. He made explicit pictures of the two using AI tools after the woman turned him down when he approached him for a personal relationship.

Delhi man arrested in AI revenge porn case targeting mother and daughter

Artificial intelligence is reshaping the global technology industry, with many companies reducing jobs as they invest more heavily in automation and AI systems. However, amid this wave of layoffs, cybersecurity has emerged as one of the fastest-growing hiring sectors as organisations rush to protect themselves against increasingly advanced cyber threats.&nbsp; Major technology companies including Microsoft, Amazon and Oracle have all linked parts of their recent workforce reductions to AI-driven restructuring and automation strategies. Reports indicate that thousands of jobs have been affected globally as firms shift more resources towards AI infrastructure, cloud computing and automation tools. More recently, Meta reportedly cut around 8,000 jobs as part of its broader AI-focused restructuring plans.<h2>Cybersecurity hiring rises as AI threats grow</h2>At the same time, demand for cybersecurity professionals is increasing rapidly. According to a report by The New York Times, recruiters are struggling to find enough cybersecurity experts to fill rising numbers of vacancies. Analysts say the surge is directly linked to growing fears around AI-powered cyberattacks and digital vulnerabilities. One of the biggest concerns is that advanced AI models can now identify software vulnerabilities far faster than traditional security systems. AI systems such as Anthropic’s Claude Mythos have reportedly demonstrated the ability to detect thousands of weaknesses in software within a short period of time. While such tools can help companies improve security, experts warn that attackers may also use similar AI systems to identify flaws in critical infrastructure, banking systems and enterprise software at unprecedented speed. Governments, regulators, banks and major corporations are therefore increasing cybersecurity investments to prepare for these emerging risks. Reports suggest that India’s leading banks, government departments and IT firms have already begun stress-testing important systems amid concerns around AI-assisted cyber threats.<h2>AI tools are helping hackers and defenders alike</h2>Despite rapid progress in AI, cybersecurity researchers say human expertise remains essential. AI systems may help detect bugs or automate parts of security analysis, but experienced professionals are still needed to understand how attacks function in real-world environments. One recent example involved a cybersecurity startup using an AI system to help develop an exploit targeting Apple’s new chip protection technology. Researchers said the AI accelerated the process, but human specialists were still required to understand and bypass the security system effectively. Experts say this highlights an important shift in cybersecurity. AI is becoming a tool that can help both defenders and attackers, increasing the need for skilled professionals who can respond to fast-changing threats.<h2>‘Vibe coding’ creating new security concerns</h2>Another major factor driving cybersecurity hiring is the rapid rise of AI-assisted software development, often called “vibe coding”. According to a recent Wired report, nearly 40 per cent of applications developed with AI coding assistance exposed sensitive information, including financial records, medical data, internal company documents and chatbot conversations. Security experts believe many developers are now launching software faster with AI tools but without proper security testing, creating more opportunities for cyberattacks. As more businesses adopt AI coding systems, demand for cybersecurity professionals is rising to identify and fix vulnerabilities before attackers can exploit them.<h2>Some experts question AI-linked layoffs</h2> While AI continues to be cited as a reason for layoffs, some industry leaders believe companies may also be using AI as a convenient explanation for broader cost-cutting measures. Sridhar Vembu has repeatedly questioned the current AI hype cycle, arguing that productivity improvements from AI are still limited in many areas. According to him, some firms may be blaming AI for layoffs that are actually driven by economic pressure and investor expectations rather than direct automation.<h2>What this means for tech jobs</h2>The overall trend highlights how the technology job market is changing. While automation is reducing demand for some traditional roles, cybersecurity jobs are becoming increasingly important as AI expands both opportunities and risks in the digital world.Experts believe demand for:Security analystsEthical hackersCyber defence specialistsInfrastructure protection expertswill continue to rise as organisations increase spending on digital protection.What happens nextAs AI systems become more advanced, companies are expected to invest even more in cybersecurity to protect critical infrastructure and sensitive data. The development highlights a growing reality in the technology sector: while AI may reduce certain jobs, it is also creating urgent demand in areas where human judgement, security expertise and risk management remain essential.

Artificial intelligence is reshaping the global technology industry, with many companies reducing jobs as they invest more heavily in automation and AI systems. However, amid this wave of layoffs, cybersecurity has emerged as one of the fastest-growing hiring sectors.


Artificial intelligence is reshaping the global technology industry, with many companies reducing jobs as they invest more heavily in automation and AI systems. However, amid this wave of layoffs, cybersecurity has emerged as one of the fastest-growing hiring sectors as organisations rush to protect themselves against increasingly advanced cyber threats. Major technology companies including Microsoft, Amazon and Oracle have all linked parts of their recent workforce reductions to AI-driven restructuring and automation strategies. Reports indicate that thousands of jobs have been affected globally as firms shift more resources towards AI infrastructure, cloud computing and automation tools. More recently, Meta reportedly cut around 8,000 jobs as part of its broader AI-focused restructuring plans. Cybersecurity hiring rises as AI threats grow At the same time, demand for cybersecurity professionals is increasing rapidly. According to a report by The New York Times, recruiters are struggling to find enough cybersecurity experts to fill rising numbers of vacancies. Analysts say the surge is directly linked to growing fears around AI-powered cyberattacks and digital vulnerabilities. One of the biggest concerns is that advanced AI models can now identify software vulnerabilities far faster than traditional security systems. AI systems such as Anthropic’s Claude Mythos have reportedly demonstrated the ability to detect thousands of weaknesses in software within a short period of time. While such tools can help companies improve security, experts warn that attackers may also use similar AI systems to identify flaws in critical infrastructure, banking systems and enterprise software at unprecedented speed. Governments, regulators, banks and major corporations are therefore increasing cybersecurity investments to prepare for these emerging risks. Reports suggest that India’s leading banks, government departments and IT firms have already begun stress-testing important systems amid concerns around AI-assisted cyber threats. AI tools are helping hackers and defenders alike Despite rapid progress in AI, cybersecurity researchers say human expertise remains essential. AI systems may help detect bugs or automate parts of security analysis, but experienced professionals are still needed to understand how attacks function in real-world environments. One recent example involved a cybersecurity startup using an AI system to help develop an exploit targeting Apple’s new chip protection technology. Researchers said the AI accelerated the process, but human specialists were still required to understand and bypass the security system effectively. Experts say this highlights an important shift in cybersecurity. AI is becoming a tool that can help both defenders and attackers, increasing the need for skilled professionals who can respond to fast-changing threats. ‘Vibe coding’ creating new security concerns Another major factor driving cybersecurity hiring is the rapid rise of AI-assisted software development, often called “vibe coding”. According to a recent Wired report, nearly 40 per cent of applications developed with AI coding assistance exposed sensitive information, including financial records, medical data, internal company documents and chatbot conversations. Security experts believe many developers are now launching software faster with AI tools but without proper security testing, creating more opportunities for cyberattacks. As more businesses adopt AI coding systems, demand for cybersecurity professionals is rising to identify and fix vulnerabilities before attackers can exploit them. Some experts question AI-linked layoffs While AI continues to be cited as a reason for layoffs, some industry leaders believe companies may also be using AI as a convenient explanation for broader cost-cutting measures. Sridhar Vembu has repeatedly questioned the current AI hype cycle, arguing that productivity improvements from AI are still limited in many areas. According to him, some firms may be blaming AI for layoffs that are actually driven by economic pressure and investor expectations rather than direct automation. What this means for tech jobs The overall trend highlights how the technology job market is changing. While automation is reducing demand for some traditional roles, cybersecurity jobs are becoming increasingly important as AI expands both opportunities and risks in the digital world. Experts believe demand for: Security analysts Ethical hackers Cyber defence specialists Infrastructure protection experts will continue to rise as organisations increase spending on digital protection. What happens next As AI systems become more advanced, companies are expected to invest even more in cybersecurity to protect critical infrastructure and sensitive data. The development highlights a growing reality in the technology sector: while AI may reduce certain jobs, it is also creating urgent demand in areas where human judgement, security expertise and risk management remain essential.

Artificial intelligence is reshaping the global technology industry, with many companies reducing jobs as they invest more heavily in automation and AI systems. However, amid this wave of layoffs, cybersecurity has emerged as one of the fastest-growing hiring sectors.

‘AI and layoffs’: Why cybersecurity experts are now in high demand

North Korean leader Kim Jong Un has overseen a new missile test involving what state media describes as an AI-guided weapons system. The development signals a continued push by Pyongyang to modernize its military capabilities amid rising regional tensions. 

Kim Jong Un Supervises Test of AI-Guided Missile System

Zoho founder Sridhar Vembu has questioned the hype around artificial intelligence and asked whether AI was truly delivering real productivity gains. He also claimed that companies may be using AI to cut labour cost and impress investors. Vembu had in fact been questioning the strong hype and narrative around AI even before top AI leaders started toning down their warnings abound massive job losses due to AI.&nbsp;&nbsp;For the last two years, the global tech leaders have kept asserting that AI would improve productivity massively, automate white-collar work and eventually replace millions of human jobs. Companies invested billions into AI infrastructure, investors poured money into startups, and business leaders repeatedly warned employees to prepare for disruption, with some even warning of an ‘apocalypse’.&nbsp;Also Read: <a href="https://www.wionews.com/world/us-to-pull-back-forces-from-iran-s-vicinity-lift-naval-blockade-claims-iran-s-state-media-1779889541135">US to pull back forces from Iran’s vicinity, lift naval blockade, claims Iran’s state media</a><h2>‘Companies using AI as convenient explanation for layoffs’</h2>&nbsp;Over the past few weeks, Sridhar Vembu has repeatedly criticised the current AI hype on X, arguing that actual productivity gains remain limited and that companies are using AI as a convenient explanation for layoffs that are really tied to economic pressure and investor expectations.His comments are now drawing attention online because major tech leaders, including Sam Altman, Jeff Bezos and Jensen Huang, have started changing their stance about AI replacing jobs.&nbsp;Early in the month, Vembu questioned why most of the American public, including college students, have started developing negative feelings toward AI despite the technology being promoted as revolutionary.&nbsp;&nbsp;Also Read: <a href="https://www.wionews.com/india-news/skill-chance-irrelevant-if-money-staked-sc-upholds-retrospective-28-gst-levy-on-online-gaming-companies-1779884645944">‘Skill, chance irrelevant if money staked’: SC upholds retrospective 28% GST levy on online gaming companies</a>&nbsp;Vembu said companies are wrongly linking layoffs with AI progress.“It does not help that companies are blaming job losses on AI, which is both convenient and, as an added bonus, makes a company look visionary,” he wrote on X.&nbsp;Vembu argued that layoffs are more closely connected to rising costs and economic pressure rather than AI suddenly becoming capable enough to replace workers at scale.&nbsp;“The layoffs are related to rising cost pressures,” he added.&nbsp;&nbsp;<h2>‘AI investment bubble has kept US economy afloat, but not for long’</h2>&nbsp;&nbsp;On Wednesday, Vembu warned that the economic picture globally is becoming weaker and that AI alone cannot solve all the problems.“The AI investment bubble has kept the US economy afloat, but that can only go on for so long,” Vembu said.&nbsp;Also Read: <a href="https://www.wionews.com/world/trump-s-push-for-muslim-nations-joining-abraham-accords-puts-pakistan-in-a-fix-1779729876943">Trump’s push for Muslim nations to join Abraham Accords puts Pakistan in a fix</a>&nbsp;He also argued that previous technological revolutions also failed to prevent economic crises, pointing to the global financial crisis of 2008 despite the smartphone boom created by the iPhone era.“AI will not magically cure global imbalances,” he wrote.&nbsp;Vembu also questioned one of the biggest assumptions that AI tools will dramatically increase software engineering productivity.&nbsp;<h2>‘Current AI boom may be biggest financial bubble yet’</h2>&nbsp;Discussing AI-generated coding tools based on large language models (LLMs), Vembu said that companies are investing hundreds of billions of dollars, believing productivity could rise 10 times or more, but things are looking very different in reality.&nbsp;Also Read: <a href="https://www.wionews.com/world/undeclared-chemical-weapons-from-former-president-assad-era-found-in-syria-1779829277892">Undeclared chemical weapons from former president Assad-era found in Syria</a>&nbsp;Many big companies across the world have been investing aggressively in AI infrastructure while also reducing their staff.Vembu called the current AI boom an “investment bubble”, adding that large technology revolutions often create financial bubbles, but this one may be the biggest yet.

Zoho founder Sridhar Vembu has repeatedly criticised the current AI hype and argued that its actual productivity gains remain limited and that companies are using AI as a convenient explanation for layoffs that are really tied to economic pressure and investor expectations.

Zoho founder Sridhar Vembu has questioned the hype around artificial intelligence and asked whether AI was truly delivering real productivity gains. He also claimed that companies may be using AI to cut labour cost and impress investors. Vembu had in fact been questioning the strong hype and narrative around AI even before top AI leaders started toning down their warnings abound massive job losses due to AI. For the last two years, the global tech leaders have kept asserting that AI would improve productivity massively, automate white-collar work and eventually replace millions of human jobs. Companies invested billions into AI infrastructure, investors poured money into startups, and business leaders repeatedly warned employees to prepare for disruption, with some even warning of an ‘apocalypse’. Also Read: US to pull back forces from Iran’s vicinity, lift naval blockade, claims Iran’s state media ‘Companies using AI as convenient explanation for layoffs’ Over the past few weeks, Sridhar Vembu has repeatedly criticised the current AI hype on X, arguing that actual productivity gains remain limited and that companies are using AI as a convenient explanation for layoffs that are really tied to economic pressure and investor expectations. His comments are now drawing attention online because major tech leaders, including Sam Altman, Jeff Bezos and Jensen Huang, have started changing their stance about AI replacing jobs. Early in the month, Vembu questioned why most of the American public, including college students, have started developing negative feelings toward AI despite the technology being promoted as revolutionary. Also Read: ‘Skill, chance irrelevant if money staked’: SC upholds retrospective 28% GST levy on online gaming companies Vembu said companies are wrongly linking layoffs with AI progress. “It does not help that companies are blaming job losses on AI, which is both convenient and, as an added bonus, makes a company look visionary,” he wrote on X. Vembu argued that layoffs are more closely connected to rising costs and economic pressure rather than AI suddenly becoming capable enough to replace workers at scale. “The layoffs are related to rising cost pressures,” he added. ‘AI investment bubble has kept US economy afloat, but not for long’ On Wednesday, Vembu warned that the economic picture globally is becoming weaker and that AI alone cannot solve all the problems. “The AI investment bubble has kept the US economy afloat, but that can only go on for so long,” Vembu said. Also Read: Trump’s push for Muslim nations to join Abraham Accords puts Pakistan in a fix He also argued that previous technological revolutions also failed to prevent economic crises, pointing to the global financial crisis of 2008 despite the smartphone boom created by the iPhone era. “AI will not magically cure global imbalances,” he wrote. Vembu also questioned one of the biggest assumptions that AI tools will dramatically increase software engineering productivity. ‘Current AI boom may be biggest financial bubble yet’ Discussing AI-generated coding tools based on large language models (LLMs), Vembu said that companies are investing hundreds of billions of dollars, believing productivity could rise 10 times or more, but things are looking very different in reality. Also Read: Undeclared chemical weapons from former president Assad-era found in Syria Many big companies across the world have been investing aggressively in AI infrastructure while also reducing their staff. Vembu called the current AI boom an “investment bubble”, adding that large technology revolutions often create financial bubbles, but this one may be the biggest yet.

Zoho founder Sridhar Vembu has repeatedly criticised the current AI hype and argued that its actual productivity gains remain limited and that companies are using AI as a convenient explanation for layoffs that are really tied to economic pressure and investor expectations.

Zoho founder Sridhar Vembu says AI giving no gains, tech firms firing workers for no real reason

OpenAI CEO, Sam Altman, envisions a future where people will buy intelligence "on a metre", just like any other utility, such as electricity. Speaking at BlackRock in Washington, DC, Altman said that soon, it would become something that consumers and businesses would "plug into" like Wi-Fi or running water. The statement has triggered debate over the future of AI and the people who would control it. “We see a future where intelligence is a utility, like electricity or water, and people buy it from us on a meter," Altman said. His statement and the use of the word "us" paint a scary picture where specific people would be in control of a utility that would be in huge demand. Artificial Intelligence is being pushed across industries globally, with people like Altman, Elon Musk and Jensen Huang strongly advocating for its use.Also Read: <a href="https://www.wionews.com/trending/delighted-to-be-wrong-sam-altman-says-ai-may-not-trigger-feared-white-collar-job-apocalypse-1779801560534">‘Delighted to be wrong’: Sam Altman says AI may not trigger feared white-collar job apocalypse</a>&nbsp;Experts suggest that AI will soon stop merely being a software and will turn into a utility like electricity or cloud computing. Itwill always be available, constantly run in the background and cost people based on usage. They can tap into a centralised "intelligence grid" and pay for what they use. Altman referenced the old nuclear-energy phrase “too cheap to meter" to indicate that intelligence could be abundant and accessible in the future. He said, "One of the most important things in the future is that we make intelligence, to borrow an old phrase from the energy industry that didn't quite work: 'Too cheap to meter.'"<h2>What is the phrase "too cheap to meter"?</h2>Notably, the phrase "too cheap to meter" was coined in 1954 by Lewis Strauss, the chairman of the U.S. Atomic Energy Commission. Scientists and policymakers once believed that nuclear energy would become so efficient and inexpensive to produce that there would be no need to install meters and charge people for electricity. It would essentially be "free", just like the air we breathe. However, that idea totally collapsed on its face because of the regulatory and safety regulations.&nbsp;<h2>Altman's picture of a civilisation-level change</h2>Meanwhile, Altman is facing flak for his latest statement on AI, not because of yet another push, but for putting a price on real human intelligence and comparing it to electricity. While electricity powers machines, intelligence affects human decision-making and education. Critics argue that treating cognition as a metered corporate service raises questions, such as the control of advanced reasoning being in the hands of a few corporations. This becomes even scarier since the billionaires promoting it, are painting a picture where it will change humanity on a civilisational scale. It is no longer merely a technology, but a force that could alter human lives forever.

Sam Altman wants to sell intelligence "on a metre", and thinks one day it could turn into a utility that people can simply tap into and pay based on the amount of usage, like electricity or water. His words have created panic because of a civilisation-level dynamic.

OpenAI CEO, Sam Altman, envisions a future where people will buy intelligence "on a metre", just like any other utility, such as electricity. Speaking at BlackRock in Washington, DC, Altman said that soon, it would become something that consumers and businesses would "plug into" like Wi-Fi or running water. The statement has triggered debate over the future of AI and the people who would control it. “We see a future where intelligence is a utility, like electricity or water, and people buy it from us on a meter," Altman said. His statement and the use of the word "us" paint a scary picture where specific people would be in control of a utility that would be in huge demand. Artificial Intelligence is being pushed across industries globally, with people like Altman, Elon Musk and Jensen Huang strongly advocating for its use. Also Read: ‘Delighted to be wrong’: Sam Altman says AI may not trigger feared white-collar job apocalypse Experts suggest that AI will soon stop merely being a software and will turn into a utility like electricity or cloud computing. Itwill always be available, constantly run in the background and cost people based on usage. They can tap into a centralised "intelligence grid" and pay for what they use. Altman referenced the old nuclear-energy phrase “too cheap to meter" to indicate that intelligence could be abundant and accessible in the future. He said, "One of the most important things in the future is that we make intelligence, to borrow an old phrase from the energy industry that didn't quite work: 'Too cheap to meter.'" What is the phrase "too cheap to meter"? Notably, the phrase "too cheap to meter" was coined in 1954 by Lewis Strauss, the chairman of the U.S. Atomic Energy Commission. Scientists and policymakers once believed that nuclear energy would become so efficient and inexpensive to produce that there would be no need to install meters and charge people for electricity. It would essentially be "free", just like the air we breathe. However, that idea totally collapsed on its face because of the regulatory and safety regulations. Altman's picture of a civilisation-level change Meanwhile, Altman is facing flak for his latest statement on AI, not because of yet another push, but for putting a price on real human intelligence and comparing it to electricity. While electricity powers machines, intelligence affects human decision-making and education. Critics argue that treating cognition as a metered corporate service raises questions, such as the control of advanced reasoning being in the hands of a few corporations. This becomes even scarier since the billionaires promoting it, are painting a picture where it will change humanity on a civilisational scale. It is no longer merely a technology, but a force that could alter human lives forever.

Sam Altman wants to sell intelligence "on a metre", and thinks one day it could turn into a utility that people can simply tap into and pay based on the amount of usage, like electricity or water. His words have created panic because of a civilisation-level dynamic.

Altman paints intelligence as a civilisation-altering commodity sold 'on a metre': Just like 'electricity or Wi-Fi'

The world’s electricity report card for last year is out, and fossil fuels are still in charge. More importantly, artificial intelligence is burning through natural gas, which was supposed to be a bridge fuel.

Fossil Fuels Still Power 57% of the World

Open AI CEO Sam Altman on Tuesday (May 26) said fears of an artificial intelligence-driven jobs collapse may have been overstated, admitting that his earlier predictions about large-scale losses of white-collar jobs have not unfolded as quickly as he once expected.&nbsp;Speaking at a conference organised by the Commonwealth Bank of Australia in Sydney, Altman reflected on how his views on AI’s impact on employment have changed since the launch of OpenAI’s ChatGPT in 2022.&nbsp;“I’m delighted to be wrong about this,” Altman said. “I thought there would have been more impact on entry-level white-collar jobs being eliminated by now than has actually happened."&nbsp;Altman said he had initially believed AI systems would rapidly replace a large number of routine office roles. However, over time, he realised that people continue to value direct human interaction more than many in the technology sector had anticipated.

Sharing a personal example, Altman said he once experimented with using AI to handle replies to Slack and email messages under the tag “this is Sam’s AI.” He later returned to responding to some messages himself.&nbsp;“We really do care about people,” Altman said, adding that software still struggles to fully replicate human connection and communication.&nbsp;According to Altman, AI is more likely to reshape work rather than completely eliminate the need for humans. He said people would continue playing important roles in creativity, communication, judgment, and emotional understanding even as AI systems become more advanced.&nbsp;“I don’t think we’re going to have the kind of jobs apocalypse that some of the companies in our space advocate or talk about,” he said.&nbsp;Also Read: <a href="https://www.wionews.com/world/patients-flee-treatment-as-hospitals-come-under-attack-amid-ebola-outbreak-and-rising-violence-in-dr-congo-1779794524383">Ebola patients flee treatment as hospitals come under attack amid rising violence in DR Congo</a>&nbsp;Altman’s comments mark a softer tone compared with some of his earlier warnings about AI’s effect on employment. In a 2023 interview with The Atlantic, he said “jobs are definitely going to go away” as businesses increasingly adopted AI technologies, though he argued that better jobs would eventually emerge. Last year, he also told a Federal Reserve conference that “entire classes” of jobs could disappear.&nbsp;His latest remarks come at a time when concerns over AI-led restructuring continue to grow across the global technology sector. Major companies have been increasing investments in AI infrastructure while simultaneously cutting jobs.&nbsp;According to layoff tracker TrueUp, more than 144,000 technology workers have lost their jobs globally so far in 2026. Among the biggest workforce reductions this year, Meta announced plans to cut around 8,000 jobs as part of its AI restructuring strategy, with additional layoffs expected later in the year.

Altman’s remarks mark a softer shift from his earlier warnings on AI and employment. He had previously said that jobs would disappear as AI adoption increased and later warned that “entire classes” of jobs could vanish.

Open AI CEO Sam Altman on Tuesday (May 26) said fears of an artificial intelligence-driven jobs collapse may have been overstated, admitting that his earlier predictions about large-scale losses of white-collar jobs have not unfolded as quickly as he once expected. Speaking at a conference organised by the Commonwealth Bank of Australia in Sydney, Altman reflected on how his views on AI’s impact on employment have changed since the launch of OpenAI’s ChatGPT in 2022. “I’m delighted to be wrong about this,” Altman said. “I thought there would have been more impact on entry-level white-collar jobs being eliminated by now than has actually happened." Altman said he had initially believed AI systems would rapidly replace a large number of routine office roles. However, over time, he realised that people continue to value direct human interaction more than many in the technology sector had anticipated.

Altman’s remarks mark a softer shift from his earlier warnings on AI and employment. He had previously said that jobs would disappear as AI adoption increased and later warned that “entire classes” of jobs could vanish.

‘Delighted to be wrong’: Sam Altman says AI may not trigger feared white-collar job apocalypse

Pope Leo XIV on Monday (May 25) called for the “disarming” of artificial intelligence in his long-awaited first encyclical, Magnifica Humanitas (Magnificent Humanity). Leo, the first US pope, warned against “a race for ever more powerful algorithms and larger datasets, driven by the desire to secure geopolitical or commercial dominance”, comparing the technology race to the biblical builders of the Tower of Babel. What did he mean by that? What is the biblical Tower of Babel? WION Decodes.Also read | <a href="https://www.wionews.com/india-news/india-s-students-deserve-better-cockroach-janata-party-revives-petition-targeting-edu-minister-dharmendra-pradhan-neet-2026-paper-leak-1779774614724">'India’s students deserve better': Cockroach Janata Party revives petition targeting Edu Minister Dharmendra Pradhan</a><h2>What did the Pope say?</h2>Calling for “robust legal frameworks, independent oversight, informed users and a political system that does not abdicate its responsibility”, Leo invoked the story of the Tower of Babel.“With the heart of a shepherd and a father, I ask everyone to abandon the construction of yet another Tower of Babel and to join forces in building up the common good,” wrote Pope Leo. He warned that AI risks reducing humans to merely “cogs”.<h2>What is the Tower of Babel?</h2>In Christian lore, the Tower of Babel represents a civilisation driven by pride, centralised power and human ambition detached from moral responsibility. The tale from Genesis 11:1-9 in the Hebrew Bible tells the story of a world where everyone spoke the same language and understood one another. However, as time passed and the population grew, humanity migrated eastward until people found a vast, fertile plain in the land of Shinar (Babylonia). There, they decided to settle and build a city.They planned to build a tower “that reaches all the way into the heavens!”. This, they said, would help them “make a great name for ourselves, and we will never be scattered or lost across the earth.”Also read | <a href="https://www.wionews.com/india-news/green-card-applicants-should-go-home-new-us-citizenship-rule-may-hit-indians-hardest-check-how-you-could-be-affected-1779514161561">Green card applicants should go home? New US citizenship rule may hit Indians hardest; check how you could be affected</a>As the story goes, they did not use ordinary stone. Instead, they baked mud into hard clay bricks and used thick black tar for mortar, building the tower higher and higher. Their intense ambition did not go unnoticed, and God descended from heaven to see the tower.God realised that the people had been blinded by ambition and pride, and decided to intervene. He confused their speech, making it difficult for them to understand one another. Eventually, unable to communicate, the people scattered across the earth, abandoning the Tower of Babel, which is now known as the symbol of confusion and division.

Why did Pope Leo compare today’s AI race to the biblical Tower of Babel? In his first major message as pope, Leo warned that humanity risks repeating an ancient mistake. So what exactly is the Tower of Babel story? Scroll down to find out.

Pope Leo XIV on Monday (May 25) called for the “disarming” of artificial intelligence in his long-awaited first encyclical, Magnifica Humanitas (Magnificent Humanity). Leo, the first US pope, warned against “a race for ever more powerful algorithms and larger datasets, driven by the desire to secure geopolitical or commercial dominance”, comparing the technology race to the biblical builders of the Tower of Babel. What did he mean by that? What is the biblical Tower of Babel? WION Decodes. Also read | 'India’s students deserve better': Cockroach Janata Party revives petition targeting Edu Minister Dharmendra Pradhan What did the Pope say? Calling for “robust legal frameworks, independent oversight, informed users and a political system that does not abdicate its responsibility”, Leo invoked the story of the Tower of Babel. “With the heart of a shepherd and a father, I ask everyone to abandon the construction of yet another Tower of Babel and to join forces in building up the common good,” wrote Pope Leo. He warned that AI risks reducing humans to merely “cogs”. What is the Tower of Babel? In Christian lore, the Tower of Babel represents a civilisation driven by pride, centralised power and human ambition detached from moral responsibility. The tale from Genesis 11:1-9 in the Hebrew Bible tells the story of a world where everyone spoke the same language and understood one another. However, as time passed and the population grew, humanity migrated eastward until people found a vast, fertile plain in the land of Shinar (Babylonia). There, they decided to settle and build a city. They planned to build a tower “that reaches all the way into the heavens!”. This, they said, would help them “make a great name for ourselves, and we will never be scattered or lost across the earth.” Also read | Green card applicants should go home? New US citizenship rule may hit Indians hardest; check how you could be affected As the story goes, they did not use ordinary stone. Instead, they baked mud into hard clay bricks and used thick black tar for mortar, building the tower higher and higher. Their intense ambition did not go unnoticed, and God descended from heaven to see the tower. God realised that the people had been blinded by ambition and pride, and decided to intervene. He confused their speech, making it difficult for them to understand one another. Eventually, unable to communicate, the people scattered across the earth, abandoning the Tower of Babel, which is now known as the symbol of confusion and division.

Why did Pope Leo compare today’s AI race to the biblical Tower of Babel? In his first major message as pope, Leo warned that humanity risks repeating an ancient mistake. So what exactly is the Tower of Babel story? Scroll down to find out.

Pope Leo warns humanity risks repeating ancient mistake: What is the Tower of Babel and what does it have to do with AI?

Christopher Olah, co-founder of Anthropic, has warned that artificial intelligence could replace human labour on a large scale if its development is not carefully managed. Speaking alongside Pope Leo XIV, Olah said the impact of AI on jobs could be significant, and supporting displaced workers would become a major global responsibility. He noted that if large-scale job losses occur, addressing them would be a “moral imperative of historic proportions.”<h2>Risk of large-scale job displacement</h2> Olah stressed that AI development cannot be left only to technology companies. He said firms like Anthropic operate under commercial, geopolitical and internal pressures that may not always align with broader societal interests. According to him, even well-intentioned researchers are influenced by these forces, which makes external oversight important. He called for stronger involvement from governments, civil society and other institutions to ensure that AI systems are developed responsibly.<h2>Global inequality in AI development</h2> He also raised concerns about the possibility of widespread job displacement. As AI systems improve, they may automate many types of work, reducing the need for human labour across sectors. This could create economic imbalance and increase inequality if proper safeguards are not in place. Olah pointed out that preparing for this transition is essential, especially as AI continues to advance rapidly.Another key concern he highlighted is the complex behaviour of AI systems. He said researchers are increasingly observing patterns in AI models that are difficult to fully understand. Some systems show internal decision-making processes and behaviours that resemble human-like responses, making them harder to predict and interpret. This adds to the challenge of ensuring safety and control as AI systems become more powerful.<h2>What this means for the future</h2> Olah also spoke about global inequality in AI development. He noted that most advanced AI systems are being built in a small number of wealthy countries, raising questions about how the benefits of this technology will be shared worldwide. Without proper policies, there is a risk that AI could widen economic gaps between nations rather than reduce them.He concluded by calling for independent voices and critics to play a role in shaping the future of AI. According to him, the questions raised by artificial intelligence go beyond the technology sector and require broader public discussion. His remarks reflect a growing concern within the industry that while AI offers major benefits, it also requires careful management to ensure that its impact on society remains balanced and fair.

Christopher Olah, co-founder of Anthropic, has warned that artificial intelligence could replace human labour on a large scale if its development is not carefully managed. 


Christopher Olah, co-founder of Anthropic, has warned that artificial intelligence could replace human labour on a large scale if its development is not carefully managed. Speaking alongside Pope Leo XIV, Olah said the impact of AI on jobs could be significant, and supporting displaced workers would become a major global responsibility. He noted that if large-scale job losses occur, addressing them would be a “moral imperative of historic proportions.” Risk of large-scale job displacement Olah stressed that AI development cannot be left only to technology companies. He said firms like Anthropic operate under commercial, geopolitical and internal pressures that may not always align with broader societal interests. According to him, even well-intentioned researchers are influenced by these forces, which makes external oversight important. He called for stronger involvement from governments, civil society and other institutions to ensure that AI systems are developed responsibly. Global inequality in AI development He also raised concerns about the possibility of widespread job displacement. As AI systems improve, they may automate many types of work, reducing the need for human labour across sectors. This could create economic imbalance and increase inequality if proper safeguards are not in place. Olah pointed out that preparing for this transition is essential, especially as AI continues to advance rapidly. Another key concern he highlighted is the complex behaviour of AI systems. He said researchers are increasingly observing patterns in AI models that are difficult to fully understand. Some systems show internal decision-making processes and behaviours that resemble human-like responses, making them harder to predict and interpret. This adds to the challenge of ensuring safety and control as AI systems become more powerful. What this means for the future Olah also spoke about global inequality in AI development. He noted that most advanced AI systems are being built in a small number of wealthy countries, raising questions about how the benefits of this technology will be shared worldwide. Without proper policies, there is a risk that AI could widen economic gaps between nations rather than reduce them. He concluded by calling for independent voices and critics to play a role in shaping the future of AI. According to him, the questions raised by artificial intelligence go beyond the technology sector and require broader public discussion. His remarks reflect a growing concern within the industry that while AI offers major benefits, it also requires careful management to ensure that its impact on society remains balanced and fair.

Christopher Olah, co-founder of Anthropic, has warned that artificial intelligence could replace human labour on a large scale if its development is not carefully managed.&nbsp;

AI could replace human labour at large scale, warns Anthropic co-founder Christopher Olah

Pope Leo XIV has raised concerns over the growing use of artificial intelligence, warning that unchecked automation could lead to large-scale job losses and social instability. In his first official encyclical, the Pope focused on the impact of AI on society, urging governments and corporations to act responsibly as the technology continues to expand across industries.&nbsp;<h2>AI could trigger job losses if not managed</h2>Pope Leo said that artificial intelligence has the potential to replace a large number of jobs if it is used without proper safeguards. He warned that mass layoffs driven by automation could create serious economic and social challenges.According to him, replacing workers at scale could:Increase poverty levels Widen economic inequality Lead to social instabilityHe stressed that decisions driven only by profit could worsen these risks, especially if companies prioritise efficiency over human livelihoods.<h2>Human dignity must remain central</h2>The Pope emphasised that technology should not undermine human dignity. He said that economic systems must remain focused on the common good rather than only financial gains. He noted that people are not just units of productivity, but individuals with social and community roles. According to him, losing meaningful work can affect not only income but also identity and well-being. He stated that “the pursuit of greater profits cannot justify choices that sacrifice jobs,” highlighting the need for ethical limits in automation.<h2>AI still has benefits when used responsibly</h2>Despite his concerns, Pope Leo acknowledged that artificial intelligence can bring positive change if used carefully.He said AI can:Reduce dangerous and repetitive work Support sectors like healthcare and education Improve efficiency in many industriesHowever, he stressed that these benefits must not come at the cost of widespread unemployment.<h2>Call for global regulation and policy action</h2>The encyclical placed strong emphasis on the role of governments and institutions in managing AI’s impact. The Pope called for clear policies to ensure that technological progress does not harm workers. He warned that without timely action, many people could become marginalised in a world increasingly shaped by machines and automated systems. Experts note that similar concerns are being raised globally, as policymakers debate how to regulate AI while supporting innovation.<h2>Growing global debate on AI and jobs</h2>The Pope’s remarks come at a time when AI adoption is accelerating across sectors such as technology, finance and manufacturing. Studies suggest that automation could affect millions of jobs in the coming years, although new roles may also emerge.This has led to an ongoing debate about how to balance: Innovation and economic growth Job protection and workforce transition Ethical use of technologyWhat this means for the futurePope Leo’s message highlights a key issue in the AI era: how to ensure that technology benefits society as a whole. While AI is expected to continue growing, the focus is now shifting towards responsible use, fair policies and protection of workers. As governments and companies expand their use of AI, discussions around regulation and ethics are likely to intensify. The Pope’s warning adds to global calls for a balanced approach, where innovation continues but human welfare remains at the centre of decision-making.

Pope Leo XIV has raised concerns over the growing use of artificial intelligence, warning that unchecked automation could lead to large-scale job losses and social instability.


Pope Leo XIV has raised concerns over the growing use of artificial intelligence, warning that unchecked automation could lead to large-scale job losses and social instability. In his first official encyclical, the Pope focused on the impact of AI on society, urging governments and corporations to act responsibly as the technology continues to expand across industries. AI could trigger job losses if not managed Pope Leo said that artificial intelligence has the potential to replace a large number of jobs if it is used without proper safeguards. He warned that mass layoffs driven by automation could create serious economic and social challenges. According to him, replacing workers at scale could: Increase poverty levels Widen economic inequality Lead to social instability He stressed that decisions driven only by profit could worsen these risks, especially if companies prioritise efficiency over human livelihoods. Human dignity must remain central The Pope emphasised that technology should not undermine human dignity. He said that economic systems must remain focused on the common good rather than only financial gains. He noted that people are not just units of productivity, but individuals with social and community roles. According to him, losing meaningful work can affect not only income but also identity and well-being. He stated that “the pursuit of greater profits cannot justify choices that sacrifice jobs,” highlighting the need for ethical limits in automation. AI still has benefits when used responsibly Despite his concerns, Pope Leo acknowledged that artificial intelligence can bring positive change if used carefully. He said AI can: Reduce dangerous and repetitive work Support sectors like healthcare and education Improve efficiency in many industries However, he stressed that these benefits must not come at the cost of widespread unemployment. Call for global regulation and policy action The encyclical placed strong emphasis on the role of governments and institutions in managing AI’s impact. The Pope called for clear policies to ensure that technological progress does not harm workers. He warned that without timely action, many people could become marginalised in a world increasingly shaped by machines and automated systems. Experts note that similar concerns are being raised globally, as policymakers debate how to regulate AI while supporting innovation. Growing global debate on AI and jobs The Pope’s remarks come at a time when AI adoption is accelerating across sectors such as technology, finance and manufacturing. Studies suggest that automation could affect millions of jobs in the coming years, although new roles may also emerge. This has led to an ongoing debate about how to balance: Innovation and economic growth Job protection and workforce transition Ethical use of technology What this means for the future Pope Leo’s message highlights a key issue in the AI era: how to ensure that technology benefits society as a whole. While AI is expected to continue growing, the focus is now shifting towards responsible use, fair policies and protection of workers. As governments and companies expand their use of AI, discussions around regulation and ethics are likely to intensify. The Pope’s warning adds to global calls for a balanced approach, where innovation continues but human welfare remains at the centre of decision-making.

Pope Leo XIV has raised concerns over the growing use of artificial intelligence, warning that unchecked automation could lead to large-scale job losses and social instability.

‘Future of work’: Pope Leo XIV warns of AI-led job losses, calls for responsible use of technology

Sundar Pichai has said that concerns around artificial intelligence and its impact on jobs are valid, but believes the next generation will adapt and create new opportunities as the technology evolves. His remarks come ahead of his upcoming commencement speech at Stanford University, where AI and its impact on careers is expected to be a key topic.&nbsp;<h2>AI fears are understandable, says Pichai</h2>Speaking recently, Pichai acknowledged that many students and professionals are worried about how AI could change the job market. He said these concerns are natural, given the speed and scale at which the technology is developing. According to him, people are not used to handling such rapid change, which makes uncertainty around jobs and economic stability more intense. He noted that conversations about job loss and disruption are already widespread, and they reflect genuine concerns about the future.<h2>Why Pichai remains optimistic about AI</h2>Despite these concerns, Pichai said he does not agree with the most negative predictions about AI replacing large numbers of jobs. Instead, he believes that every generation faces major technological shifts and eventually adapts.He said today’s students will not only experience the impact of AI but will also play a role in shaping how the technology is used. According to him, the next generation will help define the future of AI rather than just react to it.<h2>AI will change jobs, not just remove them</h2>Pichai explained that AI is likely to transform how work is done rather than simply eliminate jobs. He compared its impact to earlier technologies like spreadsheets, which changed how people performed tasks but also increased productivity.AI, he said, could create a new baseline of skills, allowing more people to perform complex tasks that earlier required specialised training. This could lead to new types of roles and opportunities across industries.<h2>Need for responsible approach to AI</h2>At the same time, Pichai stressed that governments, companies and society must take the impact of AI seriously. He said discussions around job displacement and economic change are important and should not be ignored.While there is optimism about AI’s potential, he emphasised that managing its risks and ensuring fair outcomes will be equally important.<h2>What this means for students and workforce</h2>Pichai’s message suggests that while AI will bring disruption, it will also open new paths for innovation and growth. Students entering the workforce today may face a different job landscape, but they will also have tools that can improve productivity and creativity. As AI continues to develop, the focus will remain on balancing innovation with responsibility. Pichai’s remarks reflect a broader view in the tech industry that while change is inevitable, adaptation and new opportunities are likely to follow. The development highlights a key idea shaping the AI debate today: fear and opportunity are both part of the transition, and how society responds will define the outcome.

Sundar Pichai has said that concerns around artificial intelligence and its impact on jobs are valid, but believes the next generation will adapt and create new opportunities as the technology evolves.


Sundar Pichai has said that concerns around artificial intelligence and its impact on jobs are valid, but believes the next generation will adapt and create new opportunities as the technology evolves. His remarks come ahead of his upcoming commencement speech at Stanford University, where AI and its impact on careers is expected to be a key topic. AI fears are understandable, says Pichai Speaking recently, Pichai acknowledged that many students and professionals are worried about how AI could change the job market. He said these concerns are natural, given the speed and scale at which the technology is developing. According to him, people are not used to handling such rapid change, which makes uncertainty around jobs and economic stability more intense. He noted that conversations about job loss and disruption are already widespread, and they reflect genuine concerns about the future. Why Pichai remains optimistic about AI Despite these concerns, Pichai said he does not agree with the most negative predictions about AI replacing large numbers of jobs. Instead, he believes that every generation faces major technological shifts and eventually adapts. He said today’s students will not only experience the impact of AI but will also play a role in shaping how the technology is used. According to him, the next generation will help define the future of AI rather than just react to it. AI will change jobs, not just remove them Pichai explained that AI is likely to transform how work is done rather than simply eliminate jobs. He compared its impact to earlier technologies like spreadsheets, which changed how people performed tasks but also increased productivity. AI, he said, could create a new baseline of skills, allowing more people to perform complex tasks that earlier required specialised training. This could lead to new types of roles and opportunities across industries. Need for responsible approach to AI At the same time, Pichai stressed that governments, companies and society must take the impact of AI seriously. He said discussions around job displacement and economic change are important and should not be ignored. While there is optimism about AI’s potential, he emphasised that managing its risks and ensuring fair outcomes will be equally important. What this means for students and workforce Pichai’s message suggests that while AI will bring disruption, it will also open new paths for innovation and growth. Students entering the workforce today may face a different job landscape, but they will also have tools that can improve productivity and creativity. As AI continues to develop, the focus will remain on balancing innovation with responsibility. Pichai’s remarks reflect a broader view in the tech industry that while change is inevitable, adaptation and new opportunities are likely to follow. The development highlights a key idea shaping the AI debate today: fear and opportunity are both part of the transition, and how society responds will define the outcome.

Sundar Pichai has said that concerns around artificial intelligence and its impact on jobs are valid, but believes the next generation will adapt and create new opportunities as the technology evolves.

‘AI and jobs’: What Sundar Pichai told students about the future

In yet another major step in the expansion of artificial intelligence into everyday industries, US-based startup Merlin Labs this week has shown that an AI-powered flight system is capable of handling several piloting tasks during an experimental aircraft test. The demonstration comes as the global aviation industry grapples with pilot shortages, rising pressure on air traffic systems and growing interest in AI-assisted air travel technologies. During the demonstration flight, test pilot Matt Diamond did not manually control the aircraft as the AI system executed commands such as changing course after verbal authorisation. The aircraft itself was officially marked “experimental.” However, Merlin executives acknowledged that completely pilotless passenger aircraft are not imminent. The company said the current focus is on building trust in AI systems by using them alongside human pilots rather than removing pilots altogether.&nbsp;Also Read: <a href="https://www.wionews.com/technology/-ai-layoffs-trend-what-cloudflare-s-move-signals-for-industry-1779699152938">‘AI layoffs trend’: What Cloudflare’s move signals for industry</a><h3>Inside Merlin Labs’ AI aviation technology</h3>The Merlin Pilot system uses natural language processing to interpret air traffic control communications and automate piloting tasks. The test aimed to showcase how artificial intelligence could support pilots in future air travel operations and potentially pave the way for more autonomous aircraft systems.Despite the advanced automation, Merlin Labs stressed that the technology is designed to assist human pilots rather than replace them entirely.&nbsp;Also Read: <a href="https://www.wionews.com/technology/-future-of-work-how-openai-s-self-improving-ai-model-is-preparing-to-replace-research-jobs-1779698299269">‘Future of work’: How OpenAI’s self-improving AI model is preparing to replace research jobs</a><h3>Trump administration backs AI modernisation</h3>US Transportation Secretary Sean Duffy has supported the use of artificial intelligence tools as part of efforts to modernize America’s aging air traffic control infrastructure. Duffy emphasized that AI would not replace human air traffic controllers but could help reduce workload and improve efficiency within the system. Capt. Jason Ambrosi, president of the Air Line Pilots Association representing over 79,000 pilots in the US and Canada, said technological advancements may improve aviation safety but should never replace trained pilots in the cockpit. The pilots’ union maintained that the presence of two well-trained and well-rested pilots remains the most important safety feature on commercial flights.&nbsp;

In yet another AI-related development, Merlin Labs successfully demonstrated an AI-powered flight system aboard a Cessna Caravan, showcasing how artificial intelligence can assist pilots and automate key aviation tasks amid growing pilot shortages and pressure on air traffic systems.

In yet another major step in the expansion of artificial intelligence into everyday industries, US-based startup Merlin Labs this week has shown that an AI-powered flight system is capable of handling several piloting tasks during an experimental aircraft test. The demonstration comes as the global aviation industry grapples with pilot shortages, rising pressure on air traffic systems and growing interest in AI-assisted air travel technologies. During the demonstration flight, test pilot Matt Diamond did not manually control the aircraft as the AI system executed commands such as changing course after verbal authorisation. The aircraft itself was officially marked “experimental.” However, Merlin executives acknowledged that completely pilotless passenger aircraft are not imminent. The company said the current focus is on building trust in AI systems by using them alongside human pilots rather than removing pilots altogether. Also Read: ‘AI layoffs trend’: What Cloudflare’s move signals for industry Inside Merlin Labs’ AI aviation technology The Merlin Pilot system uses natural language processing to interpret air traffic control communications and automate piloting tasks. The test aimed to showcase how artificial intelligence could support pilots in future air travel operations and potentially pave the way for more autonomous aircraft systems. Despite the advanced automation, Merlin Labs stressed that the technology is designed to assist human pilots rather than replace them entirely. Also Read: ‘Future of work’: How OpenAI’s self-improving AI model is preparing to replace research jobs Trump administration backs AI modernisation US Transportation Secretary Sean Duffy has supported the use of artificial intelligence tools as part of efforts to modernize America’s aging air traffic control infrastructure. Duffy emphasized that AI would not replace human air traffic controllers but could help reduce workload and improve efficiency within the system. Capt. Jason Ambrosi, president of the Air Line Pilots Association representing over 79,000 pilots in the US and Canada, said technological advancements may improve aviation safety but should never replace trained pilots in the cockpit. The pilots’ union maintained that the presence of two well-trained and well-rested pilots remains the most important safety feature on commercial flights.

In yet another AI-related development, Merlin Labs successfully demonstrated an AI-powered flight system aboard a Cessna Caravan, showcasing how artificial intelligence can assist pilots and automate key aviation tasks amid growing pilot shortages and pressure on air traffic systems.

Can AI replace pilots? Experimental test sparks debate over future of pilots

Cloudflare CEO Matthew Prince has said that artificial intelligence could replace a large category of jobs, particularly those linked to middle management and internal performance tracking, as companies rethink their workforce structure. His comments come as Cloudflare announced it is cutting around 20 per cent of its workforce, or about 1,100 employees, despite reporting strong revenue growth and an expanding customer base.&nbsp;<h2>Why Cloudflare is reducing jobs</h2>According to Prince, most of the roles affected by layoffs were what he described as “measurer” roles. These include positions in:Middle management Finance and accounting Legal and compliance Internal auditing Revenue trackingHe said these roles primarily focus on measuring and evaluating organisational performance, tasks that AI systems can now handle more efficiently.<h2>How AI is replacing ‘measurer’ roles</h2>Prince argued that modern AI systems are capable of analysing company data with greater speed and accuracy than humans. He described AI as:Constantly available Independent in decision-making More precise in analysing performanceThis allows organisations to rely less on human oversight for routine measurement tasks, leading to reduced demand for certain roles.<h2>Which jobs may remain safer for now</h2>While some roles are being reduced, Prince suggested that “builders” and “sellers” are likely to remain in demand.These include:Engineers and developers who create products Sales teams who generate revenue Cloudflare has indicated that it will continue hiring in these areas, reflecting a shift towards roles that directly contribute to growth.<h2>AI layoffs becoming a wider trend</h2>Cloudflare’s move is part of a broader trend across the technology industry. Several companies have linked job cuts to increased use of AI. Reports indicate that more than 49,000 job cuts in the United States in 2026 have been connected to AI-driven changes, according to data from Challenger, Gray &amp; Christmas. Other companies, including Meta and Block, have also reduced staff while investing heavily in AI technologies.<h2>Debate over ‘AI-driven layoffs’</h2>Not all experts agree that AI is the only reason behind these layoffs. Some analysts describe the trend as “AI washing”, where companies attribute job cuts to AI while also managing costs or adjusting after over-hiring during the pandemic. For example, venture capitalist Marc Andreessen has argued that many firms are still correcting workforce levels following rapid expansion in previous years.<h2>What research says about AI and jobs</h2>Studies by Anthropic suggest that AI tools are increasingly capable of handling tasks in areas such as finance, legal work and management. However, the research also notes that no role is completely immune to automation, including engineering and sales over the long term.<h2>What this means for the future of work</h2>The shift at Cloudflare highlights how AI is beginning to reshape organisational structures. Companies are moving away from roles focused on oversight and measurement towards roles that build products and drive revenue. While AI may reduce certain job categories, it is also changing the skills required in the workforce. As AI adoption increases, more companies are expected to review their workforce strategies. The balance between automation and human roles will remain a key issue for businesses and policymakers. The development shows that AI is not only changing technology, but also how companies are structured and how work is organised.

Cloudflare CEO Matthew Prince has said that artificial intelligence could replace a large category of jobs, particularly those linked to middle management and internal performance tracking, as companies rethink their workforce structure.


Cloudflare CEO Matthew Prince has said that artificial intelligence could replace a large category of jobs, particularly those linked to middle management and internal performance tracking, as companies rethink their workforce structure. His comments come as Cloudflare announced it is cutting around 20 per cent of its workforce, or about 1,100 employees, despite reporting strong revenue growth and an expanding customer base. Why Cloudflare is reducing jobs According to Prince, most of the roles affected by layoffs were what he described as “measurer” roles. These include positions in: Middle management Finance and accounting Legal and compliance Internal auditing Revenue tracking He said these roles primarily focus on measuring and evaluating organisational performance, tasks that AI systems can now handle more efficiently. How AI is replacing ‘measurer’ roles Prince argued that modern AI systems are capable of analysing company data with greater speed and accuracy than humans. He described AI as: Constantly available Independent in decision-making More precise in analysing performance This allows organisations to rely less on human oversight for routine measurement tasks, leading to reduced demand for certain roles. Which jobs may remain safer for now While some roles are being reduced, Prince suggested that “builders” and “sellers” are likely to remain in demand. These include: Engineers and developers who create products Sales teams who generate revenue Cloudflare has indicated that it will continue hiring in these areas, reflecting a shift towards roles that directly contribute to growth. AI layoffs becoming a wider trend Cloudflare’s move is part of a broader trend across the technology industry. Several companies have linked job cuts to increased use of AI. Reports indicate that more than 49,000 job cuts in the United States in 2026 have been connected to AI-driven changes, according to data from Challenger, Gray & Christmas. Other companies, including Meta and Block, have also reduced staff while investing heavily in AI technologies. Debate over ‘AI-driven layoffs’ Not all experts agree that AI is the only reason behind these layoffs. Some analysts describe the trend as “AI washing”, where companies attribute job cuts to AI while also managing costs or adjusting after over-hiring during the pandemic. For example, venture capitalist Marc Andreessen has argued that many firms are still correcting workforce levels following rapid expansion in previous years. What research says about AI and jobs Studies by Anthropic suggest that AI tools are increasingly capable of handling tasks in areas such as finance, legal work and management. However, the research also notes that no role is completely immune to automation, including engineering and sales over the long term. What this means for the future of work The shift at Cloudflare highlights how AI is beginning to reshape organisational structures. Companies are moving away from roles focused on oversight and measurement towards roles that build products and drive revenue. While AI may reduce certain job categories, it is also changing the skills required in the workforce. As AI adoption increases, more companies are expected to review their workforce strategies. The balance between automation and human roles will remain a key issue for businesses and policymakers. The development shows that AI is not only changing technology, but also how companies are structured and how work is organised.

Cloudflare CEO Matthew Prince has said that artificial intelligence could replace a large category of jobs, particularly those linked to middle management and internal performance tracking, as companies rethink their workforce structure.

‘AI layoffs trend’: What Cloudflare’s move signals for industry

OpenAI is preparing for a future where artificial intelligence systems could improve themselves without direct human involvement, according to recent reports. The company is now hiring safety researchers to study the risks linked to this development, known as recursive self-improvement, where AI systems train better versions of themselves. This shift comes as AI capabilities continue to grow rapidly, with companies exploring how far automation can go in research and software development.<h2>What is self-improving AI and why it matters</h2>Recursive self-improvement refers to AI systems that can upgrade their own performance without relying heavily on human input. In simple terms, an AI system could build a smarter version of itself, which could then repeat the process. This idea, once limited to theory, is now being actively explored as AI tools improve. Reports suggest that the amount of work AI systems can handle is increasing quickly, with some studies indicating that their capabilities are doubling roughly every seven months. If this trend continues, AI systems could eventually handle complex tasks that currently require human researchers and engineers.<h2>Why OpenAI is hiring safety researchers</h2>OpenAI’s hiring move shows that the company is not only building advanced systems but also preparing for the risks they may bring. The role focuses on studying problems that may arise in the future, even if they do not exist today.The researchers will work on areas such as: Preventing data poisoning attacks Understanding how AI systems make decisions Studying risks linked to highly autonomous systems Tracking how AI tools are replacing human technical work The company has described this work as urgent, with potential impact on both industry and society.<h2>AI automation and impact on jobs</h2>One of the key points in the job listing is the need to track the “automation of technical staff”. This includes measuring how AI tools, such as coding assistants, are replacing or supporting human engineers.Industry research suggests that AI could soon handle a large share of software tasks that currently take humans days or weeks to complete. This raises questions about the future of jobs in research, engineering and development. At the same time, companies continue to hire experts to manage and guide these systems, showing a shift in the nature of work rather than a complete replacement.<h2>OpenAI’s long-term AI vision</h2>OpenAI CEO Sam Altman has previously outlined the company’s goals, including building an “automated AI research intern” in the near term and a fully automated AI researcher by 2028. While he has acknowledged that these goals may not be achieved, the company continues to invest in this direction, reflecting strong belief in the long-term potential of AI.<h2>Global race in self-improving AI</h2>Other companies are also exploring similar ideas. Anthropic has published research on using AI systems to monitor stronger AI models, while experts estimate there is a 60 per cent chance that AI research could happen without direct human involvement by the end of this decade. This shows that the race towards advanced AI is not limited to one company but is a broader industry trend. The development highlights a key shift in artificial intelligence: moving from tools that assist humans to systems that may operate independently. While this could improve efficiency and innovation, it also raises concerns about control, safety and employment. For now, companies like OpenAI are trying to balance progress with preparation, ensuring that as AI becomes more capable, its risks are understood and managed.

OpenAI is preparing for a future where artificial intelligence systems could improve themselves without direct human involvement, according to recent reports. 


OpenAI is preparing for a future where artificial intelligence systems could improve themselves without direct human involvement, according to recent reports. The company is now hiring safety researchers to study the risks linked to this development, known as recursive self-improvement, where AI systems train better versions of themselves. This shift comes as AI capabilities continue to grow rapidly, with companies exploring how far automation can go in research and software development. What is self-improving AI and why it matters Recursive self-improvement refers to AI systems that can upgrade their own performance without relying heavily on human input. In simple terms, an AI system could build a smarter version of itself, which could then repeat the process. This idea, once limited to theory, is now being actively explored as AI tools improve. Reports suggest that the amount of work AI systems can handle is increasing quickly, with some studies indicating that their capabilities are doubling roughly every seven months. If this trend continues, AI systems could eventually handle complex tasks that currently require human researchers and engineers. Why OpenAI is hiring safety researchers OpenAI’s hiring move shows that the company is not only building advanced systems but also preparing for the risks they may bring. The role focuses on studying problems that may arise in the future, even if they do not exist today. The researchers will work on areas such as: Preventing data poisoning attacks Understanding how AI systems make decisions Studying risks linked to highly autonomous systems Tracking how AI tools are replacing human technical work The company has described this work as urgent, with potential impact on both industry and society. AI automation and impact on jobs One of the key points in the job listing is the need to track the “automation of technical staff”. This includes measuring how AI tools, such as coding assistants, are replacing or supporting human engineers. Industry research suggests that AI could soon handle a large share of software tasks that currently take humans days or weeks to complete. This raises questions about the future of jobs in research, engineering and development. At the same time, companies continue to hire experts to manage and guide these systems, showing a shift in the nature of work rather than a complete replacement. OpenAI’s long-term AI vision OpenAI CEO Sam Altman has previously outlined the company’s goals, including building an “automated AI research intern” in the near term and a fully automated AI researcher by 2028. While he has acknowledged that these goals may not be achieved, the company continues to invest in this direction, reflecting strong belief in the long-term potential of AI. Global race in self-improving AI Other companies are also exploring similar ideas. Anthropic has published research on using AI systems to monitor stronger AI models, while experts estimate there is a 60 per cent chance that AI research could happen without direct human involvement by the end of this decade. This shows that the race towards advanced AI is not limited to one company but is a broader industry trend. The development highlights a key shift in artificial intelligence: moving from tools that assist humans to systems that may operate independently. While this could improve efficiency and innovation, it also raises concerns about control, safety and employment. For now, companies like OpenAI are trying to balance progress with preparation, ensuring that as AI becomes more capable, its risks are understood and managed.

OpenAI is preparing for a future where artificial intelligence systems could improve themselves without direct human involvement, according to recent reports.&nbsp;

‘Future of work’: How OpenAI’s self-improving AI model is preparing to replace research jobs

OpenAI is offering a salary of up to $445,000 (around Rs 3.7 crore) for a specialised safety researcher role, highlighting growing concerns around advanced artificial intelligence systems that could improve themselves. According to a recent job listing, the company is hiring for its “Preparedness” team to study risks linked to recursive self-improvement, a concept where AI systems can train and improve newer versions of themselves.<h2>What the role involves</h2> The job focuses on preparing for future risks rather than solving current problems. OpenAI has said the role requires people who can think about challenges that may not yet exist.The researcher is expected to:Study how AI systems could improve themselves Identify risks such as data poisoning Build tools to understand AI decision-making Track how AI tools replace human technical workThe company has described the role as needing individuals who are “tasteful and strategic”, meaning they must make careful and well-judged decisions in uncertain situations.<h2>Why AI companies are focusing on self-improving systems</h2>The hiring comes at a time when AI systems are improving rapidly. Recent research suggests that the complexity of tasks AI models can handle is doubling roughly every seven months. This means AI tools are increasingly able to perform tasks that would take human developers days or weeks. Companies like OpenAI and Anthropic are working towards systems that can assist in research or even automate parts of it. OpenAI CEO Sam Altman has earlier said the company aims to develop an “automated AI researcher” in the coming years, with a long-term goal of building systems that can independently conduct research.<h2>Concerns around AI risks and safety</h2>The idea of self-improving AI has raised concerns among researchers. Experts warn that such systems could become difficult to control if they improve faster than human oversight. According to industry research, there is a possibility that AI could eventually handle a large share of software development tasks, raising questions about control, safety and accountability.OpenAI’s Preparedness team is working on preventing severe risks, including:Cybersecurity threats Misuse of AI systems Biological and chemical risks Autonomous AI behaviour<h2>What competitors are doing</h2>Other AI companies are also exploring similar areas. Anthropic has published research on using AI systems to monitor stronger AI models, while Google DeepMind has highlighted the rapid pace of AI development. Experts like Demis Hassabis have described current progress as an early stage of a possible “AI singularity”, where systems may begin improving themselves beyond human capability.<h2>Why salaries are rising in AI sector</h2> The high salary for this role reflects strong competition for talent in the AI industry. Companies are investing heavily in researchers who can handle complex technical and ethical challenges. As AI systems become more powerful, demand for safety experts is increasing alongside demand for engineers and developers.What this means for the futureOpenAI’s hiring shows that the focus in AI is shifting from building models to managing their impact. While the technology continues to advance, companies are also preparing for long-term risks. The development highlights a key trend in the industry: as AI becomes more capable, ensuring safety and control is becoming as important as innovation itself

OpenAI is offering a salary of up to $445,000 (around Rs 3.7 crore) for a specialised safety researcher role, highlighting growing concerns around advanced artificial intelligence systems that could improve themselves.

OpenAI is offering a salary of up to $445,000 (around Rs 3.7 crore) for a specialised safety researcher role, highlighting growing concerns around advanced artificial intelligence systems that could improve themselves. According to a recent job listing, the company is hiring for its “Preparedness” team to study risks linked to recursive self-improvement, a concept where AI systems can train and improve newer versions of themselves. What the role involves The job focuses on preparing for future risks rather than solving current problems. OpenAI has said the role requires people who can think about challenges that may not yet exist. The researcher is expected to: Study how AI systems could improve themselves Identify risks such as data poisoning Build tools to understand AI decision-making Track how AI tools replace human technical work The company has described the role as needing individuals who are “tasteful and strategic”, meaning they must make careful and well-judged decisions in uncertain situations. Why AI companies are focusing on self-improving systems The hiring comes at a time when AI systems are improving rapidly. Recent research suggests that the complexity of tasks AI models can handle is doubling roughly every seven months. This means AI tools are increasingly able to perform tasks that would take human developers days or weeks. Companies like OpenAI and Anthropic are working towards systems that can assist in research or even automate parts of it. OpenAI CEO Sam Altman has earlier said the company aims to develop an “automated AI researcher” in the coming years, with a long-term goal of building systems that can independently conduct research. Concerns around AI risks and safety The idea of self-improving AI has raised concerns among researchers. Experts warn that such systems could become difficult to control if they improve faster than human oversight. According to industry research, there is a possibility that AI could eventually handle a large share of software development tasks, raising questions about control, safety and accountability. OpenAI’s Preparedness team is working on preventing severe risks, including: Cybersecurity threats Misuse of AI systems Biological and chemical risks Autonomous AI behaviour What competitors are doing Other AI companies are also exploring similar areas. Anthropic has published research on using AI systems to monitor stronger AI models, while Google DeepMind has highlighted the rapid pace of AI development. Experts like Demis Hassabis have described current progress as an early stage of a possible “AI singularity”, where systems may begin improving themselves beyond human capability. Why salaries are rising in AI sector The high salary for this role reflects strong competition for talent in the AI industry. Companies are investing heavily in researchers who can handle complex technical and ethical challenges. As AI systems become more powerful, demand for safety experts is increasing alongside demand for engineers and developers. What this means for the future OpenAI’s hiring shows that the focus in AI is shifting from building models to managing their impact. While the technology continues to advance, companies are also preparing for long-term risks. The development highlights a key trend in the industry: as AI becomes more capable, ensuring safety and control is becoming as important as innovation itself

OpenAI is offering a salary of up to $445,000 (around Rs 3.7 crore) for a specialised safety researcher role, highlighting growing concerns around advanced artificial intelligence systems that could improve themselves.

OpenAI offers up to $445,000 for AI safety role as focus shifts to self-improving systems

Ferrari has partnered with IBM to use artificial intelligence in improving how fans interact with Formula One, as teams increasingly rely on data and technology to build stronger global audiences. The collaboration focuses on transforming Ferrari’s official fan app into a more interactive platform, using AI to turn race data into personalised content and experiences.<h2>How AI is changing the fan experience</h2>Formula One generates large amounts of data during races, with teams processing millions of data points per second. Ferrari is now using AI tools from IBM to convert this data into simple and engaging content for fans.The updated app includes:AI-generated race summariesBehind-the-scenes stories about drivers and teams Interactive features like predictions and games An AI assistant that answers fan questions The goal is to make technical race data easier to understand and more engaging for users.Focus on personalised storytelling Ferrari has created a new role, “head of fan development”, to focus on improving fan engagement. The strategy is centred on making each fan feel personally connected to the team.AI is used to analyse user behaviour within the app, including:What content users read How long they engage What type of stories they preferThis helps Ferrari deliver content tailored to individual preferences, rather than a one-size-fits-all experience.<h2>Strong growth in fan engagement</h2>Since the partnership with IBM, Ferrari has reported a 62 per cent increase in engagement during race weekends, according to company data. The app has also expanded its features, including language support such as Italian, which was previously missing despite Ferrari’s strong domestic fan base. The company aims to keep fans engaged throughout the year, not just during race events.<h2>Why tech companies are entering Formula One</h2>Formula One has become increasingly attractive for technology firms. Companies like AWS, Oracle and others are already working with teams to provide data analytics and AI tools. The sport’s global popularity has grown significantly, especially after shows like Drive to Survive introduced F1 to new audiences. According to F1 data, around 75 per cent of new fans are women, many from younger age groups, showing a shift in the sport’s audience profile.<h2>Standalone app strategy in focus</h2>Ferrari is among a few teams, including McLaren and Williams, that are focusing on standalone apps instead of relying only on social media or official F1 platforms.This approach allows teams to: Control their content directly Build long-term relationships with fans Use data to improve engagement strategiesThe use of AI plays a key role in making these apps more dynamic and personalised.<h2>What this means for sports and AI</h2>The Ferrari-IBM partnership highlights how artificial intelligence is being used beyond traditional business applications and into sports and entertainment. By combining data with storytelling, teams can create more engaging experiences and strengthen fan loyalty. Ferrari plans to further expand its use of AI to create more personalised and immersive fan experiences over the next few years. As technology continues to evolve, the use of AI in sports is expected to grow, changing how fans interact with teams and events across the world.

Ferrari has partnered with IBM to use artificial intelligence in improving how fans interact with Formula One, as teams increasingly rely on data and technology to build stronger global audiences.

Ferrari has partnered with IBM to use artificial intelligence in improving how fans interact with Formula One, as teams increasingly rely on data and technology to build stronger global audiences. The collaboration focuses on transforming Ferrari’s official fan app into a more interactive platform, using AI to turn race data into personalised content and experiences. How AI is changing the fan experience Formula One generates large amounts of data during races, with teams processing millions of data points per second. Ferrari is now using AI tools from IBM to convert this data into simple and engaging content for fans. The updated app includes: AI-generated race summaries Behind-the-scenes stories about drivers and teams Interactive features like predictions and games An AI assistant that answers fan questions The goal is to make technical race data easier to understand and more engaging for users. Focus on personalised storytelling Ferrari has created a new role, “head of fan development”, to focus on improving fan engagement. The strategy is centred on making each fan feel personally connected to the team. AI is used to analyse user behaviour within the app, including: What content users read How long they engage What type of stories they prefer This helps Ferrari deliver content tailored to individual preferences, rather than a one-size-fits-all experience. Strong growth in fan engagement Since the partnership with IBM, Ferrari has reported a 62 per cent increase in engagement during race weekends, according to company data. The app has also expanded its features, including language support such as Italian, which was previously missing despite Ferrari’s strong domestic fan base. The company aims to keep fans engaged throughout the year, not just during race events. Why tech companies are entering Formula One Formula One has become increasingly attractive for technology firms. Companies like AWS, Oracle and others are already working with teams to provide data analytics and AI tools. The sport’s global popularity has grown significantly, especially after shows like Drive to Survive introduced F1 to new audiences. According to F1 data, around 75 per cent of new fans are women, many from younger age groups, showing a shift in the sport’s audience profile. Standalone app strategy in focus Ferrari is among a few teams, including McLaren and Williams, that are focusing on standalone apps instead of relying only on social media or official F1 platforms. This approach allows teams to: Control their content directly Build long-term relationships with fans Use data to improve engagement strategies The use of AI plays a key role in making these apps more dynamic and personalised. What this means for sports and AI The Ferrari-IBM partnership highlights how artificial intelligence is being used beyond traditional business applications and into sports and entertainment. By combining data with storytelling, teams can create more engaging experiences and strengthen fan loyalty. Ferrari plans to further expand its use of AI to create more personalised and immersive fan experiences over the next few years. As technology continues to evolve, the use of AI in sports is expected to grow, changing how fans interact with teams and events across the world.

Ferrari has partnered with IBM to use artificial intelligence in improving how fans interact with Formula One, as teams increasingly rely on data and technology to build stronger global audiences.

Ferrari partners with IBM to use AI for deeper fan engagement in Formula One

Elon Musk has long promoted a future powered by solar energy, especially through Tesla. However, recent developments linked to his companies suggest a shift in focus as artificial intelligence increases demand for large-scale power. According to details in a recent filing, Musk’s AI operations are relying more on traditional energy sources such as natural gas to run high-performance data centres, highlighting a gap between long-term clean energy goals and present-day infrastructure needs.<h2>AI growth is driving massive energy demand</h2>The rise of artificial intelligence has significantly increased the need for electricity. Reports indicate that future AI systems could require terawatt-scale computing power, far exceeding the current global data centre consumption of around 40 gigawatts. This rapid growth has forced companies to prioritise stable and continuous power supply, which is not always achievable with solar energy alone, especially due to its dependence on sunlight and weather conditions.<h2>Shift towards space-based solar ideas</h2> Instead of relying only on solar power on Earth, Musk’s companies are exploring the idea of generating energy in space. Space-based solar systems can operate continuously without interruption, and estimates suggest they could produce over five times more energy than traditional solar panels. However, this approach faces practical challenges, including high launch costs, technical limitations, and the complexity of maintaining systems in orbit.<h2>Limited use of Tesla solar in AI operations</h2>Despite Tesla’s focus on solar technology, Musk’s AI ventures have not significantly adopted solar panels for powering data centres. Instead, investments have gone into battery storage systems and other energy solutions to manage peak loads. This indicates that while solar remains part of the broader vision, it is not yet the primary solution for current AI infrastructure demands.&nbsp;<h2>Balancing long-term vision with short-term reality</h2>Experts believe this shift reflects a balance between long-term sustainability goals and immediate operational needs. While Musk continues to support a transition away from fossil fuels, the current priority is ensuring reliable power for rapidly growing AI systems. This has led to temporary reliance on conventional energy sources while alternative solutions are explored.What this means for the future. The development highlights a wider trend across the tech industry, where the growth of AI is reshaping global energy strategies. Companies are now looking at a mix of renewable energy, traditional power sources and emerging technologies to meet demand. While solar power remains important, the transition to a fully clean energy system may take longer as AI continues to expand at a fast pace.&nbsp;

Elon Musk has long promoted a future powered by solar energy, especially through Tesla. However, recent developments linked to his companies suggest a shift in focus as artificial intelligence increases demand for large-scale power. 

Elon Musk has long promoted a future powered by solar energy, especially through Tesla. However, recent developments linked to his companies suggest a shift in focus as artificial intelligence increases demand for large-scale power. According to details in a recent filing, Musk’s AI operations are relying more on traditional energy sources such as natural gas to run high-performance data centres, highlighting a gap between long-term clean energy goals and present-day infrastructure needs. AI growth is driving massive energy demand The rise of artificial intelligence has significantly increased the need for electricity. Reports indicate that future AI systems could require terawatt-scale computing power, far exceeding the current global data centre consumption of around 40 gigawatts. This rapid growth has forced companies to prioritise stable and continuous power supply, which is not always achievable with solar energy alone, especially due to its dependence on sunlight and weather conditions. Shift towards space-based solar ideas Instead of relying only on solar power on Earth, Musk’s companies are exploring the idea of generating energy in space. Space-based solar systems can operate continuously without interruption, and estimates suggest they could produce over five times more energy than traditional solar panels. However, this approach faces practical challenges, including high launch costs, technical limitations, and the complexity of maintaining systems in orbit. Limited use of Tesla solar in AI operations Despite Tesla’s focus on solar technology, Musk’s AI ventures have not significantly adopted solar panels for powering data centres. Instead, investments have gone into battery storage systems and other energy solutions to manage peak loads. This indicates that while solar remains part of the broader vision, it is not yet the primary solution for current AI infrastructure demands. Balancing long-term vision with short-term reality Experts believe this shift reflects a balance between long-term sustainability goals and immediate operational needs. While Musk continues to support a transition away from fossil fuels, the current priority is ensuring reliable power for rapidly growing AI systems. This has led to temporary reliance on conventional energy sources while alternative solutions are explored. What this means for the future. The development highlights a wider trend across the tech industry, where the growth of AI is reshaping global energy strategies. Companies are now looking at a mix of renewable energy, traditional power sources and emerging technologies to meet demand. While solar power remains important, the transition to a fully clean energy system may take longer as AI continues to expand at a fast pace.

Elon Musk has long promoted a future powered by solar energy, especially through Tesla. However, recent developments linked to his companies suggest a shift in focus as artificial intelligence increases demand for large-scale power.&nbsp;

Has Elon Musk shifted away from solar power? What SpaceX filing reveals

Jeff Bezos has addressed growing concerns around a possible artificial intelligence bubble, saying that even if such a situation occurs, it should not be a cause for worry. Speaking about the rapid growth in AI investments, Bezos suggested that periods of hype and over-investment are often part of how new technologies develop and mature.<h2>What Bezos said about an AI bubble</h2>Bezos acknowledged that some experts believe the current surge in AI spending could lead to a bubble, similar to past technology cycles. However, he argued that even if investment exceeds short-term returns, it still helps build long-term infrastructure and innovation.According to him, such phases often result in:Better technology development Stronger infrastructure Wider adoption of new tools This means that even if a correction happens, the overall progress of AI will continue.<h2>Why AI investment is rising rapidly</h2>The artificial intelligence sector has seen significant growth in recent years. Companies are investing billions of dollars into:Data centres and computing power AI models and research Software and enterprise toolsIndustry reports show that global AI spending is expected to cross hundreds of billions of dollars in the coming years, reflecting strong demand from businesses and governments. This rapid growth has led to comparisons with earlier technology booms, including the dot-com era.<h2>Lessons from past tech bubbles</h2>Bezos pointed out that past bubbles, such as the internet boom in the late 1990s, eventually led to lasting innovation despite short-term market corrections. While many companies did not survive those periods, the underlying technology continued to grow and shape the modern economy.<h2>Experts say a similar pattern could occur with AI:</h2>Some companies may struggle Investments may slow down But core technology will continue to improve&nbsp;<h2>Why experts remain divided</h2> There is ongoing debate among analysts about whether AI is currently in a bubble phase.Some argue that:Valuations of AI companies are rising quickly Spending on infrastructure may be ahead of demand Others believe that:AI adoption is still in early stages Long-term use cases will justify current investments Bezos’ comments align with the view that long-term benefits outweigh short-term risks.<h2>What this means for businesses and investors</h2> For businesses, the focus remains on adopting AI tools to improve efficiency and productivity. For investors, the discussion highlights the importance of understanding both risks and opportunities in emerging technologies. Even if markets fluctuate, companies that build strong foundations in AI may benefit over time. The future of AI investment will depend on how quickly real-world applications grow and generate returns. While concerns about a bubble may continue, industry leaders like Bezos suggest that the long-term impact of AI is likely to remain strong. The debate reflects a broader question facing the tech industry: how to balance rapid innovation with sustainable growth

Jeff Bezos has addressed growing concerns around a possible artificial intelligence bubble, saying that even if such a situation occurs, it should not be a cause for worry. 

Jeff Bezos has addressed growing concerns around a possible artificial intelligence bubble, saying that even if such a situation occurs, it should not be a cause for worry. Speaking about the rapid growth in AI investments, Bezos suggested that periods of hype and over-investment are often part of how new technologies develop and mature. What Bezos said about an AI bubble Bezos acknowledged that some experts believe the current surge in AI spending could lead to a bubble, similar to past technology cycles. However, he argued that even if investment exceeds short-term returns, it still helps build long-term infrastructure and innovation. According to him, such phases often result in: Better technology development Stronger infrastructure Wider adoption of new tools This means that even if a correction happens, the overall progress of AI will continue. Why AI investment is rising rapidly The artificial intelligence sector has seen significant growth in recent years. Companies are investing billions of dollars into: Data centres and computing power AI models and research Software and enterprise tools Industry reports show that global AI spending is expected to cross hundreds of billions of dollars in the coming years, reflecting strong demand from businesses and governments. This rapid growth has led to comparisons with earlier technology booms, including the dot-com era. Lessons from past tech bubbles Bezos pointed out that past bubbles, such as the internet boom in the late 1990s, eventually led to lasting innovation despite short-term market corrections. While many companies did not survive those periods, the underlying technology continued to grow and shape the modern economy. Experts say a similar pattern could occur with AI: Some companies may struggle Investments may slow down But core technology will continue to improve Why experts remain divided There is ongoing debate among analysts about whether AI is currently in a bubble phase. Some argue that: Valuations of AI companies are rising quickly Spending on infrastructure may be ahead of demand Others believe that: AI adoption is still in early stages Long-term use cases will justify current investments Bezos’ comments align with the view that long-term benefits outweigh short-term risks. What this means for businesses and investors For businesses, the focus remains on adopting AI tools to improve efficiency and productivity. For investors, the discussion highlights the importance of understanding both risks and opportunities in emerging technologies. Even if markets fluctuate, companies that build strong foundations in AI may benefit over time. The future of AI investment will depend on how quickly real-world applications grow and generate returns. While concerns about a bubble may continue, industry leaders like Bezos suggest that the long-term impact of AI is likely to remain strong. The debate reflects a broader question facing the tech industry: how to balance rapid innovation with sustainable growth

Jeff Bezos has addressed growing concerns around a possible artificial intelligence bubble, saying that even if such a situation occurs, it should not be a cause for worry.&nbsp;

AI boom or bubble? Jeff Bezos offers a different perspective

The White House has officially approved a $9 billion funding initiative aimed at helping the US intelligence agencies to rapidly adopt and integrate advanced artificial intelligence capabilities. The request was made to acquire cutting-edge computer chips that American spy agencies needed to boost model capabilities. The $9 billion is in part intended to use and increase Nvidia’s Grace Blackwell superchip, which requires enormous amounts of electrical energy and specialised liquid cooling systems. It is now subject to the approval of Congress.&nbsp;&nbsp;The US intelligence community is facing a serious shortage of advanced AI chips needed for next-generation surveillance, cyberwarfare, and intelligence analysis. Not just the intelligence community, the entire AI stack is facing an extended demand for compute power and semiconductor manufacturing capacity. US intelligence agencies like the National Security Agency and the Department of Defence fear they are falling behind private AI labs and geopolitical rivals. The Trump administration is considering allocating $800 million for a more rapid acquisition of computing capacity“Our intelligence community needs the frontier - the best AI chips, models, systems, talent - on a timeline that matches the threat,” said Vinh Nguyen, the former chief data scientist at the NSA and a senior fellow on AI at the Council on Foreign Relations.Also Read: <a href="https://www.wionews.com/world/trump-taiwan-president-lai-ching-te-arms-sale-china-1779453425726">Trump says he will speak to Taiwan President amid arms sale tensions with China</a>&nbsp;<h2>US is treating AI like a national security asset &nbsp;</h2>The US government has started to consider AI as infrastructure as a national security asset comparable to nuclear technology or satellite systems. The funding aligns with several other recent national security steps taken by the administration. The US government agencies run their AI models on Amazon Web Services, which has recently announced $50 billion for upgrading its government cloud computing services.&nbsp;&nbsp;Top tech firms OpenAI, Anthropic, and xAI have agreed to allow pre-release access to advanced AI models for government vetting. While Anthropic appeared more cautious and tried to maintain restrictions on military and surveillance usage, which reportedly led to tensions with the Pentagon earlier in 2026. The two sides had a clash when Anthropic resisted the Defence Department's demand for the authority to employ Anthropic’s technology for “any lawful use.” To work around the chip shortage, Susie Wiles, the White House chief of staff, has authorised the National Security Agency to continue to use an advanced model made by Anthropic despite the Pentagon designating the company a supply chain threat. The NSA is now finalising a contract to keep using the Mythos model of Anthropic.&nbsp;&nbsp;Trump was expected to sign a new AI executive order in May 2026, but abruptly cancelled the signing just hours before the ceremony. The draft was a way to regulate the AI models, a precursor to licensing. But it was cancelled after pressure from Elon Musk, Mark Zuckerberg and former AI adviser David Sacks. Trump argued he didn't like “aspects of it”. Trump himself has said before, “We’re leading China … I don’t want to do anything that’s going to get in the way of that lead.” Donald Trump previously revoked a major AI safety executive order issued by Joe Biden shortly after returning to office in January 2025.&nbsp;&nbsp;

The White House has approved a $9 billion AI funding initiative for US intelligence agencies as Washington races to secure Nvidia chips, boost surveillance capabilities, and stay ahead in the global AI competition.

The White House has officially approved a $9 billion funding initiative aimed at helping the US intelligence agencies to rapidly adopt and integrate advanced artificial intelligence capabilities. The request was made to acquire cutting-edge computer chips that American spy agencies needed to boost model capabilities. The $9 billion is in part intended to use and increase Nvidia’s Grace Blackwell superchip, which requires enormous amounts of electrical energy and specialised liquid cooling systems. It is now subject to the approval of Congress. The US intelligence community is facing a serious shortage of advanced AI chips needed for next-generation surveillance, cyberwarfare, and intelligence analysis. Not just the intelligence community, the entire AI stack is facing an extended demand for compute power and semiconductor manufacturing capacity. US intelligence agencies like the National Security Agency and the Department of Defence fear they are falling behind private AI labs and geopolitical rivals. The Trump administration is considering allocating $800 million for a more rapid acquisition of computing capacity “Our intelligence community needs the frontier - the best AI chips, models, systems, talent - on a timeline that matches the threat,” said Vinh Nguyen, the former chief data scientist at the NSA and a senior fellow on AI at the Council on Foreign Relations. Also Read: Trump says he will speak to Taiwan President amid arms sale tensions with China US is treating AI like a national security asset The US government has started to consider AI as infrastructure as a national security asset comparable to nuclear technology or satellite systems. The funding aligns with several other recent national security steps taken by the administration. The US government agencies run their AI models on Amazon Web Services, which has recently announced $50 billion for upgrading its government cloud computing services. Top tech firms OpenAI, Anthropic, and xAI have agreed to allow pre-release access to advanced AI models for government vetting. While Anthropic appeared more cautious and tried to maintain restrictions on military and surveillance usage, which reportedly led to tensions with the Pentagon earlier in 2026. The two sides had a clash when Anthropic resisted the Defence Department's demand for the authority to employ Anthropic’s technology for “any lawful use.” To work around the chip shortage, Susie Wiles, the White House chief of staff, has authorised the National Security Agency to continue to use an advanced model made by Anthropic despite the Pentagon designating the company a supply chain threat. The NSA is now finalising a contract to keep using the Mythos model of Anthropic. Trump was expected to sign a new AI executive order in May 2026, but abruptly cancelled the signing just hours before the ceremony. The draft was a way to regulate the AI models, a precursor to licensing. But it was cancelled after pressure from Elon Musk, Mark Zuckerberg and former AI adviser David Sacks. Trump argued he didn't like “aspects of it”. Trump himself has said before, “We’re leading China … I don’t want to do anything that’s going to get in the way of that lead.” Donald Trump previously revoked a major AI safety executive order issued by Joe Biden shortly after returning to office in January 2025.

The White House has approved a $9 billion AI funding initiative for US intelligence agencies as Washington races to secure Nvidia chips, boost surveillance capabilities, and stay ahead in the global AI competition.

US spy agencies race for Nvidia AI chips under new $9 billion plan

Meta has laid off around 8,000 employees, nearly 10 per cent of its global workforce, as the company accelerates its transition towards artificial intelligence. The layoffs began on May 20 across regions including Singapore, the United States and the United Kingdom, according to reports. The move is part of a wider restructuring as Meta positions itself as an AI-focused company.&nbsp;<h2>Layoffs come despite strong financial performance</h2>Meta’s decision to reduce jobs has raised questions among employees, especially as the company recently reported strong financial results and record revenue According to internal discussions cited in reports, the company is increasing its spending significantly, with plans to invest between $125 billion and $145 billion this year, much of it directed towards AI infrastructure and development.&nbsp;This highlights a shift in priorities, where investment is moving from workforce expansion to technology and automation.Employees face uncertainty and concernsThe layoffs have created uncertainty across Meta’s workforce of around 78,000 employees.<h2>Reports indicate that:</h2>Employees were informed through emails early in the day across different time zonesMany teams relied on internal systems to check who had been affectedSome workers had joined recently and were still impacted There have also been internal reactions, including employees sharing messages and raising concerns about job security.<h2>AI transition driving organisational changes</h2>Meta is not only cutting jobs but also reorganising its workforce. Around 7,000 employees are being reassigned to new AI-focused roles. The company has created a new team focused on applied AI and engineering, which is expected to play a central role in developing AI tools and systems. Executives have described artificial intelligence as a key priority, with CEO Mark Zuckerberg stating that AI is one of the most important technologies for the company’s future.<h2>Employee concerns over AI tracking and data use</h2>Alongside the layoffs, some employees have raised concerns about new internal programmes that track employee data for AI training. Reports suggest that more than 1,000 employees signed a petition opposing such measures. The concerns reflect wider debates about how companies use data to develop AI systems. Some workers have also expressed anxiety about whether AI tools could replace certain roles in the future.<h2>Part of a wider trend in the tech industry</h2>Meta’s layoffs are part of a broader pattern across the technology sector. Companies such as Cisco, Microsoft and others have also announced job cuts while increasing investment in AI. Industry experts note that businesses are restructuring to focus on automation and advanced technologies, which is changing workforce requirements.<h2>What this means for employees and industry</h2>The situation at Meta shows how the shift towards AI is affecting employment in the technology sector. While new roles are being created in AI development, traditional roles may be reduced or reshaped. This transition is likely to continue as companies invest more in automation and digital systems.&nbsp;<h2>What happens next</h2>Meta has said that no further company-wide layoffs are expected this year. However, the company is expected to continue investing heavily in AI and restructuring its operations. The development reflects a larger change in the industry, where companies are balancing growth, efficiency and technological advancement in an evolving digital economy&nbsp;&nbsp;

Meta has laid off around 8,000 employees, nearly 10 per cent of its global workforce, as the company accelerates its transition towards artificial intelligence.

Meta has laid off around 8,000 employees, nearly 10 per cent of its global workforce, as the company accelerates its transition towards artificial intelligence. The layoffs began on May 20 across regions including Singapore, the United States and the United Kingdom, according to reports. The move is part of a wider restructuring as Meta positions itself as an AI-focused company. Layoffs come despite strong financial performance Meta’s decision to reduce jobs has raised questions among employees, especially as the company recently reported strong financial results and record revenue According to internal discussions cited in reports, the company is increasing its spending significantly, with plans to invest between $125 billion and $145 billion this year, much of it directed towards AI infrastructure and development. This highlights a shift in priorities, where investment is moving from workforce expansion to technology and automation. Employees face uncertainty and concerns The layoffs have created uncertainty across Meta’s workforce of around 78,000 employees. Reports indicate that: Employees were informed through emails early in the day across different time zones Many teams relied on internal systems to check who had been affected Some workers had joined recently and were still impacted There have also been internal reactions, including employees sharing messages and raising concerns about job security. AI transition driving organisational changes Meta is not only cutting jobs but also reorganising its workforce. Around 7,000 employees are being reassigned to new AI-focused roles. The company has created a new team focused on applied AI and engineering, which is expected to play a central role in developing AI tools and systems. Executives have described artificial intelligence as a key priority, with CEO Mark Zuckerberg stating that AI is one of the most important technologies for the company’s future. Employee concerns over AI tracking and data use Alongside the layoffs, some employees have raised concerns about new internal programmes that track employee data for AI training. Reports suggest that more than 1,000 employees signed a petition opposing such measures. The concerns reflect wider debates about how companies use data to develop AI systems. Some workers have also expressed anxiety about whether AI tools could replace certain roles in the future. Part of a wider trend in the tech industry Meta’s layoffs are part of a broader pattern across the technology sector. Companies such as Cisco, Microsoft and others have also announced job cuts while increasing investment in AI. Industry experts note that businesses are restructuring to focus on automation and advanced technologies, which is changing workforce requirements. What this means for employees and industry The situation at Meta shows how the shift towards AI is affecting employment in the technology sector. While new roles are being created in AI development, traditional roles may be reduced or reshaped. This transition is likely to continue as companies invest more in automation and digital systems. What happens next Meta has said that no further company-wide layoffs are expected this year. However, the company is expected to continue investing heavily in AI and restructuring its operations. The development reflects a larger change in the industry, where companies are balancing growth, efficiency and technological advancement in an evolving digital economy

Meta has laid off around 8,000 employees, nearly 10 per cent of its global workforce, as the company accelerates its transition towards artificial intelligence.

Meta lays off 8,000 employees as company shifts focus to artificial intelligence

<h2>The Bigger picture</h2>Data centres attracted more than one-fifth of all global greenfield foreign direct investment in 2025, with announced investment exceeding $270 billion, according to a United Nations Conference on Trade and Development (UNCTAD) report published in January 2026, a figure that signals a fundamental shift in how nations are now competing for dominance in the artificial intelligence era.The top recipients of that investment were France, the United States and South Korea. India did not feature in the top tier.That gap sits at the centre of a debate being pressed by industry leaders and backed by a growing body of data, that the AI race is no longer primarily about models, algorithms or research output, but about who builds the physical ecosystems to run AI at scale."AI is often spoken about as a software revolution, but its growth is fundamentally tied to physical infrastructure," said Vikas Garg, Co-founder and Chief Product Officer at Kapture CX. "Every AI interaction depends on massive compute capacity, data centres, energy systems, networking infrastructure and hardware supply chains working seamlessly in the background. As AI adoption scales globally, the countries and enterprises investing in this foundational infrastructure today will shape the next era of digital leadership."<h2>India's structural strengths</h2>India enters this contest with a recognised structural asset: its Global Capability Centre ecosystem. The country hosts over 1,700 GCCs employing 1.9 million professionals and generating $64.6 billion in revenue in FY24, up from $40.4 billion in FY19, according to the Economic Survey 2024-25 and a government press release from November 2025.India's GCC count is projected to cross 2,400 centres by 2030, according to a joint report by the Federation of Indian Chambers of Commerce and Industry and real estate consultancy ANAROCK, released in February 2026.Data centre capacity has followed a parallel growth curve. India's installed capacity grew from 350 megawatts in 2019 to 917 megawatts in 2024 and is projected to reach 1.8 gigawatts by 2027, at a compound annual growth rate of approximately 21 per cent since 2019, according to JLL India's April 2025 market research."India is uniquely positioned at the centre of this shift," said Kunal Sharma, Founder and CEO of Flipspaces, an enterprise infrastructure firm. "The country's GCC ecosystem is projected to cross 2,400 centres by 2030, while data centre capacity is expected to grow at over 20 per cent CAGR, driven by cloud expansion, AI workloads and data localisation mandates."<h2>The capacity gap</h2>The growth trajectory, however, sits against a stark structural imbalance. India currently holds approximately three per cent of global data centre capacity, according to Deloitte India's 2025 analysis, a share that stands in sharp contrast to its scale as a digital economy.The UNCTAD findings underline the competitive pressure. With more than $270 billion in announced data centre FDI concentrating in a handful of markets in 2025, the investment gap between leading and emerging economies is widening, not closing.<h2>The UAE comparison</h2>The United Arab Emirates offers a pointed parallel. Microsoft committed $15.2 billion in UAE data centre investment, according to a Microsoft press release from April 2025, a single bilateral commitment that illustrates the scale of capital now moving into sovereign AI infrastructure strategies.India's equivalent policy framework, the Ministry of Electronics and Information Technology's draft National Data Centre Policy, which proposes a 20-year income tax exemption for data centre developers, remains a consultation draft and has not been officially gazetted as law.<h2>Competitiveness picture</h2>India's position in global AI rankings reflects both its progress and the distance still to cover. Stanford University's Global AI Vibrancy Tool ranked India third globally in AI competitiveness in 2025, up from seventh in 2023. ICRIER's State of India's Digital Economy 2025 report confirmed India as the third most digitalised economy globally by scale, but flagged that the country ranks 11th in AI research output and 16th in AI infrastructure.Kunal Sharma argues the conversation must extend beyond data centres into the broader enterprise environment. "What is particularly interesting is how the definition of infrastructure itself is evolving. Enterprises today are no longer looking at office spaces as static real estate assets. They are becoming dynamic, technology-enabled operating environments built around data, automation and workforce agility," he said."Across markets like India, the UAE and the US, there is a growing demand for integrated execution models that combine technology, spatial intelligence and faster delivery cycles. The next decade of AI leadership will belong not just to companies building models, but to nations and enterprises capable of building the infrastructure ecosystems that allow AI to scale sustainably."

The AI race is no longer primarily about models, algorithms or research output, but about who builds the physical ecosystems to run them at scale. While India ranks third most digitalised economy globally by scale, it is 11th in AI research output and 16th in AI infrastructure.

The Bigger picture Data centres attracted more than one-fifth of all global greenfield foreign direct investment in 2025, with announced investment exceeding $270 billion, according to a United Nations Conference on Trade and Development (UNCTAD) report published in January 2026, a figure that signals a fundamental shift in how nations are now competing for dominance in the artificial intelligence era. The top recipients of that investment were France, the United States and South Korea. India did not feature in the top tier. That gap sits at the centre of a debate being pressed by industry leaders and backed by a growing body of data, that the AI race is no longer primarily about models, algorithms or research output, but about who builds the physical ecosystems to run AI at scale. "AI is often spoken about as a software revolution, but its growth is fundamentally tied to physical infrastructure," said Vikas Garg, Co-founder and Chief Product Officer at Kapture CX. "Every AI interaction depends on massive compute capacity, data centres, energy systems, networking infrastructure and hardware supply chains working seamlessly in the background. As AI adoption scales globally, the countries and enterprises investing in this foundational infrastructure today will shape the next era of digital leadership." India's structural strengths India enters this contest with a recognised structural asset: its Global Capability Centre ecosystem. The country hosts over 1,700 GCCs employing 1.9 million professionals and generating $64.6 billion in revenue in FY24, up from $40.4 billion in FY19, according to the Economic Survey 2024-25 and a government press release from November 2025. India's GCC count is projected to cross 2,400 centres by 2030, according to a joint report by the Federation of Indian Chambers of Commerce and Industry and real estate consultancy ANAROCK, released in February 2026. Data centre capacity has followed a parallel growth curve. India's installed capacity grew from 350 megawatts in 2019 to 917 megawatts in 2024 and is projected to reach 1.8 gigawatts by 2027, at a compound annual growth rate of approximately 21 per cent since 2019, according to JLL India's April 2025 market research. "India is uniquely positioned at the centre of this shift," said Kunal Sharma, Founder and CEO of Flipspaces, an enterprise infrastructure firm. "The country's GCC ecosystem is projected to cross 2,400 centres by 2030, while data centre capacity is expected to grow at over 20 per cent CAGR, driven by cloud expansion, AI workloads and data localisation mandates." The capacity gap The growth trajectory, however, sits against a stark structural imbalance. India currently holds approximately three per cent of global data centre capacity, according to Deloitte India's 2025 analysis, a share that stands in sharp contrast to its scale as a digital economy. The UNCTAD findings underline the competitive pressure. With more than $270 billion in announced data centre FDI concentrating in a handful of markets in 2025, the investment gap between leading and emerging economies is widening, not closing. The UAE comparison The United Arab Emirates offers a pointed parallel. Microsoft committed $15.2 billion in UAE data centre investment, according to a Microsoft press release from April 2025, a single bilateral commitment that illustrates the scale of capital now moving into sovereign AI infrastructure strategies. India's equivalent policy framework, the Ministry of Electronics and Information Technology's draft National Data Centre Policy, which proposes a 20-year income tax exemption for data centre developers, remains a consultation draft and has not been officially gazetted as law. Competitiveness picture India's position in global AI rankings reflects both its progress and the distance still to cover. Stanford University's Global AI Vibrancy Tool ranked India third globally in AI competitiveness in 2025, up from seventh in 2023. ICRIER's State of India's Digital Economy 2025 report confirmed India as the third most digitalised economy globally by scale, but flagged that the country ranks 11th in AI research output and 16th in AI infrastructure. Kunal Sharma argues the conversation must extend beyond data centres into the broader enterprise environment. "What is particularly interesting is how the definition of infrastructure itself is evolving. Enterprises today are no longer looking at office spaces as static real estate assets. They are becoming dynamic, technology-enabled operating environments built around data, automation and workforce agility," he said. "Across markets like India, the UAE and the US, there is a growing demand for integrated execution models that combine technology, spatial intelligence and faster delivery cycles. The next decade of AI leadership will belong not just to companies building models, but to nations and enterprises capable of building the infrastructure ecosystems that allow AI to scale sustainably."

The AI race is no longer primarily about models, algorithms or research output, but about who builds the physical ecosystems to run them at scale. While India ranks third most digitalised economy globally by scale, it is 11th in AI research output and 16th in AI infrastructure.

An Infrastructure Arms race quietly reshaping AI power. Where does India stand?