At the 2026 World Economic Forum’s Annual Meeting of the New Champions, widely known as "Summer Davos", in Dalian, China, the discourse around artificial intelligence shifted from speculative fear to the practical realities of workforce integration. With nearly 40% of jobs currently facing AI-driven transformation, leaders emphasized that the primary challenge is no longer the technology itself, but the "human systems" required to support it.

Summer Davos 2026: 'The Real AI Crisis Isn't Technology', Say Global Leaders

AI startup Anthropic has expanded its push into the workplace by introducing an AI agent directly inside Slack. The new feature is designed to help teams manage tasks, answer questions, summarize conversations, and improve productivity without leaving the messaging platform. As competition in the AI race intensifies, Anthropic is betting that intelligent workplace assistants will become a key part of everyday business operations. Here's what the new integration means for companies and employees.

Anthropic Introduces AI Agent Inside Slack Messaging App 

Five Eyes- the alliance of intelligence agencies of U.S, UK, Australia, New Zealand and Canada warned that advanced AI models capable of engineering cyber-attacks are merely months away. Stressing that AI lowers barriers for malicious actors, it called for urgent action to adapt to evolving threats. 


Five Intelligence Agencies Issue Urgent Warning Over AI Cyber Threats

Alphabet is facing growing scrutiny as competition in the AI race intensifies. Reports of a Nobel Prize-winning researcher leaving Google for Anthropic have fueled concerns about talent retention, while the company continues to pour billions into AI infrastructure and data centers. Despite aggressive investment, rising capital expenditures have weighed on cash flow, and Alphabet's stock has slipped in recent weeks.


Alphabet Stock Down 11% In Just Five Weeks 

Indonesia is launching a national AI roadmap (2026–2029) to integrate artificial intelligence across ministries and regional administrations. The strategy aims to support key presidential programs, drive economic growth, and accelerate AI adoption in public services. Through this draft initiative, the government intends to boost Indonesia’s regional and global competitiveness in the AI landscape.


Indonesia Draws Up National AI Adoption Roadmap

Indonesia is launching a national AI roadmap (2026–2029) to integrate artificial intelligence across ministries and regional administrations. The strategy aims to support key presidential programs, drive economic growth, and accelerate AI adoption in public services. Through this draft initiative, the government intends to boost Indonesia’s regional and global competitiveness in the AI landscape.

Indonesia's AI Push: Can Jakarta Become Asia's Next AI Hub?

Europe is pushing for greater AI sovereignty by reducing dependence on foreign technology providers and building its own independent AI infrastructure. France has reportedly moved away from using Palantir systems as part of this broader shift toward European-controlled data and intelligence tools. The EU is investing in domestic AI development to avoid strategic dependency.

Europe Pushes AI Sovereignty: France Dumps Palantir as EU Builds Its Own AI Fortress

Snap is making a major push into the future of computing with the launch of its new AI-powered augmented reality glasses. Set to go on sale in the U.S., UK, and France, the smart specs combine artificial intelligence with immersive AR experiences, allowing users to interact with digital information in entirely new ways.


Snap Bets Big on AI With Next-Generation AR Smart Glasses

Europe is accelerating its push for AI sovereignty, with France taking steps to reduce reliance on foreign technology providers and strengthen domestic capabilities. The move reflects a broader European effort to build secure, homegrown artificial intelligence systems and digital infrastructure. As AI becomes increasingly central to economic competitiveness and national security, policymakers across Europe are seeking greater control over critical technologies, data, and innovation. The question now is whether Europe can create a powerful AI ecosystem capable of competing with the United States and China.

Europe’s AI Fortress: France Cuts Dependence on US Tech in Sovereignty Push

AI-powered search is transforming how people discover information online, but trust remains a major challenge. While brands are benefiting from growing AI-driven traffic and visibility, many users still prefer checking original websites and sources before accepting AI-generated answers. The trend highlights a growing gap between convenience and credibility, as consumers seek both speed and accuracy in the age of artificial intelligence. The future of AI search may depend on whether it can earn greater public trust.


AI Search Trust Crisis: Users Question AI Answers as Brands Chase Visibility

The most powerful AI created till now, Claude Fable and Claude Mythos made unavailable after a US government export control directive prohibited their use by any foreign national, whether inside or outside the United States. The directive cited that the model was susceptible to “jailbreak”. Anthropic's newly developed frontier “AI models” have been reported to have reached a level of capability that poses a catastrophic risk to public and national security. The US government has started to consider AI as infrastructure as a national security asset comparable to nuclear technology or satellite systems. It had earlier passed a regulation advising a 30-day "voluntary" review before making any AI models public. A discussion has been going on between the Trump administration and major AI companies for the government to effectively become a partner of the companies. This means countries like Russia and China would perceive AI as an extension of the US military.<h2>AI models built on public data</h2>According to Anthropic's System Cards, Claude Fable 5 and Mythos 5 were trained using publicly available information from the internet, harvested via their proprietary web crawler, ClaudeBot. Though the training process is more complex than just open data sets, these models are ingested with open forums, Wikipedia, research papers, and code repositories. Further, it also acquires datasets under commercial agreements with third-party businesses, data that its users or crowd workers provide, and data that people allow it to use, such as chats and coding sessions, to improve Claude.So, while proprietary partnerships exist among the data mixes, they contain only a fraction of the trillions of tokens required to train an AI model.Anthropic recently settled a class action lawsuit in 2025. The Bartz v. Anthropic copyright settlement involved a $1.5 billion payout regarding the ingestion of pirated books for AI training. The core irony is that while the building blocks of these models are mostly public, the resulting capabilities have triggered national security crackdowns, such as export controls. &nbsp;&nbsp;Also Read: <a href="https://www.wionews.com/world/qatar-lng-export-recovery-strait-of-hormuz-reopening-report-1781615377349">Qatar aims to restore 80% of LNG production within two months after Hormuz reopening</a><h2>Intelligence as a commodity</h2>OpenAI CEO Sam Altman said that they envision a future where knowledge is a commodity. By scraping the collective knowledge, culture, and open-source contributions of humanity, private corporations have built a new utility: digital intelligence. Now, when the government place security walls, and the corporations hide them behind expensive tokens, it is nothing but gatekeeping. Knowledge that was once free and decentralised, available for everyone's consumption, now becomes a proprietary black box; it is packaged, controlled and sold. Debashish Chakrabarti, Editor in Chief of the International Journal of Politics, argues that from biometric databases to cloud infrastructures, the Global South is generating the data that powers artificial intelligence — yet the wealth, control, and computational sovereignty remain elsewhere. To access that synthesised knowledge efficiently, users must now pay a toll to a private company. A kind of neo-feudal society, while the government will leverage that knowledge, use it as a geopolitical gatekeeping tool and create a class of knowledge elites.&nbsp;Jai Asundi, Executive Director at the Centre for the Study of Science, Technology and Policy, thinks that export control is unlikely to be a permanent phenomenon. “Open-source models and tools will eventually catch up, and collective work by the global community is likely to make them as robust as—if not more robust than—proprietary systems. Humanity has benefited from globalisation, so while this ‘decline’ might be a temporary blip, it's unlikely to remain so over the long term,” he said. &nbsp;But the extraction is not limited to mere gatekeeping. Massive data centre infrastructure is being built, which drains natural resources like water and land, and puts those at the lower strata of society at risk. For example, &nbsp;New Delhi had been aggressively courting US big tech to set up data centres in the country. The Indian government announced a 20-year tax holiday for foreign cloud service companies using India-based data centres to serve global customers. The aim is to position India as a global hub for artificial intelligence infrastructure. This push has collided with a severe reality on the ground. Farmers are being pushed to give up their land, as the protest continues. Similar pushbacks have been seen in places like Virginia, Iowa, and Arizona. Environmental groups are increasingly vocal about the carbon and water intensity of AI infrastructure. The basic structure has huge similarities with the colonial drain of wealth, where resources like power, water, and land are extracted from India, value is processed, and the surplus is flown back to wealthy foreign consumers. Indian consumers then pay for the digitised output as a service. The only difference between the colonial era and now is that India has agency, and it is voluntarily entering into this arrangement.

As governments impose AI export controls and tech firms build powerful models from public data, a debate is growing over ownership, access and digital power.

The most powerful AI created till now, Claude Fable and Claude Mythos made unavailable after a US government export control directive prohibited their use by any foreign national, whether inside or outside the United States. The directive cited that the model was susceptible to “jailbreak”. Anthropic's newly developed frontier “AI models” have been reported to have reached a level of capability that poses a catastrophic risk to public and national security. The US government has started to consider AI as infrastructure as a national security asset comparable to nuclear technology or satellite systems. It had earlier passed a regulation advising a 30-day "voluntary" review before making any AI models public. A discussion has been going on between the Trump administration and major AI companies for the government to effectively become a partner of the companies. This means countries like Russia and China would perceive AI as an extension of the US military. AI models built on public data According to Anthropic's System Cards, Claude Fable 5 and Mythos 5 were trained using publicly available information from the internet, harvested via their proprietary web crawler, ClaudeBot. Though the training process is more complex than just open data sets, these models are ingested with open forums, Wikipedia, research papers, and code repositories. Further, it also acquires datasets under commercial agreements with third-party businesses, data that its users or crowd workers provide, and data that people allow it to use, such as chats and coding sessions, to improve Claude. So, while proprietary partnerships exist among the data mixes, they contain only a fraction of the trillions of tokens required to train an AI model. Anthropic recently settled a class action lawsuit in 2025. The Bartz v. Anthropic copyright settlement involved a $1.5 billion payout regarding the ingestion of pirated books for AI training. The core irony is that while the building blocks of these models are mostly public, the resulting capabilities have triggered national security crackdowns, such as export controls. Also Read: Qatar aims to restore 80% of LNG production within two months after Hormuz reopening Intelligence as a commodity OpenAI CEO Sam Altman said that they envision a future where knowledge is a commodity. By scraping the collective knowledge, culture, and open-source contributions of humanity, private corporations have built a new utility: digital intelligence. Now, when the government place security walls, and the corporations hide them behind expensive tokens, it is nothing but gatekeeping. Knowledge that was once free and decentralised, available for everyone's consumption, now becomes a proprietary black box; it is packaged, controlled and sold. Debashish Chakrabarti, Editor in Chief of the International Journal of Politics, argues that from biometric databases to cloud infrastructures, the Global South is generating the data that powers artificial intelligence — yet the wealth, control, and computational sovereignty remain elsewhere. To access that synthesised knowledge efficiently, users must now pay a toll to a private company. A kind of neo-feudal society, while the government will leverage that knowledge, use it as a geopolitical gatekeeping tool and create a class of knowledge elites. Jai Asundi, Executive Director at the Centre for the Study of Science, Technology and Policy, thinks that export control is unlikely to be a permanent phenomenon. “Open-source models and tools will eventually catch up, and collective work by the global community is likely to make them as robust as—if not more robust than—proprietary systems. Humanity has benefited from globalisation, so while this ‘decline’ might be a temporary blip, it's unlikely to remain so over the long term,” he said. But the extraction is not limited to mere gatekeeping. Massive data centre infrastructure is being built, which drains natural resources like water and land, and puts those at the lower strata of society at risk. For example, New Delhi had been aggressively courting US big tech to set up data centres in the country. The Indian government announced a 20-year tax holiday for foreign cloud service companies using India-based data centres to serve global customers. The aim is to position India as a global hub for artificial intelligence infrastructure. This push has collided with a severe reality on the ground. Farmers are being pushed to give up their land, as the protest continues. Similar pushbacks have been seen in places like Virginia, Iowa, and Arizona. Environmental groups are increasingly vocal about the carbon and water intensity of AI infrastructure. The basic structure has huge similarities with the colonial drain of wealth, where resources like power, water, and land are extracted from India, value is processed, and the surplus is flown back to wealthy foreign consumers. Indian consumers then pay for the digitised output as a service. The only difference between the colonial era and now is that India has agency, and it is voluntarily entering into this arrangement.

As governments impose AI export controls and tech firms build powerful models from public data, a debate is growing over ownership, access and digital power.

AI, data centres and digital colonialism: How intelligence became a commodity

Artificial intelligence is becoming a powerful force in online shopping. According to new findings, shoppers referred through AI tools such as ChatGPT are spending more than traditional online visitors, highlighting how AI recommendations are influencing purchasing decisions. Retail websites also saw AI-generated traffic surge by 138% in May compared to a year earlier. As consumers increasingly rely on AI for product discovery and buying advice, retailers are rapidly adapting to a new era of digital commerce driven by intelligent assistants.


ChatGPT Shopping Boom Drives Higher Spending and Retail Sales Growth

Microsoft CEO Satya Nadella has warned about the growing concentration of power in artificial intelligence, cautioning that value and control could increasingly flow toward a small number of dominant AI models. Speaking on the future of AI development, Nadella emphasised the importance of maintaining knowledge diversity and technological independence across companies. He also raised concerns about “AI sovereignty,” urging tech firms to retain core expertise instead of becoming overly dependent on a few centralised systems.


Satya Nadella Raises Alarm: AI Power Could Be Concentrated in Few Big Models

AI layoffs or AI washing? That’s the debate doing the rounds in corporate America as AI takes the blame for mass layoffs.

AI Forces Rethink of London’s Talent Pipeline

Artificial intelligence has been used to develop a "fundamentally new" type of vaccine that could protect against large swathes of viruses and prevent pandemics, say researchers.

The team at the University of Cambridge say it is the first time a vaccine's key component has been designed entirely by AI and then trialled in people.

AI-Designed 'Universal Vaccine' Passes First Human Trial 

Anthropic has announced the abrupt suspension of its most advanced AI models after receiving a US government directive citing national security concerns. The company said it was ordered to halt access to its Fable 5 and Mythos 5 models for foreign nationals, despite not being provided with specific details behind the decision. 


Anthropic Shuts Down Advanced AI Models After US Security Order

The firm said it was ordered to block foreign nationals from accessing its state of the art Fable 5 and Mythos 5 AI models on national security grounds. Anthropic said Friday it has cut access to two powerful artificial intelligence (AI) models after a United States government order citing national security concerns.


US Orders Anthropic To BLOCK Foreign Users

A new AI system is being trained using videos of humans performing real-life tasks. The technology observes and analyzes demonstrations to learn how activities are completed. Researchers say this approach could help AI better understand and interact with the physical world.

AI System Learns By Watching Humans Perform Real-Life Tasks

A new assessment of 100 AI agents reveals serious security weaknesses, showing that most can be manipulated through prompt injection attacks. The study highlights how hidden instructions inside emails or documents can mislead AI systems that have access to sensitive tools and data. Experts warn that as AI agents take on more real-world tasks, security gaps could become a major risk for organisations.


Study Finds AI Agents Can Make Mistake Data For Instructions

Four big tech US Companies. One number. 675 billion Dollars. That is a historic signal on what will control commerce in the next phase of the global economy.

Big Tech's AI Bet Bigger Than 1950s Railroad Era

Artificial Intelligence is rapidly transforming workplaces, but a new poll suggests that many Americans are worried about what comes next. More than half of respondents say they fear AI could threaten their jobs, highlighting growing concerns over automation, job security, and the future of work. As businesses increasingly adopt AI tools, the debate over innovation versus employment impact is becoming more intense across industries and communities worldwide.


New Poll Finds 53% Fear Artificial Intelligence Could Take Their Jobs

Pope Leo XIV has revealed which team he plans to support during FIFA World Cup 2026. The Pontiff shared his love for football while speaking about the global tournament. His comments have sparked interest among football fans around the world. The FIFA World Cup 2026 will be hosted across the United States, Canada and Mexico. Watch the full video to know more on this!

FIFA 2026: Pope Leo XIV Reveals His Favourite Team Ahead Of World Cup

Advances in Artificial Intelligence are increasing demand for authentic human interaction. As per a new report, Silicon Valley's AI millionaires are soliciting services of escorts who can talk about artificial intelligence, technology and cryptocurrency. According to this report, escorts are charging them up to $23,000 per day. 


Silicon Valley's AI Millionaires Paying Escorts Up to $23,000 Per Day: Report

The Pope reportedly met global music star Bad Bunny during a visit to Madrid, drawing worldwide attention. Images and reports of the unexpected encounter quickly spread across social media platforms.

Pope Meets Bad Bunny In Madrid, Surprise Meeting News Go Viral 

OpenAI has introduced Lockdown Mode, a new security feature designed to reduce the risk of prompt injection attacks in ChatGPT. The setting disables several internet-connected capabilities, including live web browsing and deep research, offering additional safeguards for users and organisations working with sensitive information.


OpenAI Introduces New Security Feature

Oil prices have fallen, but the risk of a rebound remains as global market volatility continues. In the US, inflation is accelerating while real incomes are declining, putting pressure on household purchasing power. Meanwhile, the eurozone is also experiencing rising inflation, prompting the European Central Bank to consider tighter monetary policy to stabilize prices. At the same time, the European Union is responding to increasing competitive pressure from China across key industries. In East Asia, artificial intelligence is emerging as a major driver of economic growth, boosting productivity and reshaping regional economic momentum.


Global Economic Health: Market Moves in June 1 Week

The artificial intelligence boom has triggered one of the biggest spending waves in corporate history. Tech giants are pouring trillions of dollars into data centres, chips and AI infrastructure. But investors are now asking a simple question: is all that spending actually paying off?


Big Tech AI Spending Tops $300 Billion This Year

Quantum science is entering a new era. Researchers have reported major breakthroughs ranging from the experimental confirmation of "negative time" effects to the creation of near-perfect quantum randomness. Meanwhile, tech giants are racing to build practical quantum computers capable of solving problems beyond the reach of today's most powerful machines.

Companies such as Microsoft are investing heavily in topological quantum computing, using elusive Majorana quasiparticles to create more stable quantum systems. As scientists continue scaling up qubit arrays and overcoming engineering challenges, the quantum revolution is moving closer to commercial reality.

Microsoft Deploys AI To Build Revolutionary New Quantum Chip

The AI boom is driving one of the strongest tech market rallies in decades, with chipmakers and big tech leading the charge. In this report of news in numbers, we break down the stunning gains powering the US tech sector's surge and the growing impact of artificial intelligence on Wall Street.


AI Trade Hotter Than Ever

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