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Study Warns of “AI Brain Fry” as Workers Report Mental Fatigue from Artificial Intelligence Tools

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A growing number of employees are reporting mental exhaustion linked to heavy use of artificial intelligence tools, with researchers now referring to the condition as “AI brain fry,” according to a new study by Harvard University.

The research surveyed more than 1,400 full-time workers in the United States who are employed at large companies. The goal was to understand how frequently people use AI in their daily work and how it affects their mental focus and decision-making.

About 14 percent of those surveyed said they experienced a noticeable “mental fog” after extended interactions with AI systems. Participants described symptoms such as difficulty concentrating, slower thinking, headaches and trouble making decisions after spending long periods working with AI programs.

Researchers said the findings were significant enough for them to introduce the term “AI brain fry,” which refers to mental fatigue caused by intensive use of artificial intelligence tools.

The issue is becoming more visible as businesses increasingly ask employees to develop and supervise AI agents. These automated systems are designed to perform tasks with minimal human supervision, but workers often need to manage and review their outputs.

According to the study, the promise that AI would free up time for more meaningful work is not always being realised. Instead, many employees report spending their time juggling several digital tools and constantly switching between them.

“Employees find themselves toggling between more tools,” the study said. Rather than reducing workloads, multitasking and monitoring different systems can become central to the job.

The researchers warned that this type of cognitive strain could lead to higher rates of mistakes, decision fatigue and even increased intentions among workers to leave their jobs.

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Concerns about mental fatigue from AI have also appeared on social media, where some users say the constant need to monitor AI-generated work can be exhausting. One AI company founder wrote online that he finishes each day feeling drained, not because of the work itself but because of the effort required to manage automated systems.

The study also examined which types of AI-related work are the most mentally demanding. Oversight tasks, where employees monitor or check the output of AI systems, were identified as the most stressful.

Workers responsible for supervising AI outputs reported about 12 percent more mental fatigue than those who did not perform this role. Researchers attributed this to information overload, a situation where employees feel overwhelmed by the volume of data and tasks they must process.

Employees also said AI tools sometimes increase workloads by forcing them to track results across multiple systems within the same timeframe.

The study found a noticeable drop in productivity when workers used more than three AI tools at the same time. Participants who reported experiencing “AI brain fry” were also found to make 39 percent more major mistakes than colleagues who did not report the same symptoms.

Workers in marketing, operations, engineering, finance and information technology were among those most likely to report the effects of AI-related mental fatigue.

Researchers said artificial intelligence can still reduce burnout when it is used to handle routine or repetitive tasks. They stressed the importance of distinguishing between AI applications that ease workloads and those that may unintentionally increase cognitive pressure on employees.

See also  AI Agents Take Centre Stage as Qatar Expands Training and Testing

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AI Agents Take Centre Stage as Qatar Expands Training and Testing

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Artificial intelligence agents that can perform tasks on behalf of users were a major focus at the Google Cloud Summit in Doha, as Qatar expands its efforts to train workers and test new AI applications.

The technology is moving beyond generative AI, which produces text, images and answers in response to prompts. AI agents are designed to take additional steps independently to complete specific tasks, creating new opportunities for businesses while raising questions about oversight and the future of work.

Alex Rutter, managing director of Google Cloud’s artificial intelligence business across Europe, the Middle East and Africa, said generative AI is primarily used to create new content through large language models. Agentic AI, by contrast, can be used to carry out processes after receiving instructions.

Rutter cited invoice reconciliation as an example. An AI agent could check information on an invoice against payment and supplier records before a payment is approved. Such repetitive work involving multiple databases could be suitable for automation, he said.

Greater autonomy also increases the need for safeguards. Rutter said Google currently recommends keeping a person involved in reviewing the results produced by AI agents. Instead of checking every piece of data, employees could focus on exceptions identified by the systems.

The level of human oversight would depend on the nature of the task and the risks an organisation is prepared to accept. In fields such as medicine, Rutter said AI should assist clinicians rather than replace their decisions.

The Doha summit also marked three years since Google Cloud opened its cloud region in Qatar. The company announced a new national training programme with Qatar Digital Academy that is expected to provide more than 50,000 learning opportunities in the country by 2030.

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The programme will target several groups, including workers, executives and software developers, as Qatar seeks to expand its pool of people with skills needed to use and manage AI technologies.

Ghassan Kosta, Google Cloud’s regional general manager for Qatar, Oman, Bahrain and Iraq, said the company was expanding its services to support the growing demands of agentic AI. He said data centre infrastructure would need to develop alongside advances in AI.

Qatar’s Ministry of Communications and Information Technology also announced an innovation lab developed with Google Cloud. The facility will allow AI projects to be tested before they are deployed more widely.

Amna Al-Kaabi, head of emerging technologies at the ministry, said the partnership was intended to connect technology experiments with practical needs in different sectors and help projects progress from early testing to real-world applications.

The increasing ability of AI systems to perform tasks is also prompting questions about employment. Rutter said it was difficult to predict the pace of change, but suggested that managing AI agents could become a responsibility for some workers.

He said future workplaces could include employees managing people, AI agents or both, although businesses are still determining which tasks can safely and effectively be assigned to autonomous systems.

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Alibaba Expands European Data Centres and Unveils New AI Chip

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Alibaba is expanding its global cloud infrastructure with plans to establish new data centre regions in Europe, while also developing larger artificial intelligence models and a new AI chip aimed at strengthening its position in the fast-growing technology market.

The Chinese technology group announced on Wednesday that Alibaba Cloud will establish its first cloud regions in Finland, the Netherlands and Turkey. The company also plans to expand its data centre presence in Germany, France, the UAE, Malaysia and Hong Kong over the next 12 months.

Eddie Wu, CEO of Alibaba Group, said machine-based reasoning currently represents less than 3 per cent of total human thinking capacity but could eventually reach levels far beyond current capabilities.

“With this in mind, our target is that by 2032, the global data centre capacity operated by Alibaba Cloud will surpass 20GW, fueling the industry’s exponentially rising demand for AI,” Wu said.

The planned expansion is expected to increase Alibaba Cloud’s computing capacity as businesses and governments accelerate investment in AI systems that require greater processing power and data storage.

Alibaba is also expanding the capabilities of its Qwen family of AI models. Wu said on Tuesday that future versions could contain between five trillion and 10 trillion parameters, potentially making them several times larger than the biggest Chinese models currently available.

The Qwen models have become prominent in China’s AI sector and are among the most widely downloaded Chinese-developed AI models globally.

The company also introduced a new AI chip at its annual conference. Wu described the Zhenwu V900 as “the most powerful AI chip in China today”.

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The chip is being developed as China faces continued restrictions on access to advanced semiconductors from the United States. The Zhenwu V900 is widely reported to offer roughly twice the performance of Nvidia’s H20 chip, which was designed for the Chinese market.

US export controls have restricted Chinese companies’ access to some advanced AI processors, encouraging Beijing and domestic technology firms to accelerate development of locally produced alternatives.

Alibaba’s announcement comes as China seeks to expand its domestic AI infrastructure while competing with technology companies in the United States and other major markets.

The company said the overseas data centre expansion would help provide additional computing resources for customers in several regions and support growing demand for cloud and AI services.

The announcement also comes ahead of an expected meeting between US President Donald Trump and Chinese President Xi Jinping in Washington this week. Trade, semiconductor restrictions and concerns over the national security implications of artificial intelligence are expected to be among the issues discussed.

Alibaba’s investment plans highlight the growing connection between cloud infrastructure, advanced chips and AI model development as technology companies compete to build increasingly powerful systems.

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Global Survey Finds Growing Concern Over AI-Driven Job Losses

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Growing concern over the impact of artificial intelligence on employment is being reported across the world, with more people expecting AI to reduce the number of available jobs than create new opportunities, according to a global survey by the Pew Research Center.

The study, based on interviews conducted between February and June 2026, surveyed more than 50,000 people across 37 countries. It examined attitudes toward AI, including expectations about its effect on employment, economic inequality and its growing role in everyday life.

Moira Fagan, a senior researcher at the Pew Research Center and one of the study’s authors, said public views of individual countries and confidence in their ability to regulate AI appear to be closely connected.

In Bangladesh, Malaysia, Pakistan, Sri Lanka, the West Bank and East Jerusalem, respondents were more likely to trust China than the United States or the European Union to regulate artificial intelligence.

Across the 11 middle-income countries included in the question, a median of 43% said they trusted China to regulate AI, compared with 35% for the United States and 34% for the European Union.

Fagan said favourable views of China were relatively strong in many middle-income countries and had increased in several places compared with the previous year. She said this may help explain the higher levels of confidence in China’s approach to AI regulation.

The survey also found that concerns about job losses were particularly widespread in wealthier countries. In Australia, South Korea and the United States, around seven in 10 adults or more expected AI to result in job losses over the next 20 years.

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People in richer countries were also more likely to worry that AI could widen economic inequality. Fagan said this could partly reflect greater familiarity with the technology.

People who said they had heard or read a lot about AI were more likely to expect it to reduce employment opportunities, according to the research.

Age was another factor in public attitudes. In several countries, including Canada, France, Singapore, Sweden, Indonesia, India and Malaysia, adults aged 18 to 34 were more concerned about AI-related job losses than older respondents.

Views were less divided over the broader presence of AI in daily life. Across the 37 countries surveyed, a median of 37% said they were more concerned than excited about AI, while 41% said they felt equally concerned and excited.

The findings come as debate grows over the pace of AI development and its potential risks. AI company leaders, including Sam Altman, Elon Musk and Dario Amodei, have raised concerns about the risks associated with increasingly advanced systems.

European Commission President Ursula von der Leyen has also called for greater caution over the development of frontier AI models and closer international cooperation on safety.

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