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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.

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Global Rights Groups Call for AI Companies to Be Held Responsible for Children’s Safety

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More than 100 international organisations have called on governments to hold artificial intelligence companies directly responsible for protecting children online, warning that existing regulatory approaches are failing to prevent harm.

The appeal, led by the children’s rights organisation 5Rights Foundation and supported by groups including Amnesty International and Save the Children, was issued ahead of the United Nations’ first Global Dialogue on AI Governance. The coalition argues that governments should require technology companies to prove their AI systems are safe for children before they are made publicly available.

The organisations said artificial intelligence is already affecting children in harmful ways and that current regulations often respond only after damage has occurred.

Leanda Barrington-Leach, executive director of the 5Rights Foundation, said children are not opposed to technological progress but want stronger safeguards in place before products reach the market.

“They aren’t asking us to block AI innovation, but it shouldn’t be a case of cleaning up the mess after harm has happened either,” she said.

The statement comes as legal challenges involving AI companies continue to grow. Firms including Character Technologies and OpenAI have faced lawsuits over allegations that AI-powered chatbots, particularly “companion” bots designed to simulate emotional relationships, can negatively affect children. Some claims also argue that these products have been presented as suitable for younger users without sufficient warnings about potential risks.

The coalition believes governments should focus on the commercial incentives that encourage companies to prioritise rapid product development and user engagement over safety.

Among the recommendations are mandatory safety assessments before AI products are released, financial penalties for companies whose systems violate children’s rights, bans on design features that exploit children’s psychological vulnerabilities, and restrictions on the commercial use of children’s images, voices and biometric data.

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The organisations maintain that governments do not need entirely new legislation to introduce these protections. Instead, they argue that countries should enforce commitments already made under international agreements, including the UN Convention on the Rights of the Child and the Global Digital Compact, which outlines principles for protecting human rights in the digital environment.

Barrington-Leach said stronger accountability is needed to change how AI products are developed and marketed.

“As long as companies are rewarded for speed, engagement and data extraction rather than safety, we’ll keep treating the symptoms while the disease becomes endemic,” she said. She added that respecting children’s rights should become a fundamental requirement for technology companies rather than a voluntary commitment.

The United Nations’ inaugural Global Dialogue on AI Governance is expected to bring together government representatives, technology companies, researchers and civil society organisations to discuss international standards for artificial intelligence. Child safety is likely to be one of the key topics as policymakers seek to balance technological innovation with stronger protections for vulnerable users.

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Study Says EU Regulations Are Slowing Rollout of Advanced AI Models

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A new study by Governance.AI has found that European Union regulations are delaying the rollout of advanced artificial intelligence models, with technology companies increasingly pointing to the bloc’s regulatory framework as a key obstacle to launching new AI products in Europe.

The report examined 375 large language models (LLMs) released between June 2018 and May 2026, comparing their availability across the United States, the European Union and the United Kingdom. According to the findings, at least 11 percent of advanced AI model releases were either delayed or never launched in the EU compared with the United States. In the UK, the figure stood at 7 percent.

Researchers said they identified 68 cases in which AI models experienced delays or were withheld from specific markets. Regulatory factors were cited as the primary reason in 56 of those cases, making them the most common cause of restricted availability.

The study reviewed releases from major AI developers, including Meta, Google, OpenAI and Anthropic. Meta recorded the highest proportion of delayed or unavailable releases, with 26 percent of its AI models delayed or withheld in the EU and 15 percent in the UK. Anthropic’s Claude 3 Opus was highlighted as one example, with its web application arriving in the EU 71 days later than in the United States.

According to the report, data protection rules have emerged as the biggest regulatory hurdle, particularly for AI systems capable of processing images, audio and real-time video rather than text alone.

The researchers argued that uncertainty surrounding the application of the General Data Protection Regulation (GDPR) to AI model training and deployment has created additional challenges for developers. They also said enforcement of data protection rules has generally been stricter within the EU than in the UK, despite both jurisdictions sharing similar legal foundations following the adoption of the GDPR before Britain’s exit from the bloc.

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The report noted that the full impact of newer legislation, including the Digital Markets Act, which began taking effect in 2023, and the Artificial Intelligence Act, adopted in 2024, has yet to be fully reflected in the data.

At the same time, the European Union is reviewing proposals aimed at making data rules more practical for AI development through its Digital Omnibus initiative. Lawmakers are also considering changes to copyright legislation and the AI Act’s copyright provisions to strengthen protections for creators, measures that researchers say could affect future AI model availability if implemented too strictly.

John Lidiard, a UK AI policy researcher and one of the report’s authors, said policymakers should consider the impact that regulatory barriers can have on businesses and consumers seeking access to the latest AI technologies. He said balancing innovation with effective oversight would remain a key challenge as governments continue to develop AI regulations.

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French Startups Face Political Uncertainty as AI Reshapes Innovation Landscape

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France’s startup ecosystem is undergoing a period of rapid change, driven by the rise of artificial intelligence and growing concerns about the country’s political future, according to new figures released by startup incubator Station F as it marks its ninth anniversary.

The Paris-based campus, regarded as the world’s largest startup incubator, has supported more than 9,000 startups since opening in 2017. Companies that emerged from the hub include Hugging Face, Pasqal and Pollen Robotics.

New data from Station F shows artificial intelligence has become a dominant force among resident startups. This year, the incubator launched its F/AI programme, attracting major AI firms, including Mistral AI.

According to the survey, 77 percent of startups said AI tools have reduced their hiring needs. Despite that, 82 percent reported they are either actively recruiting or expect to hire employees in the coming months.

One of the most widely used AI tools among startups at the campus is Anthropic’s Claude model, now used by 90 percent of teams. The result marks a major shift from last year when OpenAI held the leading position among AI providers at the incubator.

AI-related acquisitions have also become increasingly common. Earlier this year, cloud computing startup Koyeb was acquired by Mistral AI. Previous deals included the acquisition of Pollen Robotics by Hugging Face, reflecting continued consolidation within the sector.

The profile of startup founders is also changing. Station F reported that the average founder is now 36.5 years old, compared with 31 in 2018. Around 20 percent hold doctoral degrees, suggesting that technical expertise is playing a larger role in attracting investment and building companies.

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The report also found that startup ambitions have shifted. Half of founders expect their businesses to end in acquisitions rather than public listings. Only 9 percent believe their companies will eventually launch an initial public offering, down from 16 percent a year earlier.

International talent remains a key feature of the campus. Roughly one-third of residents come from outside France, with more than 60 nationalities represented. After France, the largest foreign groups come from the United States, Morocco, Germany, the United Kingdom, Algeria and India.

Despite continued growth, political uncertainty has emerged as a significant concern. More than half of founders surveyed said France’s upcoming presidential election is among their biggest worries. Nearly half expressed concern about a possible far-right victory, while about a quarter were worried about a far-left outcome.

Many entrepreneurs cited immigration policy as a major issue, warning that tighter visa rules could make it harder to attract global talent and build internationally competitive businesses.

The findings highlight a startup sector that remains innovative and internationally connected, but increasingly focused on the political environment shaping its future.

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