'AI Brain Fry' Is Making Workers More Exhausted and Less Productive, New Study Suggests
'AI Brain Fry' Is Making Workers More Exhausted and Less Productive, New Study Suggests
Escher WalcottWed, March 11, 2026 at 4:56 PM UTC
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Stock photo of a businessman sitting at an office deskCredit: Getty
• A new study has suggested that U.S. workers experience mental fatigue called 'AI brain fry' from excessive use of AI tools at work• Workers in marketing reported the highest levels of AI-related exhaustion, while legal professionals reported the lowest
• Symptoms include headaches, mental fog and slower decision-making, leading to errors and increased intention to quit
A new study has claimed that some U.S. workers are suffering from “AI brain fry” after using AI tools at work.
According to a study conducted on 1,488 full-time workers in the U.S. and published in the Harvard Business Review, AI tools that are used to make work systems easier to manage are actually making some workers mentally exhausted, developing what researchers are calling "AI brain fry.”
The study found that "AI brain fry," defined as “mental fatigue from excessive use or oversight of AI tools beyond one’s cognitive capacity,” occurred when workers became overwhelmed with juggling and monitoring complex AI systems, creating “information overload.”
“The workers in our study who reported that their AI work required high rather than low degrees of oversight expended 14% more mental effort on the job,” per the study. “A high degree of AI oversight also predicted 12% more mental fatigue for participants.”
Stock image of a woman appearing stressed while sitting at a deskCredit: Getty
All the participants in the study worked at large companies, and 51% of them identified as female and 48% as male.
Study participants reported having headaches and a “buzzing” feeling or mental fog, causing them to lose focus at work and make slower decisions, according to the study.
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The study results showed that those working in marketing had the most reports of "AI brain fry" at 25.9%, with human resources and operational jobs following behind them, respectively. Workers in legal jobs had the least recorded amount, with just 5.6%.
“This AI-associated mental strain carries significant costs in the form of increased employee errors, decision fatigue, and intention to quit,” per the study.
The HBR described "AI brain fry" as "both real and significant."
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Stock image of a woman working at a deskCredit: Getty
Francesco Bonacci, a software engineer at Microsoft who has gone on to found Cua AI, described the effects of using AI tools in his job as “vibe-coding paralysis” in a post on X last month.
“I end each day exhausted — not from the work itself, but from the managing of the work. Six worktrees open, four half-written features, two ‘quick fixes’ that spawned rabbit holes, and a growing sense that I'm losing the plot entirely,” wrote Bonacci.
“None [of the AI tools] really work. Because the problem isn't tooling — it's us. We've discovered a new failure mode. One that the productivity discourse never warned us about," he continued.
“For decades, the friction of coding was a forcing function. Writing code was slow, so you had to be deliberate … The limitation was actually a gift — it forced prioritization,” Bonnacci continued. “Now that friction is gone …. The tooling actively encourages parallelization. And we haven't developed the new muscles to operate without the old constraints."
on People
Source: “AOL Money”
