A new study reveals that extensive workplace use of artificial intelligence is causing a phenomenon termed “AI brain fry,” leading to mental fatigue among employees. The research, involving 1,500 US workers, found that 14% experienced cognitive strain, resulting in increased errors and a higher intent to quit their jobs. While AI can reduce burnout by automating routine tasks, its overuse or poor implementation is intensifying work pressures for many.
A study of nearly 1,500 full-time US workers found 14% experienced “AI brain fry,” defined as mental fatigue from excessive AI use. Respondents reported symptoms like a mental “fog,” headaches, and slower decision-making.
Workers using AI tools report the technology is “intensifying rather than simplifying work,” according to researchers. The constant toggling between multiple AI agents can make multitasking a defining feature of the workday.
Marketing and HR workers reported the highest levels of this AI-induced strain. AI companies have promoted their products as productivity boosters for offloading workloads.
Coinbase CEO Brian Armstrong has said he fired engineers who refused to use AI. The exchange set a goal last year for AI to generate half of its code.
This mental strain carries significant costs through increased employee errors and decision fatigue. Those with AI brain fry were 40% more likely to have an active intent to quit their jobs.
They also self-reported making nearly 40% more major errors than unaffected colleagues. A major error was defined as one with serious consequences for safety or outcomes.
However, using AI to replace repetitive tasks actually decreased employee burnout. Workers who automated routine work reported 15% lower burnout levels.
Researchers advise company leaders to clearly define AI’s purpose within the organization. They also recommend measuring outcomes rather than the quantity of AI use.
