A new study published in the Harvard Business Review reveals that the excessive use and oversight of artificial intelligence (AI) in the workplace is causing significant mental fatigue, termed "AI brain fry," among employees. Researchers from Boston Consulting Group and the University of California, Riverside, found that 14% of nearly 1,500 surveyed full-time U.S. workers reported experiencing this condition, defined as mental fatigue resulting from interaction with AI tools beyond one's cognitive capacity.
Respondents described symptoms including a "mental hangover," brain fog, headaches, slower decision-making, and difficulty focusing. The study found that workers in marketing and human resources reported the highest levels of this AI-induced strain. Critically, those experiencing brain fry reported 33% more decision fatigue, were around 40% more likely to intend to quit their jobs, and self-reported making nearly 40% more major errors with serious consequences.
The research challenges the narrative that AI purely boosts productivity, noting that for many, it intensifies work through constant task-switching and managing multiple AI agents. "Contrary to the promise of having more time to focus on meaningful work, juggling and multitasking can become the definitive features of working with AI," the researchers wrote.
In a related industry example, Coinbase CEO Brian Armstrong has been a vocal proponent of aggressive AI adoption, having reportedly fired engineers resistant to using AI and setting a goal for AI to generate half of the crypto exchange's code by late last year. This corporate mandate exemplifies the high-pressure implementation the study warns against, where AI use can become a performance metric leading to waste and strain.
The study concludes that to mitigate AI brain fry, company leaders must clearly define AI's purpose, redesign workflows to reduce tool fragmentation and oversight burden, and focus on measurable outcomes rather than incentivizing sheer quantity of AI use.
