A study 1,488 workers who use AI tools showed some interesting results

Partícipants saw increased mental fatigue especially after using 3+ AI tools and having to oversee multiple AI agents. However they saw reduced burnout thanks to automating repetitive tasks.

I’ve argued being a manager is the best preparation for being a worker in a world of supervising AI agents instead of doing the work by hand. Now backed up with research.

https://hbr.org/2026/03/when-using-ai-leads-to-brain-fry

When Using AI Leads to “Brain Fry”

As firms increasingly incentivize employees to build and oversee complex teams of agents—for example, by measuring and rewarding token consumption as a proxy for performance—people are finding themselves pushed to their cognitive limits. Participants in a recent study described a “buzzing” feeling or a mental fog with difficulty focusing, slower decision-making, and headaches. The authors call this phenomenon “AI brain fry,” defined as mental fatigue from excessive use or oversight of AI tools beyond one’s cognitive capacity. This AI-associated mental strain carries significant costs in the form of increased employee errors, decision fatigue, and intention to quit. The findings also show how AI-driven workflows can be designed to diminish burnout and point toward specific manager, team, and organizational practices to avoid mental fatigue even as AI work intensifies.

Harvard Business Review
@carnage4life Now I'm wondering how different "Mental fatigue" and "Burnout" are.

@dportalesr @carnage4life This is exactly my question! The article says "Burnout measures typically focus on the physical and emotional dimensions of distress. (E.g., “Is your work emotionally exhausting?”) Acute mental fatigue, on the other hand, is caused by marshalling attention, working memory, and executive control beyond the limited capacity of these systems. This is exactly what intensive AI oversight requires."

I experience constant metal fatigue as a precursor to burnout