Logged On, Worn Out: The Rise of AI Fatigue

A new kind of workplace burnout is showing up, and it has less to do with long hours than with the tools meant to make work easier. Researchers are calling it “AI brain fry”: a mix of mental fog, slower decision-making and exhaustion that compounds after a day spent prompting AI tools and double-checking what they produce.

A 2026 study published in Harvard Business Review found that employees with heavy AI oversight responsibilities reported 12% more mental fatigue and 19% more information overload than coworkers who used AI more sparingly. An eight-month University of California, Berkeley study showed that AI rarely gave time back to workers. Instead, it expanded what felt possible in a day, thereby stretching workloads and shrinking focused work.

AI can draft an email in seconds, but a person still must read it, edit it, verify it and decide whether to trust it. That supervising work is quietly taxing, especially when it replaces longer stretches of concentration with quick bursts of checking and switching.

Some habits worth trying this month:

Use AI in shorter, defined windows. Closing the tab between sessions cuts down on reflexive use.

Carve out a daily focus block of an hour or two with no screen and no AI assistant. Sustained thinking needs uninterrupted time.

Take breaks that are actually breaks. A walk outside or a few minutes away from your desk does more for your head than scrolling on your phone.

Pay attention to how you feel at the end of the day. Feeling foggy or unusually tired after a heavy AI day? That’s a signal. Treat it as one and rest.

The tools are not going away. How you use them, and when you put them down, is up to you.

Sources:
“When Using AI Leads to ‘Brain Fry,'” Harvard Business Review, hbr.org, March 5, 2026.
“AI Promised Supreme Productivity, but It’s Actually Straining Workloads for Employees,” Fortune, fortune.com, March 13, 2026.