AI Promised to Save Time—Instead It’s Created a New Kind of Burnout

A brand new research revealed in Harvard Enterprise Assessment this week confirmed what many employees already suspected: AI instruments do not scale back work, they intensify it.

The research cited knowledge from UC-Berkeley and Yale, collected throughout eight months of embedded analysis at a 200-person tech firm, the place workers voluntarily adopted AI instruments.

The outcomes confirmed distinct patterns of labor intensification that quietly snowballed into what researchers name “workload creep.”



First got here job enlargement. Product managers started writing code. Researchers took on engineering work. Roles that after got here with clear boundaries blurred as employees dealt with jobs that beforehand sat exterior their remit. AI made that shift really feel possible.

“You had thought that possibly, ‘oh, since you may very well be extra productive with AI, then you definately save a while, you may work much less,'” one engineer advised researchers. “However then, actually, you don’t work much less. You simply work the identical quantity or much more.”

This created a ripple impact. Engineers all of the sudden discovered themselves reviewing, correcting, and training colleagues who have been, as one participant completely described it, vibe-coding.

The one who automated a part of their job simply created extra work for another person.

Second got here blurred boundaries. AI’s conversational interface made beginning work really feel easy—no clean web page paralysis, no intimidating studying curve.

So employees began sending “fast final prompts” earlier than leaving their desks, letting AI deal with chores whereas they stepped away. Many even used AI prompts throughout their free time, to the purpose that AI use for work in non-work hours amassed into hours and days with fewer pure pauses.

Third got here a surge in multitasking. Staff have been anticipated to handle a number of workstreams concurrently, as AI appeared that duties may very well be dealt with within the background.

The promised productiveness beneficial properties usually translated into fixed attention-switching and longer job lists.

Put all of it collectively, and also you get what researchers outline as a self-reinforcing cycle by which AI makes issues simpler, so employees do extra of these issues, which finally ends up making them rely extra on AI to make these issues simpler. Rinse, repeat, burnout.

“A number of contributors famous that though they felt extra productive, they didn’t really feel much less busy, and in some circumstances felt busier than earlier than,” the researchers word.

Working within the AI Period

Employees are slowly being laid off, and those that stay are simply being stretched to the purpose of burnout.

A brand new DHR International survey of 1,500 company professionals discovered 83% experiencing burnout, with overwhelming workloads and extreme hours as the highest culprits.

Again in 2024, the Upwork Analysis Institute reported that 77% of workers utilizing AI mentioned these instruments had decreased their productiveness and elevated their workload.

This yr, the identical institute reported that probably the most in-demand expertise over the previous few months have been associated to AI.

The Berkeley researchers emphasize that this work enlargement would possibly look productive within the quick time period, however might give solution to cognitive fatigue, weakened decision-making, and ultimately turnover as employees notice their workload has grown whereas they have been busy experimenting with ChatGPT.

Their resolution: firms want an “AI apply,” or intentional norms round AI use.

Suppose structured pauses earlier than main choices, sequencing work to cut back context-switching, and defending time for precise human connection.

“With out such practices, the pure tendency of AI-assisted work just isn’t contraction however intensification, with implications for burnout, resolution high quality, and long-term sustainability,” the researchers concluded.

The info additionally confirmed a pointy hole by seniority. Burnout was reported by 62% of associates and 61% of entry-level employees, versus 38% amongst C-suite leaders.