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Home Technology News

The primary indicators of burnout are coming from the individuals who embrace AI essentially the most

Jane Doe by Jane Doe
February 10, 2026
in Technology News
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The first signs of burnout are coming from the people who embrace AI the most
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Probably the most seductive narrative in American work tradition proper now isn’t that AI will take your job. It’s that AI will prevent from it.

That’s the model the business has spent the final three years promoting to thousands and thousands of nervous people who find themselves keen to purchase it. Sure, some white-collar jobs will disappear. However for many different roles, the argument goes, AI is a power multiplier. You turn out to be a extra succesful, extra indispensable lawyer, advisor, author, coder, monetary analyst — and so forth. The instruments give you the results you want, you’re employed much less onerous, all people wins.

However a new study revealed in Harvard Enterprise Evaluation follows that premise to its precise conclusion, and what it finds there isn’t a productiveness revolution. It finds firms are prone to turning into burnout machines.

As a part of what they describe as “in-progress analysis,” UC Berkeley researchers spent eight months inside a 200-person tech firm watching what occurred when employees genuinely embraced AI. What they discovered throughout greater than 40 “in-depth” interviews was that no one was pressured at this firm. No person was instructed to hit new targets. Folks simply began doing extra as a result of the instruments made extra really feel doable. However as a result of they may do these items, work started bleeding into lunch breaks and late evenings. The workers’ to-do lists expanded to fill each hour that AI freed up, after which stored going.

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

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Over on the tech business discussion board Hacker Information, one commenter had the same reaction, writing, “I really feel this. Since my workforce has jumped into an AI all the things working fashion, expectations have tripled, stress has tripled and precise productiveness has solely gone up by possibly 10%. It looks like management is placing immense strain on everybody to show their funding in AI is value it and all of us really feel the strain to attempt to present them it’s whereas really having to work longer hours to take action.”

It’s fascinating and in addition alarming. The argument about AI and work has at all times stalled on the identical query — are the positive aspects actual? However too few have stopped to ask what occurs when they’re.

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June 23, 2026

The researchers’ new findings aren’t completely novel. A separate trial final summer time discovered skilled builders utilizing AI instruments took 19% longer on tasks whereas believing they had been 20% sooner. Across the identical time, a Nationwide Bureau of Financial Analysis research monitoring AI adoption throughout 1000’s of workplaces discovered that productiveness positive aspects amounted to just 3% in time savings, with no important influence on earnings or hours labored in any occupation. Each research have gotten picked aside.

This one could also be tougher to dismiss as a result of it doesn’t problem the premise that AI can increase what workers can do on their very own. It confirms it, then exhibits the place all that augmentation really leads, which is “fatigue, burnout, and a rising sense that work is tougher to step away from, particularly as organizational expectations for velocity and responsiveness rise,” in line with the researchers.

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The business guess that serving to individuals do extra can be the reply to all the things, however it could change into the start of a distinct downside completely. The analysis is value studying, here.

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Jane Doe

Jane Doe

Jane Doe is the founding editor of Spectator Daily. Before launching this platform, she worked as a Technical Writer, where her primary responsibility was translating dense engineering documentation into clear manuals for end-users. This background in structured communication taught her the importance of precision and the dangers of ambiguity.

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