The sexiest story in American work culture right now isn’t that AI will take your job. The point is that the AI will save you from that.
That’s the version the industry has spent the last three years selling to millions of nervous people who want to buy it. Yes, some white collar workers will disappear. But for most other roles, the argument goes, AI is a force multiplier. You’ll become a more capable, indispensable lawyer, consultant, writer, coder, financial analyst—and so on. The tools work for you, you work less hard, everyone wins.
But a new study published in the Harvard Business Review follows that premise to its true conclusion, and what it finds isn’t a revolution in productivity. He finds that companies are in danger of becoming burnout machines.
As part of what they describe as “ongoing research,” UC Berkeley researchers spent eight months at a 200-person tech company and observed what happened when employees actually adopted AI. During more than 40 “in-depth” interviews, they found that no one was pressured in this company. No one was told to hit new targets. People just started doing more because the tools made it feel more doable. But because they could do these things, work began to bleed into lunch breaks and late evenings. The staff’s to-do lists expanded to fill every hour the AI freed up, and then moved on.
As one engineer told them, “You thought maybe, oh, because you could be more productive with AI, then you save some time, you can work less. But you’re not actually working less. You’re just working the same or even more.”
On the tech industry forum Hacker News, one commenter had the same reaction, writing: “I can feel it. Ever since my team switched to an AI style where everything works, expectations have tripled, stress has tripled, and actual productivity is only up maybe 10%. It seems like there’s a lot of pressure from management on everyone to prove their investment in AI is worth more, and we all feel the pressure to try show work.”
It’s fascinating and also alarming. The argument about AI and jobs has always come down to the same question – are the gains real? But too few people have stopped and asked what happens when they are.
Techcrunch event
Boston, MA
|
June 23, 2026
The new findings of scientists are not entirely new. In a separate test last summer, it was found that experienced developers using AI tools took 19% longer to complete tasks while they believed they were 20% faster. Around the same time, a study by the National Bureau of Economic Research tracking the adoption of artificial intelligence in thousands of workplaces found that productivity gains achieved only a 3% time savings, with no significant impact on earnings or hours worked in any occupation. Both studies were separated.
This may be harder to dismiss because it doesn’t challenge the premise that AI can augment what employees can do themselves. It confirms this and then shows where all that increase is actually leading, which the researchers say is “fatigue, burnout, and a growing sense that it’s harder to step away from work, especially when organizational expectations for speed and responsiveness.”
The industry has bet that helping people do more will be the answer to everything. It may turn out to be the start of a whole other problem.