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It’s that AI will save you from it. That’s the version the industry has spent the last three years selling to millions of nervous people who are eager to buy it. Yes, some white-collar jobs will disappear. But for most other roles, the argument goes, AI is a force multiplier. You become a more capable, more indispensable lawyer, consultant, writer, coder, financial analyst — and so on. The tools work for you, you work less hard, everybody wins.     But a (https://hbr.org/2026/02/ai-doesnt-reduce-work-it-intensifies-it) new study published in Harvard Business Review follows that premise to its actual conclusion, and what it finds there isn’t a productivity revolution. It finds companies are at risk of becoming burnout machines. As part of what they describe as “in-progress research,” UC Berkeley researchers spent eight months inside a 200-person tech company watching what happened when workers genuinely embraced AI. What they found across more than 40 “in-depth” interviews was that nobody was pressured at this company. Nobody was told to hit new targets. People just started doing more because the tools made more feel doable. But because they could do these things, work began bleeding into lunch breaks and late evenings. The employees’ to-do lists expanded to fill every hour that AI freed up, and then kept going. As one engineer told them, “You had thought that maybe, oh, because you could be more productive with AI, then you save some time, you can work less. But then really, you don’t work less. You just work the same amount or even more.” Over on the tech industry forum Hacker News, one commenter had the (https://news.ycombinator.com/item?id=46945755) same reaction , writing, “I feel this. Since my team has jumped into an AI everything working style, expectations have tripled, stress has tripled and actual productivity has only gone up by maybe 10%. It feels like leadership is putting immense pressure on everyone to prove their investment in AI is worth it and we all feel the pressure to try to show them it is while actually having to work longer hours to do so.” It’s fascinating and also alarming. The argument about AI and work has always stalled on the same question — are the gains real? But too few have stopped to ask what happens when they are.    Techcrunch event Save up to $300 or 30% to TechCrunch Founder Summit 1,000+founders and investors come together at TechCrunch Founder Summit 2026 for a full day focused on growth, execution, and real-world scaling. Learn from founders and investors who have shaped the industry. Connect with peers navigating similar growth stages. Walk away with tactics you can apply immediately.Offer ends March 13.  Save up to $300 or 30% to TechCrunch Founder Summit 1,000+founders and investors come together at TechCrunch Founder Summit 2026 for a full day focused on growth, execution, and real-world scaling. Learn from founders and investors who have shaped the industry. Connect with peers navigating similar growth stages. Walk away with tactics you can apply immediatelyOffer ends March 13.   Boston, MA | June 9, 2026  (https://techcrunch.com/events/techcrunch-founder-summit-2026/?utm_source=tc&utm_medium=ad&utm_campaign=tcfoundersummit2026&utm_content=seb&promo=tc_inline_seb&display=) REGISTER NOW       The researchers’ new findings aren’t entirely novel. A separate trial last summer found experienced developers using AI tools took (https://metr.org/blog/2025-07-10-early-2025-ai-experienced-os-dev-study/) 19% longer on tasks while believing they were 20% faster. Around the same time, a National Bureau of Economic Research study tracking AI adoption across thousands of workplaces found that productivity gains amounted to (https://www.nber.org/papers/w33777) just 3% in time savings , with no significant impact on earnings or hours worked in any occupation. Both studies have gotten picked apart. This one may be harder to dismiss because it doesn’t challenge the premise that AI can augment what employees can do on their own. It confirms it, then shows where all that augmentation actually leads, which is “fatigue, burnout, and a growing sense that work is harder to step away from, especially as organizational expectations for speed and responsiveness rise,” according to the researchers. The industry bet that helping people do more would be the answer to everything, but it may turn out to be the beginning of a different problem entirely. The research is worth reading, (https://hbr.org/2026/02/ai-doesnt-reduce-work-it-intensifies-it) here .  Topics (https://techcrunch.com/category/artificial-intelligence/) AI ,  (https://techcrunch.com/tag/ai-industry/) ai industry       (https://www.facebook.com/sharer.php?u=https%3A%2F%2Ftechcrunch.com%2F2026%2F02%2F09%2Fthe-first-signs-of-burnout-are-coming-from-the-people-who-embrace-ai-the-most%2F)    (https://twitter.com/intent/tweet?url=https%3A%2F%2Ftechcrunch.com%2F2026%2F02%2F09%2Fthe-first-signs-of-burnout-are-coming-from-the-people-who-embrace-ai-the-most%2F&text=The+first+signs+of+burnout+are+coming+from+the+people+who+embrace+AI+the+most&via=techcrunch)    (https://www.linkedin.com/shareArticle?url=https%3A%2F%2Ftechcrunch.com%2F2026%2F02%2F09%2Fthe-first-signs-of-burnout-are-coming-from-the-people-who-embrace-ai-the-most%2F&title=The+first+signs+of+burnout+are+coming+from+the+people+who+embrace+AI+the+most&summary=Because+employees+could+do+more%2C+work+began+bleeding+into+lunch+breaks+and+late+evenings.+The+employees%27+to-do+lists+expanded+to+fill+every+hour+that+AI+freed+up%2C+and+then+kept+going.&mini=1&source=TechCrunch)    (https://www.reddit.com/submit?url=https%3A%2F%2Ftechcrunch.com%2F2026%2F02%2F09%2Fthe-first-signs-of-burnout-are-coming-from-the-people-who-embrace-ai-the-most%2F&title=The+first+signs+of+burnout+are+coming+from+the+people+who+embrace+AI+the+most)    (mailto:?subject=The+first+signs+of+burnout+are+coming+from+the+people+who+embrace+AI+the+most&body=Article%3A+https%3A%2F%2Ftechcrunch.com%2F2026%2F02%2F09%2Fthe-first-signs-of-burnout-are-coming-from-the-people-who-embrace-ai-the-most%2F)    (https://techcrunch.com/2026/02/09/the-first-signs-of-burnout-are-coming-from-the-people-who-embrace-ai-the-most/)       (Connie Loizos)  Connie Loizos  Editor in Chief & General Manager   (http://twitter.com/Cookie)  (https://bsky.app/profile/connieloizos.bsky.social)  (http://www.linkedin.com/pub/connie-loizos/0/282/380)  (https://techcrunch.com/)      Loizos has been reporting on Silicon Valley since the late ’90s, when she joined the original Red Herring magazine. Previously the Silicon Valley Editor of TechCrunch, she was named Editor in Chief and General Manager of TechCrunch in September 2023. She’s also the founder of StrictlyVC, a daily e-newsletter and lecture series acquired by Yahoo in August 2023 and now operated as a sub brand of TechCrunch. You can contact or verify outreach from Connie by emailing (mailto:connie@strictlyvc.com) connie@strictlyvc.com or (mailto:connie@techcrunch.com) connie@techcrunch.com , or via encrypted message at ConnieLoizos.53 on Signal.   (https://techcrunch.com/author/connie-loizos/) View Bio              (Event Logo) October 13-15 San Francisco, CA  Save up to $680 on your pass before February 27. Meet investors. Discover your next portfolio company. Hear from 250+ tech leaders , dive into 200+ sessions , and explore 300+ startups building what’s next. Don’t miss these one-time savings. 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