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<blockquote style="position: relative; padding-left: 55px;"><section><a href="https://follow.ethanmarcotte.com/users/beep/statuses/116041977621268570">Ethan Marcotte (beep@follow.ethanmarcotte.com)'s status on Tuesday, 10-Feb-2026 03:58:42 JST</a><a href="https://follow.ethanmarcotte.com/@beep" title="beep@follow.ethanmarcotte.com"><img src="https://gnusocial.jp/avatar/43568-48-20231115193855.webp" width="48" height="48" alt="Ethan Marcotte" style="position: absolute; left: 0; top: 0;">Ethan Marcotte</a></section><article><p>Whatever the output gains promised by LLMs, their initial productivity surge is erased over time, and replaced by heavier workloads—and that leads to workers experiencing “cognitive fatigue, burnout, and weakened decision-making.”</p><p>All this from research out of the notoriously pro-worker rag [checks notes] Harvard Business Review: <a href="https://hbr.org/2026/02/ai-doesnt-reduce-work-it-intensifies-it" rel="nofollow">https://hbr.org/2026/02/ai-doesnt-reduce-work-it-intensifies-it</a></p></article><footer><a rel="bookmark" href="https://gnusocial.jp/conversation/6139452#notice-12091409">In conversation</a><time datetime="2026-02-10T03:58:42+09:00" title="Tuesday, 10-Feb-2026 03:58:42 JST">about 4 months ago</time> <span>from <span><a href="https://follow.ethanmarcotte.com/@beep/116041977621268570" rel="external" title="Sent from follow.ethanmarcotte.com via ActivityPub">follow.ethanmarcotte.com</a></span></span><a href="https://follow.ethanmarcotte.com/@beep/116041977621268570">permalink</a><h4>Attachments</h4><ol><li><article><header><div>Domain not in remote thumbnail source whitelist: hbr.org</div><h5><a href="https://hbr.org/2026/02/ai-doesnt-reduce-work-it-intensifies-it">AI Doesn’t Reduce Work—It Intensifies It</a></h5><div> from <span>@harvardbiz</span></div></header><div>One of the promises of AI is that it can reduce workloads so employees can focus more on higher-value and more engaging tasks. But according to new research, AI tools don’t reduce work, they consistently intensify it: In the study, employees worked at a faster pace, took on a broader scope of tasks, and extended work into more hours of the day, often without being asked to do so. That may sound like a win, but it’s not quite so simple. These changes can be unsustainable, leading to workload creep, cognitive fatigue, burnout, and weakened decision-making. The productivity surge enjoyed at the beginning can give way to lower quality work, turnover, and other problems. To correct for this, companies need to adopt an “AI practice,” or a set of norms and standards around AI use that can include intentional pauses, sequencing work, and adding more human grounding.</div><footer></footer></article></li></ol></footer></blockquote>

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Ethan Marcotte (beep@follow.ethanmarcotte.com)'s status on Tuesday, 10-Feb-2026 03:58:42 JST Ethan Marcotte
Whatever the output gains promised by LLMs, their initial productivity surge is erased over time, and replaced by heavier workloads—and that leads to workers experiencing “cognitive fatigue, burnout, and weakened decision-making.”
All this from research out of the notoriously pro-worker rag [checks notes] Harvard Business Review: https://hbr.org/2026/02/ai-doesnt-reduce-work-it-intensifies-it
In conversationabout 4 months ago from follow.ethanmarcotte.compermalink
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  AI Doesn’t Reduce Work—It Intensifies It
  from @harvardbiz
  One of the promises of AI is that it can reduce workloads so employees can focus more on higher-value and more engaging tasks. But according to new research, AI tools don’t reduce work, they consistently intensify it: In the study, employees worked at a faster pace, took on a broader scope of tasks, and extended work into more hours of the day, often without being asked to do so. That may sound like a win, but it’s not quite so simple. These changes can be unsustainable, leading to workload creep, cognitive fatigue, burnout, and weakened decision-making. The productivity surge enjoyed at the beginning can give way to lower quality work, turnover, and other problems. To correct for this, companies need to adopt an “AI practice,” or a set of norms and standards around AI use that can include intentional pauses, sequencing work, and adding more human grounding.

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