Interesting research in HBR today about how the productivity boost you can get from AI tools can lead to burnout or general mental exhaustion, something I've noticed in my own work https://simonwillison.net/2026/Feb/9/ai-intensifies-work/
AI Doesn’t Reduce Work—It Intensifies It

Aruna Ranganathan and Xingqi Maggie Ye from Berkeley Haas School of Business report initial findings in the HBR from their April to December 2025 study of 200 employees at a …

Simon Willison’s Weblog
AI Doesn’t Reduce Work—It Intensifies It

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.

Harvard Business Review
@simon the theme from the article that stands out to me is that the initial successes organizations have seen from workers using LLMs has come (at least in part) from invisible labor: longer hours, multiple hats, and shifted labor.

@thzinc @simon and that the quantity of work went up, but reading between the lines it sounds like the quality went down. I say this because people using LLMs to do things that professionals in a particular field would do almost invariably gets a result of a lesser quality.

Maybe that doesn't matter. But I strongly suspect it does.