The Human Cost of 10x AI Productivity by Denis Stetskov
They found three mechanisms of “workload creep.” Task expansion: everyone’s scope inflates because AI makes it possible to do more. Blurred boundaries: AI prompting happens during lunch, commute, evenings. Implicit pressure: when colleagues visibly do more with AI, expectations rise for everyone.
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The mechanism is asymmetric. When I write code, I externalize a mental model that already exists. The thinking is done before the typing starts. When I review AI-generated code, I have to reverse-engineer somebody else’s reasoning out of an artifact produced by a system that has no idea what our business does. Fundamentally harder.
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I have been thinking about this a bunch these past few days and had a few micro posts on this - Human cost of 10x productivity was a recent one. So this talk felt timely.