Coding Agents Will Amplify Knowledge Work Demand
inductionheads · x · 2026-07-12
The discussion revolves around the "Jevons Paradox": merely understanding it as a growth in software demand during the agentic engineering era might miss its broader implications for knowledge work.
The core argument is that as humans become better at using coding agents and these agents push beyond programming to impact broader knowledge work, the decrease in unit labor costs will actually drive up total demand and the need for higher-quality knowledge. The author uses this to respond to a quote from Sam Altman—so far, AI appears to be a net job creator, and this trend is likely to extend further into the future.
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