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.
More from AGI Musings
- 'AGI is here' vs reality: AI labs still ship some of the jankiest desktop apps ever — MilesCranmer · 2026-09-11
- Researcher quits Anthropic, says OpenAI and Anthropic are gambling lives racing to self-improving superintelligence — davidmanheim · 2026-09-11
- Misquoted: Anthropic Staff Warned of Double-Digit Extinction Risk by 2030, Not Dismissed It — davidmanheim · 2026-09-11
- Economist Ben Moll: You Can Model Anthropic's 15% AI GDP Growth, But It Won't Happen — sebkrier · 2026-09-11
- Cohere Labs launches interactive tool mapping which tasks of 178 occupations AI can automate — Cohere_Labs · 2026-09-11
- AI researcher on SkyNews flags concerns over inequality, power and criminal misuse — schwarzjn_ · 2026-09-11