The Automation Paradox: Why AI Tools May Increase Developer Demand

This article applies Jevons Paradox—where increased efficiency paradoxically raises total consumption—to software development. As AI agents lower the cost of writing code, organizations may unlock latent demand for software projects previously deemed unaffordable, potentially requiring more developers rather than fewer. Historical precedent from PC, internet, and cloud computing eras demonstrates that technological breakthroughs tend to expand markets rather than contract them.