AI productivity could shift developer jobs

The author argues that while the Jevons paradox explains how increased efficiency in general-purpose technologies like coal and software drives a massive rise in overall consumption and output, its historical outcomes for workers vary. Examining historical examples like sewing machines, ATMs, and telephone operators, the author concludes that whether AI will increase or decrease developer employment depends on whether it acts as a productivity multiplier or completely replaces human tasks. Open article →