In an age when AI lurks behind every new announcement, fears of mass unemployment loom large. But a little-known economic insight from the 19th century—the Jevons Paradox—may flip that narrative. It posits that improved efficiency can spur overall demand rather than suppress it. In today’s AI world, automation could unlock new workloads, fresh industries, and evolving job roles instead of mass displacement. Yet this growth comes with tensions—rising resource consumption, skill mismatches, and inequality. This article deconstructs how AI’s efficiency