Over the past year, I’ve repeatedly heard AI builders say things like: AI needs a new economic model. The current labor economy doesn’t work if intelligence becomes abundant. The bottleneck will become energy and compute, not labor. At first, I thought these were entirely new ideas. Then I came across Frederick Soddy. Soddy was a Nobel-winning chemist who argued nearly 100 years ago that economics had become disconnected from physics. His core argument was simple: Wealth comes from energy, not money. Money and debt can grow infinitely on paper. Real wealth cannot. It is constrained by energy and physical reality. Now think about AI. AI doesn’t work for wages. It doesn’t buy products. It doesn’t consume. It consumes: electricity compute data centers cooling semiconductors And produces: code analysis decisions cognitive labor The industrial economy looked like: Energy → Human labor → Output The AI economy increasingly looks like: Energy → Compute → Intelligence → Output This is partly why companies building frontier AI are suddenly talking about: nuclear power electricity shortages GPU supply data centers grid infrastructure Several AI leaders, including Sam Altman, have openly discussed energy as a limiting factor for AI. Dario Amodei has argued that AI could eventually become extraordinarily abundant if compute continues scaling. Maybe AI isn’t just a software revolution. Maybe it’s an energy revolution disguised as a software revolution. And perhaps Soddy’s biggest insight wasn’t about money. It was that economics ultimately has to obey physics. Curious whether this analogy resonates with others or if I’m stretching the connection too far. submitted by /u/ExcellentBandicoot57
Originally posted by u/ExcellentBandicoot57 on r/ArtificialInteligence