Dylan Patel Maps the Economics of an AI Compute Boom

Dylan Patel argues that frontier AI labs could command an increasing share of new global compute as model revenue rises, potentially pushing capacity prices and infrastructure investment sharply higher. The discussion cites projected gigawatt demand, supply-chain bottlenecks, and financing needs, but these are speaker estimates rather than independently verified forecasts. The stakes are whether AI value capture, physical capacity, and economic power concentrate around a small number of labs.