Every layer of the AI infrastructure stack is constrained: energy production, physical data centers, turbines (sold out 4 years), transformers, HVAC cooling, GPUs, memory chips, and rare earth materials. The consequence is that the AI products available today are dumber than they need to be — not because of algorithm limits but because there aren't enough chips and power to train better models.