Stop thinking of AI data centers as compute systems

AI infrastructure should be treated as data systems, not compute systems. Data compounds continuously with every training run and inference, while compute remains episodic and reusable. This shift changes how large-scale AI environments must be designed, operated, and scaled for sustained business value.