Two market trends are driving the need for a higher CPU:GPU ratio in AI infrastructure. First, the inferencing market is accelerating. A higher CPU:GPU ratio is required for inferencing compared to training, especially as agentic AI becomes prevalent. Second, Reinforcement Learning is now being used in complex 3D simulation environments that require a high number of CPUs. Together, these two trends demonstrate that CPUs play a strategic AI infrastructure asset, acting as the control plane for AI systems. Future AI infrastructure planning must explicitly model CPU growth as a first-class driver of cost, performance, and energy-per-token economics.