CPU Demand Surges as AI Inference Drives Market to $200B

The shift from AI training to inference and agentic workloads is redefining the role of the CPU, transforming it from a general-purpose workhorse into the system orchestration hub of AI factories—sparking explosive demand that has sent market forecasts soaring. AMD CEO Lisa Su recently raised the 2030 server CPU total addressable market (TAM) projection to over $120 billion, Citi pegged it at $131.5 billion, and NVIDIA upped the ante by claiming its Vera CPU opens a $200 billion opportunity. These estimates have doubled within months from a baseline of $60 billion, driven by a fundamental rebalancing of CPU-to-GPU ratios—shifting from 1:8 to as high as 4:1 in some agentic workloads—and a reshaped competitive landscape where AMD now holds a 46.2% revenue share, Intel counters with its 18A process, NVIDIA enters CPU territory with Vera, and Arm unveils an AGI chip. The analysis is clear: CPUs are no longer support actors; they are the order-keeping core of AI infrastructure, and the battle has escalated from individual silicon to full-stack, system-level platforms.