Why is everyone suddenly talking about CPU demand and supply? For two years, the AI story was simple: GPUs sold out, memory exploded, everything else waited. That script just changed. Before focusing on anything else, read these points: 1. Intel’s $INTC CEO said it can meet only about half of customer CPU demand. 2. AMD $AMD doubled its server CPU TAM outlook. 3. NVIDIA $NVDA started selling Vera as a standalone CPU built for agents. 4. Arm $ARM said the data-center CPU is now central, not a sidekick. 5. Bank of America lifted its 2030 server CPU market view toward $170-210 billion. That is the supply chain, not a retail thread. The reason is agentic AI. Training a model is a GPU job. Running an agent is a system job. An agent does not answer once and stop. It plans, calls tools, writes code, hits databases, moves data, checks the result, and loops. Orchestration, scheduling, I/O, sandboxes, and memory management sit on CPUs. Chat inference can live at one CPU per four to eight GPUs. Agent clusters are being designed closer to 1:1. Some swarm designs want even more host cores per accelerator. That is why the talk sounds like 2023 GPUs. Demand showed up faster than wafer plans. Server parts stay tight into 2026-27. Intel and AMD have room to raise prices. Hyperscalers are signing multi-year CPU deals. Client PCs may get the leftovers, the same way gamers waited while data centers ate GPUs. GPU-like outcomes are possible, with limits. Allocation fights. Longer lead times. Higher ASPs. A second “who has supply” trade in AMD and Intel. NVIDIA and Arm also win if they own the host CPU next to the accelerator. Memory is still the more violent shortage. Power and packaging still cap how fast anyone ramps.