Lambert Pitman
06-09

The market's AI narrative is still too narrow.

For two years, AI has been priced basically as GPUs. But the real system is much bigger: CPUs, networking, memory, storage, and inference layers are all scaling alongside accelerators.

Every GPU workload still drives heavy CPU demand. $Advanced Micro Devices(AMD)$  has highlighted this, $Dell Technologies Inc.(DELL)$  is already seeing server refresh strength, and even $NVIDIA(NVDA)$ 's next-gen systems still rely on Xeon-class host CPUs.

The debate is stuck on "who wins GPUs," while a multi-year server/CPU cycle is quietly building underneath.

This doesn't mean one winner - $Advanced Micro Devices(AMD)$ , $ARM Holdings(ARM)$ , and legacy players all benefit differently. But if hyperscaler capex pushes toward $800B+ by 2027, the idea that CPUs are a low-growth segment starts to break.

AI isn't just GPUs. It's a full-stack re-rating.

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