More Efficient Models Won't Suppress Compute Demand
chris_j_paxton · x · 2026-07-19
The core argument of this quoted post is that the demand for intelligence is virtually infinite.
Using the brief AI stock sell-off triggered by Kimi K3, the author illustrates that while markets fear "more efficient models" will reduce GPU and infrastructure needs, this is unfounded. Stronger models will spawn more applications, and training and inference will still require massive compute. The real challenge might not be AI chip demand, but the valuation premium currently enjoyed by US AI companies. The conclusion is that the AI race is shifting from "who has the most GPUs" to "who can build the best products/capabilities".
Related event: Real-Time Training and Infinite Demand to Sustain GPU Needs(2 posts)→
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