PC downturn frees wafers but not the AI bottlenecks: packaging and power cap accelerators
BenBajarin · x · 2026-10-28
Ben Bajarin (The Diligence Stack) argues that a PC downturn frees leading-edge wafer and memory capacity, but doesn't fix every AI bottleneck — packaging and power still cap accelerator upside.
- Server CPUs benefit more: less silicon and no HBM dependency
- He launched the CS Forecast Stack: 19 interconnected forecast models on one shared demand framework, spanning fab capacity, compute, datacenter power, token economics, AI revenue and enterprise spend
- Core thesis: AI differs from past device cycles — the multi-billion installed base of PCs and smartphones is the distribution channel for AI software, so PC, foundry, memory and accelerator forecasts must agree to reveal the supply picture
More from Infra
- Mixed NVIDIA+AMD multi-GPU LLM setup benchmarks slower than a single card — LMasterGame · 2026-10-28
- 8 open-source repos to self-host a lean AI agent stack instead of stacking $20/month SaaS — SaiTarunRonanki · 2026-10-28
- Corning Optical Q3: sales up 44% to $2.38B, Gen AI revenue doubles y/y — demian_ai · 2026-10-28
- AI-powered formal verification finds real Redis/Valkey bugs, incl. a 23-char freeze — LingmingZhang · 2026-10-28
- 112 TPS on a single RTX 3090: LlamAmpere v0.6 pushes 27B models with 400K context — Brief-Tap-6616 · 2026-10-28
- Your coding agent burns up to 12k tokens before you type: 30 harnesses span 50x — yb2698 · 2026-10-28