AI hardware bottlenecks cascade like a bullwhip, from GPUs to storage and data center shells

AI 基础设施的牛鞭效应：从 GPU 到存储的连锁瓶颈

Tomasz Tunguz maps AI infrastructure shortages as a Bullwhip Effect: the 2023 GPU rush cut server shipments 22% and starved memory fabs; 18 months later HBM conversion drove enterprise SSD prices up 80% in a quarter. By late 2025 agentic workflows pushed CPU-to-GPU ratios toward 1:1, lifting Intel Xeon ASPs 27%. In 2026 nearline HDD production is fully sold out. The steepest cost is the data center shell itself—$20B per gigawatt, with transformer lead times near three years and GE Vernova and Siemens Energy turbine backlogs stretching to 2031. The post warns that new capacity arriving in 2027–2028 could crack the whip if software revenue doesn't keep pace.

Why it matters: Tunguz connects AI hardware shortages into a data-backed Bullwhip narrative with concrete numbers—80% quarterly SSD price spike, $20B/GW data center costs—directly useful for infra investors and buyers. Held back from higher bands because it's a single-author analytical piece ...