ai-infrastructure-economics
2 items · chronological order
Memory chip stocks shed $100bn as AI-driven shortage trade unwinds
A single Google Research paper on model compression wiped $100 billion from memory chip stocks in five days. Micron dropped 15%; SanDisk, the best S&P 500 performer in 2025, shed $15 billion in market cap. Morgan Stanley's defense was textbook Jevons: efficiency expands demand. But the market just revealed a new risk class: AI efficiency research as a first-order investment catalyst. The next compression paper is already being written; the question is whether you see it before or after the sell-off.
Amazon's unprecedented gamble on AI redemption might just work
Amazon's $200B capex bet surfaces a structural insight the article buries: AWS is the only hyperscaler that doesn't compete with itself for AI chips. Microsoft feeds Office, Google feeds Search; both before their cloud customers. Amazon's crown jewel is AWS itself, so capacity goes to external buyers first. In a supply-constrained market, the provider who can actually deliver wins the contract: availability beats model superiority as a selection criterion.