AI Hardware and Hormuz Oil Flows Share the Same Eroding Chokepoint Logic

Across the archive, the Micron 20% DRAM take-or-pay deals, NVIDIA's 45°C inlet liquid cooling spec, OpenAI's Jalapeño ASIC tape-out, and Anthropic's Alibaba IP extraction logs sit beside the Hormuz 20-million-barrel daily transit reports, Ukrainian refinery strikes, and Trump gas-price probes. These are not parallel stories. They describe the same transition: legacy physical and digital bottlenecks (straits, refinery clusters, model weights behind single APIs, GitHub Actions pipelines) are losing their grip while new concentrated dependencies form around power-hungry AI factories and custom silicon. The CI/CD flaws enabling repo takeovers and the malware server seizures are the software-layer version of the same phenomenon—remote actors probing single points that used to be defensible. What is absent is any recognition that the AI buildout itself is now the largest variable in energy logistics; the coverage treats chip supply and crude supply as separate domains.