11 articles
Anthropic's >80% "gross margin" and $559M "adjusted operating profit" exclude partner revenue sharing, training costs, and stock-based compensation. The S-1 discloses $518B in take-or-pay compute obligations, 80% non-cancelable, with named counterparties including Broadcom ($161B), Google ($111B), and Amazon ($110B). The safety slowdown is a capital preservation maneuver timed to the IPO window.
Export controls and data-sovereignty laws have divided the technology economy into two non-interoperable production systems. Multinationals now face a permanent cost premium from bifurcating infrastructure, products, data systems, and compliance operations.
Frontier AI labs face rapid algorithmic depreciation and escalating compute costs. Safety regulation can create a synthetic moat by imposing fixed compliance costs that favor incumbents over open-weight competitors.
Treasury buybacks improve market liquidity but cannot offset net sovereign-duration supply. Higher real term premiums are compressing corporate investment horizons and favoring projects with contracted revenue, regulated returns, scarcity rents, subsidies, and shorter payback periods.
China's strategic deficit can be explained as a fiscal crowding-out problem: capital was absorbed by real estate and local government balance sheets before domestic semiconductor capabilities reached strategic self-sufficiency.
Infrastructure allocation predicts industrial geography only when capital is concentrated, project-specific, and backed by durable demand. Grid capacity has become the primary rationing variable.
U.S. export controls aimed at leading-edge chips inadvertently created a pricing-power windfall in China's mature-node foundries. The mechanism: a deliberate policy line, state capital reallocation, and an unmodeled AI demand shock.
AI compute scarcity has migrated from fabrication to HBM, advanced packaging, grid access, and cooling. China is constrained upstream; the U.S. downstream.
A 30-day Taiwan Strait closure is not a theoretical exercise — it is a supply chain stress test. The AI chips are the most resilient in the short run. The boring chips break first. The actual gating constraint may be energy, not fabrication.
The semiconductor supply chain is not a policy debate — it is a physical constraint. Advanced packaging, equipment tooling, and rare earth processing cannot be duplicated instantaneously. The irreversible timeline for strategic decoupling is approximately 2028-2032.
Advanced semiconductor packaging is the actual bottleneck on AI accelerator deployment — what it means for capital allocation?