The AI hardware supply chain is undergoing a critical stress test. Storage chips, as the physical foundation for computing power expansion, have long seen their supply-demand dynamics and pricing power move beyond the scope of a single earnings report. They have become a key yardstick for whether the tech giants’ capital expenditures can continue to bear the load.

Valuation midpoints of major U.S. tech stocks directly influence overall risk appetite. As computing infrastructure continues to ramp up, the production ramp and yield control of underlying HBM and memory effectively determine the seismic performance of the entire computing “building.” If upstream hardware cost transmission is blocked or guidance lags, the pressure for valuation adjustments in U.S. tech equities will travel along the liquidity chain, magnifying many times over into risk exposures such as high-beta crypto assets.

The linkage between on-chain assets and traditional tech stocks, in essence, reflects displacement responses of the same financial building across different floors. Even slight fluctuations in underlying demand will cause dramatic spread in the price amplitude of liquidity at the top.

The performance and guidance disclosures after market close on September 30 are a crucial window for funds to test the true capacity of AI expansion. While waiting for this infrastructure “health check” report at the base layer, funds will determine the pace at which cross-market risk exposures contract or expand next.