AI High Valuation and Fed Shift Expectations Converge: Why US Tech Stocks Suddenly Under Pressure?
Keywords: AI valuation, tech stock pullback, Fed rate hike expectations, semiconductors, USD, US Treasuries, risk appetite, fund rotation
Introduction
Recently, US AI trading suffered a significant setback, with semiconductors, optical communications, and other related sectors collectively declining. The Philadelphia Semiconductor Index once plummeted over 7%, and market sentiment quickly shifted from excitement to caution. This adjustment is not due to a single event but is the result of multiple factors including high valuation concerns in the AI sector, changes in Fed policy expectations, and declining risk appetite. As investors begin to reassess the return prospects of massive AI capital expenditures by tech giants, the market driven by "growth narrative" is facing tests from both fundamentals and liquidity.
AI trading cools: high valuation begins to be questioned
In the past few months, AI has been one of the strongest themes in global capital markets, from chips to optical communications to cloud computing infrastructure, with funds continuously pouring into related assets. However, institutions like Goldman Sachs have warned that the market's disregard for negative AI signals may be approaching a tipping point. If a major tech giant is the first to cut AI spending, the valuation logic of the entire sector could be restructured.
This concern is not unfounded. A worrying structural divergence has emerged in the current market: hyperscale cloud companies are constantly increasing AI investment commitments, but their stock price performance has lagged; meanwhile, AI hardware leaders like Nvidia and TSMC still maintain relatively strong trends. This means that the capital market's pricing for "continuous explosion of computing power demand" has clearly outpaced the pace of future cash flow realization. In other words, the AI story is still there, but valuations have advanced too fast, accumulating fragility.
Behind tech stock pullback: dual pressure from liquidity and sentiment
Another key variable in this US stock market correction is the significant change in Fed policy expectations. Bank of America Securities recently forecast that the Fed may cumulatively raise rates by 75 basis points from September to December 2026, meaning the widely accepted "rate cut trade" is being repriced. If the interest rate environment remains high for a long time, the discount rate pressure on high-valuation growth stocks will continue to rise, with the tech sector first to be affected.
From market performance, signs of fund withdrawal are clear: high-volatility tech stocks like Tesla and Nvidia saw the largest declines, the chip sector suffered heavy losses, and sub-sectors like storage, optical communications, and equipment manufacturing simultaneously came under pressure. Meanwhile, the US dollar and US Treasuries are once again favored by investors, reflecting a shift from "risk appetite mode" to "defense mode." With increased uncertainty about growth and liquidity prospects, the appeal of safe-haven assets naturally rises.
Fund rotation accelerates: market repricing for a high-rate world
From a more macro perspective, the market is undergoing a shift in asset pricing logic. In the past year, investors believed that inflation would continue to fall and rates would gradually decline, so they were willing to pay higher premiums for AI, tech, and growth assets. But now, with service inflation, wage growth, and energy prices resurging, the path of inflation decline is forced to be longer and more tortuous.
Institutions like BNP Paribas point out that the Fed's internal stance is becoming more hawkish, and even every meeting could become a policy window. This change in expectations quickly transmits to asset prices: the valuation center of high-valuation tech stocks shifts downward, cyclical assets face rebalancing, while the US dollar and US Treasuries gain favor from safe-haven funds. It can be said that the market is switching from "rate cut trade" to "high-rate trade."
Conclusion
The current violent fluctuations in the US AI stock sector are essentially the result of the convergence of three factors: valuation, policy, and sentiment. The long-term trend of the AI industry has not changed, but in the short term, the market clearly needs to reassess the return cycle of capital expenditure, the profitability delivery ability of enterprises, and the valuation tolerance under a higher interest rate environment. For investors, the signal from this round of adjustment is very clear: in a stage where liquidity is no longer loose and the policy path tends to be hawkish, assets relying solely on concepts and narratives will face higher risks. In the future, the core assets that can truly survive volatility are those with solid performance support, stable cash flow, and deep technology barriers.
