US technology stocks are caught in a dilemma that leaves investors in a bind: impressive earnings reports fail to lift share prices, while disappointing results trigger sharp declines. This asymmetric market reaction is shaking Wall Street's confidence in the AI investment narrative and accelerating a capital flight from high-valuation tech shares.
Taiwan Semiconductor Manufacturing Company Ltd (TSMC) reported on Thursday a quarterly net profit that surged 77% year-on-year to a record high and raised its 2026 revenue growth forecast to over 40%. Despite this, its US-listed shares closed down 2.3%. Meanwhile, International Business Machines Corp (IBM) plunged over 20% in a single day on Tuesday after issuing a profit warning—a drop even exceeding that of the 1987 "Black Monday." An analyst from Vital Knowledge succinctly described the current predicament: "Tech stocks seem unable to win—blowout results don't generate gains, while disappointing results are brutally punished."
Market Dynamics and Divergence
Market analysts believe investor concerns over high AI valuations and returns on massive capital expenditures have set an extremely high bar for earnings expectations, leading to a severe disconnect between fundamentals and share prices. Compounding this, the market is undergoing systemic deleveraging and a breakdown in momentum trading, meaning price action is now dictated more by positioning and factor dynamics than by fundamentals.
The Nasdaq Composite Index fell 1.5% on Thursday, led lower by memory and chip stocks. Western Digital Corp (WDC) and Seagate Technology Holdings PLC (STX) both dropped over 9%, while Intel Corporation (INTC) and Micron Technology, Inc. (MU) each fell around 6%. The US semiconductor sector has now fallen approximately 22% from its mid-June peak, officially entering a technical bear market. A momentum stock index tracked by Goldman Sachs tumbled 6% on Thursday alone and has lost about one-fifth of its value so far this month.
Strong Fundamentals Meet Weak Prices
The most alarming aspect of this tech stock correction is the severe divergence between robust fundamentals and share price performance.
TSMC not only saw its Q2 net profit jump 77% year-on-year to a record T$706.6 billion (approximately US$22 billion) with a gross margin of 67.7%, but also raised its 2026 capital expenditure forecast to between US$60 billion and US$64 billion. ASML Holding NV (ASML) had previously delivered a quarterly report that also "beat expectations and raised guidance." Micron Technology, Inc. (MU)'s latest quarterly results significantly exceeded forecasts, yet its stock has corrected roughly 25% from its highs.
Analysts note that the results from these three companies further reinforce the narrative of AI-driven demand acceleration, providing fresh positive data to support the logic of AI capital expenditure and computing power investments. However, the fact that semiconductor and memory stocks are still declining in the face of such positive catalysts suggests that price action is now likely being driven not by fundamentals, but by positioning structures and factor dynamics. This also implies that the earnings expectation bar for the hardware sector has been set extremely high.
Notably, even Space Exploration Technologies Corp (SpaceX), once seen as a symbol of the AI boom, has not been spared. Following its record-breaking IPO last month at an $86 billion valuation and an issue price of $135, its shares once soared to a high of $225.64, attracting a flood of retail investment. However, its stock fell another 3.1% on Thursday to $131.11, now trading below its IPO price.
This trend reflects a widespread reassessment by investors of the high valuations of AI-related companies. According to reports, some investors are growing increasingly concerned about when the massive expenditures by US tech giants on data centers will begin to yield substantial returns.
Alphabet Inc (GOOGL) shares fell 4.4% on Thursday, while Amazon.com, Inc. (AMZN) declined 1.2%. Bonds issued by "hyperscale" cloud providers have also come under pressure recently due to skepticism over their massive borrowing and spending plans.
Chip Stocks as the Market Bellwether
Amid these intertwined pressures, the direction of the semiconductor sector has become a key bellwether for the entire stock market.
Analysts argue that "the future path of chip stocks remains the most important question for the equity market. They are showing some clear cracks, so a strong and sustainable rebound must be seen soon; otherwise, it will send a real warning signal."
Currently, the semiconductor sector as a whole is down about 22% from its mid-June peak, officially in a technical bear market. Against the backdrop of stocks like ASML Holding NV (ASML), Micron Technology, Inc. (MU), and Samsung Electronics Co Ltd being sold off despite beating earnings expectations, high-beta momentum strategies have once again suffered significant setbacks.
Market-implied correlations remain near historic lows and are notably disconnected from the VIX index, indicating that current volatility stems more from the repricing of structural factors rather than systemic panic—though this does not mean the risk has been cleared.
Deleveraging and Momentum Unwind
Behind this selling wave is a systemic deleveraging process that began in June.
JPMorgan strategist Nikolaos Panigirtzoglou stated, "The investor deleveraging phase that started in June appears to be continuing. We believe there is still more deleveraging room in leveraged equity ETFs, options, and margin accounts, which will act as a persistent headwind for stocks."
Goldman Sachs data shows pressure across the entire AI domain, with the optical interconnect, AI semiconductor, and data center sectors all falling between 5% and 12% over the past two days.
The momentum stock index tracked by Goldman has fallen roughly 20% this month. Furthermore, Goldman's analysis indicates that, after volatility adjustment, the current volatility of this factor pair has risen to a five-year high, approaching ten times the three-week realized volatility of the S&P 500.
Analysis points out that "directionally incorrect" price action has emerged between AI-related stocks and "AI risk" stocks, between hedge fund long holdings and short positions, and between 12-month high-beta winners and losers, signaling significant internal market structure disarray.
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