Opening
Chip Stocks Post Longest Losing Streak Since 2010
Semiconductor stocks have closed lower for eight consecutive sessions, their longest losing streak in 16 years, according to Barchart data cited by Yahoo Finance. The iShares Semiconductor ETF (SOXX), a $44.7 billion BlackRock fund tracking about 30 U.S.-listed chipmakers, ended Thursday at $514.71, nearly 14% below its October high. The sell-off intensified midweek when SOXX briefly slipped below $496 before clawing back to close above its open on the heaviest volume in months—a potential sign that dip buyers are stepping in, though the recovery remained fragile.
The damage has been concentrated among the biggest names. Intel has lost more than 20% in two weeks, while AMD dropped over 5% intraday on October 14. Nvidia, Advanced Micro Devices, Micron, Broadcom, and Marvell—which together with Intel account for roughly 62% of SOXX's assets—have all felt the pressure. The retreat extends beyond U.S. borders: selling spread from Korea's chip-heavy KOSPI, where memory stocks suffered a sharp rout, and Taiwan Semiconductor Manufacturing Company (TSMC) shares fell 1.8% in U.S. trading despite reporting a 68.7% jump in third-quarter profit.
Wall Street Asks: Head Fake or the Real Thing?
The streak has revived a debate that has simmered since ChatGPT's late-2022 debut: is this the moment the AI boom finally cracks, or just another in a long line of false alarms? Fortune reported Saturday that Wall Street is divided. Bears have sounded warnings at every Nvidia market-cap milestone—$2 trillion, $3 trillion, $4 trillion, $5 trillion—and at each new red flag: the borrowing binge by AI hyperscalers, the DeepSeek shock of early 2025, Sam Altman's admission that a bubble exists, Michael Burry's bearish bets, the Iran war, and "circular" funding deals between AI companies. Each time, earnings kept soaring and stocks rebounded to record highs. The question now is whether this sell-off is different.
Context
AI Spending Doubts Take Center Stage
At the heart of the current anxiety is whether the trillions of dollars flowing into AI infrastructure will generate returns commensurate with the investment. OpenAI reportedly told investors its annualized revenue neared $50 billion—short of earlier estimates of $70 billion—a disclosure that raised eyebrows about the pace of monetization across the sector. Broadcom CEO Hock Tan added fuel to the fire by describing some AI investors as gamblers, a remark that resonated with skeptics who see speculative excess in the rush to build data centers and buy chips.
The scale of the spending is staggering. Big Tech companies plan roughly $800 billion in capital expenditures this year, according to Yahoo Finance, a figure that underscores both the sector's ambition and its exposure. Hyperscalers have increasingly turned to debt markets to fund their buildouts, a borrowing binge that Fortune noted has been a persistent warning sign for bears. If revenue growth slows while capex commitments remain fixed, the arithmetic could turn ugly quickly.
Macroeconomic Headwinds Compound the Sell-Off
The AI trade is also colliding with a tougher macroeconomic backdrop. September consumer prices rose 3.7% year over year, topping forecasts, and traders now price a 92% chance of another Federal Reserve rate hike this year. Higher rates tend to hit high-growth technology stocks hardest, as they reduce the present value of future earnings and raise the cost of the debt that hyperscalers are using to finance their AI ambitions.
The memory-chip rout in South Korea added a global dimension. Progress by Chinese memory maker ChangXin Memory Technologies (CXMT) has fueled fears that China is catching up in a critical segment of the semiconductor supply chain, potentially eroding the pricing power of Korean and American manufacturers. The combination of demand uncertainty, rising rates, and geopolitical competition has created a perfect storm for chip stocks, even as underlying demand for AI hardware remains robust.
Technicals Flash Warning Signs
The technical picture offers little comfort to bulls. SOXX is trading below its 50-day moving average, which capped rallies in August and September. The Relative Strength Index (RSI), a momentum gauge, has fallen to 36—its lowest reading since July—approaching oversold territory but not yet there. If selling resumes, the 0.5 Fibonacci retracement near $481 is the next major support level. To the upside, SOXX must reclaim $523 and the 50-day moving average near $540, with a bigger barrier at $573, the 0.236 Fibonacci level. Thursday's volume spike suggests some buyers see value, but the fund remains vulnerable to further declines.
Perspective
A Recalibration, Not a Rupture—For Now
Despite the gloom, not everyone is convinced the AI investment story is broken. UBS described the sell-off as "more of a recalibration of expectations than a fundamental break in the AI investment story," according to Yahoo Finance. JPMorgan strategists also flagged a possible inflection point, suggesting the market may be finding a bottom. The distinction matters: a recalibration implies investors are adjusting their assumptions about growth and profitability, not abandoning the thesis entirely. The AI buildout continues, and demand for chips—evidenced by TSMC's profit surge—remains strong.
Yet the persistence of the warnings is itself notable. As Fortune put it, "How many canaries have we killed in the coal mine?" The long list of false alarms has conditioned investors to buy the dip, but that reflex could also be a sign of bubble psychology. Many on Wall Street acknowledge the good times will end at some point; the only question is how long to ride the AI bets without leaving money on the table. For now, the market is pricing in more caution than it has in years, and the coming weeks will test whether that caution is warranted or merely another head fake.
Broader Implications for the AI Economy
The chip sell-off carries implications beyond trading floors. A sustained downturn in semiconductor stocks could tighten financing conditions for AI startups and hyperscalers alike, slowing the pace of data-center construction and model development. It could also prompt a reassessment of the circular funding deals that have knitted together AI companies, chipmakers, and cloud providers—arrangements that amplify both growth and risk. Meanwhile, the macroeconomic environment, with inflation running hot and the Fed poised to hike, offers little cushion for risky assets.
For everyday investors, the episode is a reminder that the AI trade is not a one-way street. The technology's long-term potential remains enormous, but the path from here to there will include drawdowns, rotations, and bouts of doubt. Whether this eight-day losing streak becomes a footnote or a turning point depends on earnings, spending discipline, and the broader economy—factors that will come into sharper focus as third-quarter results roll in. For now, Wall Street is watching the $500 level on SOXX, and the canaries are still singing—though fewer than before.
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