A dramatic wave of profit-taking hit the semiconductor sector on Thursday, snapping a record-breaking streak for AI rally leaders as investors reassessed sky-high valuations.
The VanEck Semiconductor ETF (SMH) plunged more than 5%, a stark reversal coming just one day after capping off its strongest quarter on record. Driven by intense artificial intelligence optimism, the index had previously surged an astonishing 71% between April and June.
Heavy Losses Across Key Players
The downturn spared few major chipmakers or equipment manufacturers, wiping out massive gains from the previous quarter.
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Chipmakers: Memory specialist Micron led the downward spiral, tumbling 11%. Intel dropped 9%, and AMD declined 7%. Collectively, these three tech giants had added nearly $2 trillion in market value during Q2 as investors diversified their AI bets beyond Nvidia.
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Equipment Providers: The selling pressure quickly bled into semiconductor equipment companies. Lam Research, KLA Corp., and Applied Materials—all of which had more than doubled in value during the second quarter—each plummeted by at least 10%.
The Catalyst: Meta’s Pivot Sparking Oversupply Fears
The primary trigger for the sell-off stems from reports indicating that Meta Platforms may begin renting out its excess AI computing capacity.
The Market Impact: While this news raised immediate concerns that the rapid, aggressive expansion of global AI infrastructure is outpacing current demand and leading to an oversupply of computing power, it had the opposite effect on Meta itself.
Meta’s shares rallied over 9%. As one of the world’s largest spenders on data centers and hardware, analysts at KeyBanc Capital Markets noted that monetization of its excess capacity could allow Meta to quickly break into the enterprise AI market and generate faster returns on its massive infrastructure investments.
Looking Ahead: Volatility Meets Selective Optimism
Despite the abrupt pullback, many Wall Street participants remain fundamentally optimistic about tech giants heavily exposed to AI. Analysts point out that the earnings growth of hyperscalers remains robust, even if market valuations have temporarily cooled over heavy capital expenditure anxieties.
Ultimately, this sharp reversal underscores a new chapter of volatility for AI stocks. Investors are shifting away from broad, speculative buying and becoming significantly more selective, demanding clearer evidence that these multi-billion-dollar infrastructure investments will successfully translate into sustainable, long-term earnings growth.
