Chip stocks plunge up to 11% as Meta's cloud plans trigger AI computing capacity concerns

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Major chip stocks including Micron, Intel, and AMD fell sharply after a record-breaking rally, driven by concerns over potential AI computing oversupply. Meta Platforms' plans to monetize excess capacity and OpenAI's efficiency gains sparked a reassessment of lofty valuations across the semiconductor sector, though Asian markets showed early signs of recovery.

Chip Stocks Face Sharp Decline After Record Quarter

Chip stocks opened the third quarter with significant losses, as the VanEck Semiconductor ETF plunged over 5% following its strongest quarter on record

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. The chip stocks selloff saw Micron tumbling 11%, while Intel fell 9% and AMD declined 7%

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. These three companies had collectively added nearly $2 trillion in market value during the second quarter as investors broadened their AI-related investments beyond Nvidia

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. The semiconductor equipment makers also experienced severe pressure, with Lam Research, KLA Corp, and Applied Materials falling at least 10% despite more than doubling during the previous quarter

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Meta Platforms Cloud Plans Spark AI Computing Capacity Concerns

Source: ET

Source: ET

The weakness intensified after Bloomberg News reported that Meta Platforms is building a cloud business to sell excess AI computing capacity

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. The company is debating whether to offer access to AI models hosted on its infrastructure or to sell access to raw computing power

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. Meta told investors in April that it plans to spend as much as $145 billion on capital expenditures this year as it continues developing data centers and securing graphics processing units needed to train AI models

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. This move fueled speculation that AI computing capacity may be catching up with demand, prompting investors to reassess lofty valuations across the semiconductor sector

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. Analysts at KeyBanc Capital Markets suggested the move could help Meta expand into the enterprise AI market and generate quicker returns from its AI infrastructure spending

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OpenAI Efficiency Gains Raise Questions About AI Chip Demand

Adding to the market volatility, The Information reported that OpenAI engineers had developed software optimizations capable of cutting inference costs by roughly half, reducing the number of Nvidia graphics processors needed to serve some ChatGPT users

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. This development raised concerns that future AI chip demand could grow more slowly than previously expected . The twin developments sparked concerns that AI companies may be able to extract more value from existing hardware, potentially reducing the urgency for new chip purchases . JPMorgan analyst Nikolaos Panigirtzoglou noted that "the strong and almost steady outperformance since last September of semiconductor stocks versus hyperscalers appears somewhat unsustainable in the long run"

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Asian Markets Show Early Recovery Signs

Asian semiconductor stocks initially followed the sharp overnight selloff, with Samsung Electronics and SK Hynix slumping between 8% and 10%, while TSMC shares fell more than 2% . However, chip stocks began to recover in Asian trading on Friday, with South Korea's Kospi jumping almost 6% after having pulled back nearly 19% from its mid-June record high

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. SK Hynix shares recouped more than 10% of their losses after shedding over 30% recently

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. Market observer Stephen Innes attributed the rebound to short covering by investors who had been betting on falling prices, noting "how quickly an overstretched rubber band can snap back when all market participants are positioned in the same direction"

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Valuation Concerns and Long-Term AI Outlook

Despite the selloff, many market participants remain constructive on large technology companies investing heavily in AI. Richard Saperstein, chief investment officer at Treasury Partners, said he continues to favor hyperscalers, arguing that their earnings growth remains strong even as valuations have moderated due to concerns over heavy capital expenditure

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. According to Helaba, while talk of a possible AI bubble is making the rounds again, "the most important indication of overheating in our view, namely an extremely high valuation, is not currently a concern in the technology sector"

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. However, equity market strategist Markus Reinwand cautioned that investors should remain vigilant, noting that "it would be unusual if a technological revolution of this magnitude did not also lead to overinvestment and misallocations"

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. The sharp reversal highlights growing market volatility in the AI-driven rally, with investors becoming increasingly selective as they look for clearer evidence that massive investments will translate into sustainable earnings growth

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