Chip Stocks Crash Amid AI Overcapacity Fears — $138B Vanishes
By John Nada·Jul 2, 2026·4 min read
Chip stocks plummet as AI demand fears grow, erasing $138B from Micron's cap. Yet, hyperscalers like Meta pivot, boosting confidence.
A day after closing a stellar quarter on Wall Street, chip stocks nosedived to open the third quarter. CNBC Business reported that memory maker Micron saw an 11% drop, erasing $138 billion in market cap. Intel and AMD didn't fare much better, falling 9% and 7% respectively. These declines starkly contrast their second-quarter boom, where they collectively added $2 trillion in value as investors banked on AI's escalating demands.
The recent downturn in chip stocks marks a significant shift in investor sentiment. The second quarter had seen an unprecedented surge in value for these companies, driven largely by optimism in the artificial intelligence sector. Investors were particularly excited about the potential need for more memory and central processors, not just the graphics processors produced by Nvidia, to support AI expansion. This optimism, however, seems to have been tempered by concerns of overcapacity in the market.
In particular, the VanEck Semiconductor ETF (SMH), an index tracking chip stocks, fell more than 5% on Wednesday. This came just a day after closing out its best quarter ever, with a remarkable 71% jump from April through June. The ETF's decline reflects broader market concerns about the sustainability of the growth seen in semiconductor stocks during the second quarter.
Semiconductor equipment giants like Lam Research, KLA Corp., and Applied Materials, each of which saw their stock prices more than double in the last quarter, also faced significant declines. Each company experienced a drop of at least 10% as investors reacted to the potential for a slowdown in demand for semiconductor equipment.
One of the key factors contributing to the current market jitters is a report regarding Meta. As one of the biggest buyers of AI infrastructure, Meta's potential move to rent out excess computing capacity has raised fears that AI processing supply may be catching up to demand. This development suggests that the rapid buildout of AI data centers may have outpaced immediate needs, leading to an excess in available capacity.
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Despite these concerns, Meta's stock experienced a substantial gain, increasing by over 9% on Wednesday. The company's pivot to renting out excess capacity was seen as a strategic move that could potentially position Meta more favorably in the enterprise market. Analysts at KeyBanc Capital Markets have recommended buying Meta shares, highlighting that this move could provide a more immediate return on investment.
Amid the uncertainty, some analysts remain optimistic about the prospects for hyperscalers—massive internet companies that continue to invest heavily in AI infrastructure. Richard Saperstein, Treasury Partners' chief investment officer, expressed confidence in the strength of hyperscalers in the AI trade. He noted that "earnings are accelerating, yet multiples are compressing," attributing this to the asset-heavy nature of these companies compared to their asset-light counterparts.
Micron, despite the market's fears, reported strong financial health in its most recent earnings. The company announced a more than quadrupling of revenue in the latest quarter. Furthermore, its gross margin—a critical indicator of profitability—leapt from 39% last year to an impressive 84.9% this quarter. Micron's performance underscores the complexity of the current market situation, where strong financial results are juxtaposed with broader investor concerns about potential overcapacity.
The chip industry's recent volatility highlights the challenges in predicting demand for technology components amid rapid advancements in AI. While the second quarter's boom was fueled by high expectations for AI-driven growth, the current landscape suggests a more cautious approach as the industry grapples with aligning supply and demand.
As the market continues to adjust, stakeholders in the semiconductor sector will be closely monitoring developments in AI infrastructure needs and potential shifts in investment strategies. The balance between maintaining robust production capabilities and avoiding overcapacity will likely be a critical factor influencing the sector's trajectory in the coming months.