The artificial intelligence sector, particularly semiconductor stocks, has entered a volatile period, causing hedge funds to re-evaluate their positions. The Philadelphia Semiconductor Index (SOX) experienced its worst monthly performance since 2008 in July, falling 21% due to concerns about the sustainability of AI spending. This market correction led to the collapse of AI-focused hedge fund Situational Awareness, which was forced to liquidate billions in holdings after suffering margin calls. Ken Griffin's Citadel stepped in to buy a portion of the fund's book, highlighting the risks of concentrated positioning.
Despite the turbulence, technology giants like Amazon and Microsoft have reiterated plans to invest hundreds of billions of dollars in AI infrastructure, providing continued support for high-performance chip manufacturers. However, Moody's Ratings has issued a warning about the escalating debt from AI infrastructure. They project that hyperscalers will spend $785 billion in 2026 and approximately $1 trillion in 2027 on AI infrastructure, leading to $1.65 trillion in 'hidden' debt by 2027. This spending spree is eroding free cash flow and threatening the credit quality of six major technology firms: Microsoft, Amazon, Alphabet, Meta, Oracle, and CoreWeave, which collectively hold $460 billion in direct debt and $1.2 trillion in off-balance-sheet data center lease commitments.
NVIDIA, a key player in AI chips, is reportedly considering spending $750 billion on data centers to bolster its supply chain. This includes a $500 billion partnership with South Korean conglomerate SK Group and discussions with OpenAI to fund a massive data center in Ohio. Critics, including Michael Burry, are comparing this aggressive investment to a market bubble. Similarly, NVIDIA's rival AMD is investing $5 billion in Anthropic, which also receives billions from Google and Amazon. These interlocking relationships raise concerns about potential contagion if one company faces impairment, especially as financial firms like Apollo and Blackstone are increasingly financing these large deals.
Investor behavior has diverged during this period, with many hedge funds reducing exposure, while retail investors aggressively bought the dip, directing a record $12 billion into semiconductor-focused ETFs in late July. Longer-term questions remain about the profitability and cyclical nature of semiconductor companies, and whether current elevated margins can be sustained once AI-related demand normalizes. Growing competition, efficient open-source AI models, and increased scrutiny of Big Tech's capital expenditure plans also contribute to concerns that demand for advanced chips could moderate over time.
