Does enough capital exist to finance everyone’s ambitious AI spending plans?
Recent capital raises by major tech companies like Alphabet and SpaceX, along with anticipated fundraising from Anthropic and OpenAI, have created an "increasingly challenging fundraising environment," according to Meta. Despite a 26% rise in revenue to $64.6 billion, Meta reported a free cash flow of -$2.1 billion. The company has expanded its 2026 capital spending forecast to between $135 billion and $145 billion, and introduced a new class of non-voting shares to facilitate future capital raising.
Other executives echoed similar concerns. Broadcom CEO Hock Tan warned that capital could become the most significant constraint on AI development. BlackRock CEO Larry Fink described competition for capital as the most intense he has encountered in his career. Nvidia CEO Jensen Huang noted that demand for neocloud services is "off the charts," but capital is scarce.
AI-linked stocks experienced a selloff, with Nvidia declining 4.4%, CoreWeave dropping 10.1%, and Lam Research falling 11.8%. The iShares Semiconductor ETF (SOXX) experienced an 6.8% decrease. The Nasdaq suffered its worst day in four months, falling 2.6%, the largest one-day decline since April.
The market shift led to capital moving to other sectors, with Yardeni Research reporting that the S&P 500, which weights every company equally, rose 0.7%, while the weighted version of the index fell 1.2%. The Dow edged up by 0.02%, and the Russell 2000 increased 0.11%. Treasury yields fell across maturities, with the 10-year yield falling below 5% for the first time in nearly a month.
Yardeni believes market participants are increasingly worried that restricted access to capital could hinder the AI buildout. However, he expects the largest players to maintain access to financing and sees market-driven tightening as healthy for the AI boom. This should ensure that money is utilized more efficiently and the risk of overspending decreases.
Amazon, Alphabet, Meta, Microsoft, and Oracle are projected to invest nearly $780 billion in 2026 and over $1 trillion annually from 2027 to 2030. Yardeni believes these companies' strong cash flows, robust balance sheets, and market access will enable them to continue investing in AI.
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