AI Spending Threatens Credit Quality of Major Cloud Providers

Moody’s Ratings issued a research note this week indicating that the surge in artificial-intelligence (AI) infrastructure spending is eroding free-cash flow and heightening balance-sheet risk for six leading hyperscale cloud companies—Microsoft, Amazon, Alphabet, Meta, Oracle and CoreWeave. The firm argues that the transition to AI-intensive data-center assets is forcing even the most cash-rich firms to rely heavily on debt, equity sales and off-balance-sheet financing.

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Historically, these firms operated on “asset-light” models centered on software, intellectual property and scalable cloud services that required modest capital outlays. The push to support generative-AI workloads now demands expansive, energy-intensive server farms, fundamentally altering the long-standing Silicon Valley formula of high margins and fortified balance sheets.

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• Moody’s projects total capital expenditures for the six companies to reach $785 billion in 2026, climbing to roughly $1 trillion the following year.

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• Direct debt across the group has already risen to about $460 billion.

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• To fund the expansion, Alphabet announced an $85 billion equity sale last month, illustrating the scale of public-market financing now required.

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The agency’s assessment underscores a broader trend: Wall Street is benefiting from the financing needs of AI-driven tech giants, while the companies themselves confront tighter credit metrics and greater exposure to market volatility.

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• “Previously, these companies relied on asset-light structures centered on software, intellectual property, and scalable cloud services that required modest capital investment,” — Moody's

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