Moody’s warns “unprecedented” AI spending is pushing major tech firms toward more leverage

Moody’s said “unprecedented” spending on artificial intelligence is beginning to stress the credit profiles of several of the world’s largest technology companies, including Amazon, Meta and Alphabet. In its assessment, the ratings firm argued that even companies with substantial cash generation are increasingly drawing on borrowing and other capital markets tools to fund AI-related costs, which it said could weaken credit metrics over time.

The warning comes as major firms expand AI data-center capacity, build or license AI software and models, and increase spending tied to cloud and advertising technology upgrades. Moody’s characterized the scale and speed of investment as unusual for this group of issuers, noting that the pattern can reduce financial flexibility even for companies with strong operating businesses.

Moody’s said the spending intensity is “forcing” companies to lean more heavily on funding channels such as debt issuance and stock sales, and also on transactions and arrangements that may move parts of costs or financing off traditional balance-sheet measures. The ratings firm’s framing focused less on any single quarter and more on whether the overall funding mix could affect leverage and resilience across credit cycles.

For investors and lenders, Moody’s emphasis on credit quality highlights the gap between technology spending headlines and the credit realities faced by corporate finance teams. Ratings agencies typically evaluate how much debt a company can carry through downturns, and how quickly it can adapt when costs run higher than expected or when cash flow faces temporary pressure.

While the companies cited are among the most established issuers in global capital markets, Moody’s assessment suggests that the AI buildout is becoming a structural driver of capital needs rather than a purely incremental expense. That matters for bond holders and other counterparties because changes in leverage assumptions can feed into risk premiums and the cost of future borrowing.

The Moody’s assessment also indicates that AI investment will increasingly show up in credit surveillance, not just equity narratives. Even where companies remain profitable or generate significant cash, Moody’s said the mix of financing tools used to support rapid expansion can influence how credit quality is viewed.

Moody’s has not indicated that the companies it cited are in immediate financial distress, but its credit commentary adds to scrutiny of how large-scale AI spending is financed and whether the resulting capital structure remains stable. The next step for affected issuers is continued engagement with ratings agencies as spending plans evolve, with investors watching for updates in leverage, liquidity and debt-related metrics in subsequent filings and rating actions.