Moody's Ratings has issued a warning that the massive spending spree on artificial intelligence infrastructure by the world's largest technology companies is eroding their free cash flow and increasing balance sheet risks. The credit rating agency suggests that investors will increasingly scrutinize whether these firms can generate sufficient returns from their enormous AI investments.
In a research report released this week, Moody's highlighted that six major tech firms—including Microsoft (MSFT.US), Amazon (AMZN.US), Alphabet (GOOGL.US), the parent company of Google, Meta (META.US), Oracle (ORCL.US), and CoreWeave (CRWV.US)—are transitioning from a traditional "asset-light" business model. This model relied heavily on software, intellectual property, and cloud services, but they are now shifting to an "asset-heavy" model that requires building vast data centers and other physical infrastructure.
Key Concerns and Financial Impact
Moody's noted that this transformation demands unprecedented levels of capital expenditure and financing, which could weaken the credit quality of these companies. The agency projects that AI infrastructure investments will continue to climb, with the combined capital spending of these six firms reaching approximately $785 billion in 2026 and approaching nearly $1 trillion by 2027.
The report explains that generative AI, unlike traditional software, requires substantial hardware investments in data centers, GPU servers, and high-performance chips. This fundamentally changes the tech industry's long-standing strategy of relying on asset-light models to maintain high profit margins and strong balance sheets.
Rising Debt and Off-Balance-Sheet Financing
To fund their AI expansion, these tech giants are increasingly turning to capital markets for financing. According to Moody's data, the total direct debt of the six major cloud service providers has now reached about $460 billion. Companies are also raising funds through equity markets, with Alphabet recently announcing a massive $85 billion equity financing plan last month.
Beyond debt and equity financing, many firms are using off-balance-sheet methods to reduce pressure on their balance sheets. Moody's stated that because AI hardware and infrastructure require massive upfront investments while the related revenue streams take longer to materialize, the industry's overall free cash flow is under continuous pressure. To avoid directly increasing their debt levels, tech giants are heavily utilizing long-term leases for data centers. To date, the total data center lease commitments for these six companies have grown to approximately $1.2 trillion, with over $820 billion of that tied to data centers that are still under construction and not yet operational.
While these lease commitments do not appear as traditional debt on balance sheets, Moody's considers them to be equivalent to long-term liabilities, which will eventually create significant rental payment obligations.
Credit Ratings and Industry Risks
Despite these pressures, Moody's believes that Microsoft, Alphabet, Amazon, and Meta still possess some of the strongest corporate balance sheets globally. The agency sees a low probability of their investment-grade credit ratings being affected in the short term.
However, firms with lower credit ratings face greater challenges. Oracle currently holds a Baa2 rating with a negative outlook, placing it just two notches above junk status. CoreWeave, which specializes in AI cloud services, is rated Ba3, placing it in the high-yield bond category, and its GPU infrastructure relies heavily on complex private debt financing structures.
The 'Circular Ecosystem' of AI
Moody's also highlighted the formation of an increasingly clear "circular ecosystem" within the AI industry. The report notes that major cloud providers have invested billions of dollars in recent years into AI startups like OpenAI and Anthropic. These AI companies, in turn, heavily purchase cloud computing resources from Microsoft, Amazon, and Google, creating a circular pattern of funding, customers, and infrastructure dependency.
Moody's stated that this cross-ownership and interconnected customer relationship means the industry leaders are increasingly reliant on the same set of AI clients and the shared assumption that AI demand will continue to grow. If industry demand falls short of expectations, the associated risks could amplify simultaneously.
Nevertheless, the agency believes that AI computing power demand remains strong, cloud business is continuing to grow, and major cloud providers have signed hundreds of billions of dollars in long-term customer contracts. This provides a high degree of predictability for future revenue, keeping overall credit conditions stable. Moody's concludes that investors will increasingly focus on whether tech companies can translate their ever-rising AI capital expenditures into reasonable returns on investment, marking the most profound financial structural change the tech industry has seen since the cloud computing era.
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