S&P Flags Potential Undisclosed AI Infrastructure Obligations at US Hyperscalers
DataNews Editorial Team
S&P Global has warned that major US hyperscalers may carry significant AI-related obligations not fully visible in public disclosures, including guarantees tied to large data-center developments and smaller AI companies. The agency does not currently see a need for immediate rating changes, but is assessing the durability of the sector’s infrastructure spending.
- S&P has identified a potential risk of undisclosed AI-related contingent obligations, including data-center construction guarantees.
- The agency has not provided a quantitative estimate of the possible hidden exposures.
- S&P estimates more than $7 trillion of combined data-center and other AI-related CAPEX by Amazon, Microsoft, Alphabet, Oracle, Meta and SpaceX in 2025–2030.
- S&P does not currently see a need for immediate rating changes based on AI-related bond market pricing.
- Higher contingent liabilities could, if material, increase financing costs across the AI data-center funding chain.
S&P Global has raised concerns that AI-related obligations at leading US hyperscalers could be materially higher than reported debt levels suggest. Speaking at a roundtable in London, Mark Habib, S&P Global’s head of digital infrastructure, said potential exposures could arise through guarantees supporting large data-center construction projects or financing for smaller AI companies.
The agency did not quantify the potential value of these obligations. Its comments describe a risk that such contingent liabilities may exist, rather than confirming their size or presence at each company.
S&P estimates that Amazon, Microsoft, Alphabet, Oracle, Meta and SpaceX will collectively spend more than $7 trillion between 2025 and 2030 on data centers and other AI-related capital expenditure. The estimate covers both data-center investment and other AI-related spending; it does not isolate the data-center component.
S&P expects the six companies to remain free-cash-flow negative at least through next year, although it did not provide a precise calendar endpoint or company-by-company breakdown. Despite the scale of projected investment, the agency said it does not currently see a gap between market pricing of AI-related bonds and credit ratings that would warrant immediate rating action.
The credit implications are already relevant to individual issuers. In July, S&P lowered Oracle’s rating to BBB- amid high AI spending and uncertainty around its earnings trajectory.
For data-center developers, operators and lenders, the issue is whether direct CAPEX understates the effective financial commitment behind AI capacity build-outs. If contingent guarantees and related financing obligations prove material, investors and creditors could seek higher risk premiums from hyperscalers, neocloud providers and data-center projects. That could increase the cost of capital and make some planned expansions less resilient.
Data-center financing may increasingly depend on more than direct CAPEX, including contingent guarantees and interconnected funding structures. If material, such obligations could affect the credit profiles of AI-infrastructure customers and operators, raise debt costs and constrain the pace of some planned data-center expansion.
- — / October 20, 2026 · ChineseSource →
This article was prepared by the DataNews editorial team based on the sources listed above.