S&P Global Ratings warned on Monday that major technology companies may have greater debt exposure linked to artificial intelligence infrastructure than is apparent from public disclosures. The agency said complex financing arrangements around data centres and specialist cloud providers can make some financial obligations difficult to assess.
The expansion of AI has driven enormous spending on chips, computing capacity and data-centre construction. Some projects rely on financing structures involving several companies, lenders and infrastructure operators, which can make it harder for investors to see the full distribution of risks.
S&P does not currently see the issue alone as a reason for broad rating changes. However, it said investors and lenders need to monitor whether the expected returns from AI investments materialise and whether companies can turn high capital spending into sustainable cash flow.
Large technology groups, including Amazon, Microsoft, Alphabet, Oracle and Meta, are investing heavily in AI infrastructure as demand for computing power grows. The scale of that spending has prompted questions about financing costs, future revenue and how quickly new facilities will become profitable.
The warning does not mean that AI investment as a whole is unsustainable or that the companies concerned face immediate financial distress. Rather, it highlights the difficulty of measuring the full costs and risks when obligations are spread across subsidiaries, joint ventures and individual infrastructure projects.
For investors, the key issue is increasingly not just how much companies spend on AI, but how those investments are financed and whether future earnings can justify the commitments.
