Rising Concerns Over Debt in the AI Investment Boom

As major technology companies, referred to as hyperscalers, aggressively invest in artificial intelligence (AI), concerns are mounting among debt investors regarding their increasing reliance on borrowing. This trend has revitalized the market for credit derivatives, which allow banks and investors to hedge against the risk of borrowers accumulating excessive debt. Notably, credit derivatives linked to companies like Alphabet Inc. and Meta Platforms Inc. have seen significant trading activity, with outstanding contracts amounting to approximately $895 million for Alphabet and $687 million for Meta. The anticipated costs of AI investments are projected to exceed $3 trillion, predominantly funded through debt, further intensifying the demand for hedging instruments.

Bloomberg

In 2026, borrowing by hyperscalers is expected to reach $400 billion, a substantial increase from $165 billion in 2025. Alphabet alone plans to allocate up to $185 billion for capital expenditures related to its AI initiatives. This aggressive borrowing strategy has raised alarms among investors, prompting some, like London hedge fund Altana Wealth, to seek protection against potential defaults. The cost of such protection has escalated from 50 basis points to around 160 basis points for Oracle Corp., indicating heightened risk perceptions.

Bloomberg

Banks underwriting hyperscaler debt are increasingly purchasing single-name credit default swaps (CDS) to mitigate their own exposure. The rapid pace of large-scale projects, such as data center developments, has led to longer expected distribution periods for loans, prompting banks to hedge against potential risks in the CDS market. The demand for these protective instruments is expected to grow, as Wall Street dealers respond to the rising appetite for hedging options.

Bloomberg

While many investors view the current debt levels as manageable, some traders express concerns about complacency and mispriced risk in the bond market. Rory Sandilands, a portfolio manager at Aegon Ltd., notes that the sheer volume of potential debt could pressure the credit risk profiles of these companies. This sentiment reflects a broader unease about the sustainability of such aggressive borrowing practices in an industry characterized by rapid technological changes.

Bloomberg

Gregory Peters, co-chief investment officer at PGIM Fixed Income, emphasized the enormity of the hyperscaler investments, questioning the wisdom of remaining "nakedly exposed" to potential risks. Meanwhile, Matt McQueen from Bank of America Corp. highlighted the evolving nature of loan distribution periods, suggesting that banks may need to hedge their risks more extensively in the future.

Bloomberg

• “The sheer amount of potential debt suggests that these companies’ credit risk profiles could come under some pressure,” — Rory Sandilands, Portfolio Manager, Aegon Ltd.

Bloomberg

• “This hyperscaler thing is just so ginormous and there’s so much more to come that it really begs the question of ‘do you want to really be nakedly exposed here?’,” — Gregory Peters, Co-Chief Investment Officer, PGIM Fixed Income.

Bloomberg

• “Expected distribution periods of three months could grow to nine to 12 months,” — Matt McQueen, Head of Credit, Bank of America Corp.

Bloomberg

While the overall trend indicates a significant increase in borrowing among hyperscalers, there is a lack of consensus on the implications of this debt accumulation. Some analysts believe that the strong balance sheets of these companies will allow them to weather potential downturns, while others caution that the risks associated with such high levels of debt could lead to adverse outcomes.

Bloomberg