AI Spending Drives Projected $500 Billion Debt Surge

Major technology hyperscalers and AI labs are aggressively increasing debt issuance to fund massive artificial intelligence infrastructure and hardware spending. Citadel Securities forecasts that public and private markets will see more than $500 billion in new debt by 2028 specifically to finance AI chips, while other estimates project $400 billion in investment-grade bonds from hyperscalers by 2027.

Companies including Alphabet Inc., Amazon.com, Meta Platforms, Microsoft Corporation, and Oracle have already issued roughly $570 billion in AI-related debt. This surge in supply has pressured bond prices downward and pushed yields higher. To manage the rapid hardware lifecycle, much of the new issuance is expected to be shorter-dated, typically three to five years.

AI labs are also adopting complex financing; Anthropic recently secured a $35 billion package for Google's custom TPU chips, backstopped by Broadcom Inc. Credit strategists from Goldman Sachs, Barclays, and Morgan Stanley warn that while these long-term bonds offer higher yields, they carry significant inflation and interest-rate risks.

Some analysts suggest that bonds from data-center construction firms, backed by investors like Blackstone Group Inc., may offer a more attractive risk-reward profile than the open-ended risks associated with the broader AI model.