Artificial Intelligence AI and credit: Looking beyond the technology race

Artificial intelligence is driving a capital investment cycle of historic scale, but for credit investors the central question is not simply which company wins the technology race. More important is which issuers can finance the build-out while preserving resilient cash flows, manageable leverage and sufficient balance sheet flexibility.

This shifts the analysis away from the potential equity upside of AI and towards the durability of the financing structures supporting it.

Debt issuance has risen sharply as hyperscalers fund data centres, computing capacity and associated infrastructure. The five largest hyperscalers issued US$240.7 billion of debt across currencies in the year to 31 August 2026, rising to US$290.7 billion when US dollar issuance from SpaceX and Nvidia is included.

Credit markets have absorbed this supply reasonably well so far: technology spreads have widened relative to the broader investment-grade market, but the pressure has not meaningfully spread into other sectors.

The market appears to have additional capacity, but that should not be taken for granted. So far, hyperscalers remain far less dominant in credit indices than major AI companies are in equity markets, and their issuance is generally improving the average quality of the investment grade universe. Nevertheless, continued issuance could sustain technical pressure and create periodic market indigestion.

The key risk is that capital expenditure continues to outpace operating cash-flow growth, weakening free-cash flow and eventually increasing leverage. There are already tentative signs that investor appetite may be becoming more discriminating: hyperscaler transactions in the first half of 2026 were approximately four times oversubscribed, whereas the first major transaction of the second half attracted demand of only around 1.4 times.

Overall, the investment conclusion is selective rather than thematic. Portfolios can favour higher-quality hyperscalers, investment grade data centre financings and selected power or infrastructure-equipment suppliers with diversified cash flows and manageable leverage, while remaining cautious around application-layer businesses and issuers assuming additional balance-sheet risk.

Given the likelihood of continued heavy supply, gradually building positions may capture more attractive valuations without requiring investors to identify the precise peak in issuance. Ultimately, the AI build-out reinforces a familiar credit discipline: durable cash flows, sound structures and issuer selection matter more than the strength of the narrative.