AI capex wave tests bond market depth

Key takeaways

• AI-related capital expenditures could reach $5 trillion, led by high-grade technology issuers.
• The scale of financing could pressure spreads moderately, though market demand remains strong.
• Credit quality may improve overall as large, high-rated firms become major borrowers.
• Investors must assess asset longevity and residual value risk in data center financing.

The global race to build AI infrastructure has accelerated sharply. Estimated capital expenditures now total more than $5 trillion, equivalent to the annual GDP of Germany. That magnitude matters for bond investors: roughly $1.5 trillion of this is expected to flow through high-grade credit markets, with the remainder financed via private markets, and cashflows of the hyperscalers. Major technology companies—including Amazon, Meta, Microsoft, Oracle, and Google—are expected to dominate issuance. As a result, the composition of corporate bond indices may tilt toward higher-quality credits. We believe this shift could strengthen the market’s overall credit profile, even as it increases concentration in a handful of large issuers.

The question now is whether the bond market can absorb this scale of issuance. So far, signs are constructive. Recent AI-related bond deals have been well oversubscribed—meaning investor demand far exceeds the bonds available—supported by strong appetite for high-quality issuers. Issuers are offering modest concessions, which have helped drive the strong uptake. 

Still, the debate on spread impact remains open. Some investment managers we work with see single-digit basis-point widening as new supply builds; others anticipate larger moves. Historical precedent has seen large issuance trends previously from banking or telecoms not driving systematic issues.

One recent example illustrates the nuance: the Blue Owl–Meta joint venture, created to fund a hyperscale data center, priced about 65 basis points wider than Meta’s general obligations. That differential has since narrowed, underscoring how quickly market pricing adapts as investors grow comfortable with new structures.

Most AI-related borrowers have balance sheets strong enough to handle the leverage. We believe rating agencies are unlikely to view this issuance as materially risky, aside from select cases such as Oracle, where spreads have already widened.

However, the assets behind these bonds carry distinct risks. The high-powered chips that run AI systems make up about two-thirds of a data center’s value, but lose their worth quickly. Depreciation rates for these chips are fast and the new chip cycles have sped up, raising questions about how long these facilities will hold their value and what that means for long-term returns

Some hyperscalers, notably Microsoft, are responding cautiously—funding capex within cash flow and relying on outsourced partners to maintain financial flexibility. This conservatism reflects uncertainty over both technological turnover and data center resale potential.

The financing landscape is also diverging across segments. Structured credit managers note that the commercial real estate market is assigning higher risk premiums to AI data-center loans than similar asset-backed deals, suggesting investors are evaluating the underlying assets unevenly.

Meanwhile, active managers are adjusting portfolios to navigate this transition. Investors see the surge in issuance as likely to keep yields under pressure for a while, with differing opinions on how much. Most see this pressure as mild to moderate, but not severe. Others view it as a chance to add selectively in new deals and structured credit, even if it creates short-term performance differences.

We believe the AI buildout is a lasting theme for bond markets—large in scale but unlikely to be disruptive in the initial stages. Strong balance sheets, deep investor demand, and flexible financing options suggest the market can absorb the surge in issuance.

The longer-term supply, though, will likely need to offer concessions and put some upward pressure on spreads that may offer opportunities for investors.

As more capital is required, we expect more off balance sheet structures where the quality of the deals are supported by contractual obligations by the operators and lessors. Credit works will be critical to determine the robustness of these obligations under a variety of scenarios.

Ultimately, liquid investment grade markets are set to transform from a market currently dominated by the financial sector to one balanced with a large technology component.  The journey will present some challenges and opportunities along the way.