The rapid expansion of spending on AI chips, cloud infrastructure, and data centers is driving major technology companies to rely increasingly on debt financing. As funding requirements continue to grow, U.S. dollar-denominated bonds alone are no longer sufficient. Banks are now arranging multi-currency bond offerings and developing innovative financing structures tied to data center lease agreements.

This shift is making the AI ecosystem increasingly dependent on global bond markets, rather than relying solely on corporate profits or research and development budgets.

Multi-Currency Bond Issuance

According to a Reuters report, AI-related borrowing now accounts for nearly 15% of all investment-grade bond issuance this year.

Over the past 12 months, Amazon and Alphabet have collectively issued approximately $60 billion in bonds across multiple currencies.

Meanwhile, BNP Paribas estimates that the world's largest cloud computing companies will spend around $725 billion this year—nearly double the level recorded in mid-2025—as investment in AI infrastructure continues to accelerate.

Data Centers Become Financing Collateral

Banks are increasingly structuring financing around long-term data center lease agreements, in some cases even before facilities are fully completed. These structures provide investors with greater visibility into future cash flows while helping companies secure funding earlier in the development cycle.

One example cited by Reuters is an $810 million bond issuance by Stingray Compute, backed by a long-term data center lease agreement with Amazon. The offering was reportedly nine times oversubscribed, highlighting strong investor appetite for AI-related infrastructure assets.

However, the rapid increase in issuance is also raising questions about the market's ability to absorb such a large volume of debt, particularly if global investment-grade bond issuance surpasses $2 trillion for the first time in 2026.