Global AI-related debt issuance is projected to reach nearly $570 billion in 2026, reshaping credit markets as technology companies turn to bond sales and alternative financing to fund massive artificial intelligence infrastructure buildouts. Morgan Stanley forecasts this represents more than a doubling from the prior year, driven by hyperscalers racing to expand AI computing capacity.
Morgan Stanley estimates AI-related debt issuance stood at nearly $236 billion as of May 31, 2026—fourfold more than the same period in 2025. The acceleration reflects a fundamental shift in how the largest tech companies finance their AI ambitions, with Alphabet, Amazon, Microsoft, and Meta expected to spend $700 billion in combined capital outlays this year alone.
The scale of this debt wave is unprecedented. By October 2025, AI-linked debt had already reached $1.2 trillion, making it the largest segment in the investment-grade market and surpassing the outstanding debt of major U.S. banks. This rapid growth signals that traditional cash flows are insufficient to cover the infrastructure demands of the AI era.
How Financing Mechanisms Are Evolving
Tech companies that have long relied on strong cash flows are increasingly turning to debt markets because AI infrastructure investment needs are surging faster than earnings can support. Morgan Stanley expects issuance to accelerate in the second half of 2026 as hyperscaler capex is projected to surpass $1 trillion in 2027, forcing even larger financing rounds.
AI infrastructure financing has now gone multi-channel, moving well beyond company cash flows and into bond markets, private credit facilities, and infrastructure funds. Hyperscalers are broadening their investor base through non-USD issuance and tapping both public and private markets. The shift reflects how critical and capital-intensive AI buildout has become—a structural force reshaping fixed-income markets globally.
Financing for chip companies and data center operators is also shifting toward shorter-term deals that are fully repaid over time, diversifying the funding landscape beyond traditional corporate bonds. Investment trends for 2026 center on AI infrastructure as the dominant capital allocation driver across the financial system.
The credit market impact is significant. Debt from the biggest tech companies now has a bigger influence on market returns than bonds from the largest Wall Street banks, according to recent analysis. Bond investors have begun pushing back on pricing and terms as supply expectations mount, signaling potential strain on credit market capacity to absorb this volume.
Morgan Stanley notes that the fundamental economic backdrop remains strong, but bond price action is being mostly driven by supply expectations. The brokerage added that while the terms of private credit loans to AI-related companies do not differ markedly from those to companies in other sectors, the sheer volume of issuance is testing market appetite for long-dated tech debt.
Sources
- Reuters — Morgan Stanley AI debt forecast, May 31 and full-year 2026 projections, hyperscaler capex estimates, and debt issuance acceleration trends
- Quartz — October 2025 AI-linked debt reaching $1.2 trillion, largest segment in investment-grade market
- TCW — AI infrastructure financing multi-channel shift and credit market restructuring
- Bloomberg — Tech company debt influence on market returns and investor pushback on pricing
