What's happening
Morgan Stanley has forecast that AI-related global debt issuance will more than double in 2026, reaching nearly $570 billion by year-end, according to a report cited by Reuters on June 10, 2026. The projection reflects accelerating bond supply from major technology companies seeking to fund large-scale AI infrastructure investments. As of May 31, 2026, AI-related global debt issuance had already reached nearly $236 billion — a fourfold increase compared to the equivalent period in the prior year — indicating that the pace of issuance is running well ahead of 2025 levels.
The primary drivers of this issuance are the hyperscalers: companies such as Oracle, Amazon, Alphabet, and Microsoft, which operate some of the world's largest cloud and AI infrastructure platforms. These firms are increasingly tapping debt capital markets to finance capital expenditure programs tied to AI data centers, compute infrastructure, and related buildouts. The shift toward bond financing represents a notable evolution in how the sector's largest players are structuring their balance sheets to accommodate the scale of investment that AI infrastructure demands.
Why it matters for markets
The near-fourfold year-over-year increase in AI-related debt issuance through May 31, 2026 — from a comparatively modest base to nearly $236 billion in under five months — illustrates the speed at which technology companies are absorbing capital from fixed-income markets. If Morgan Stanley's full-year forecast of nearly $570 billion is realized, AI-related debt would represent a significant and growing share of overall corporate bond supply globally, with implications for credit spreads, investor allocation, and the broader fixed-income market's capacity to absorb technology sector paper.
For the hyperscalers themselves, the preference for debt over equity financing carries distinct balance sheet consequences. Companies with revenues at the scale of Amazon ($742.78 billion), Alphabet ($422.50 billion), and Microsoft ($318.27 billion) have the credit profiles to access bond markets at competitive rates, but sustained large-scale issuance will increase leverage ratios and interest obligations over time. Oracle, with revenue of $64.08 billion and a market capitalization of $578.83 billion, has historically carried a more leveraged balance sheet relative to its mega-cap peers, making its participation in this debt issuance trend particularly relevant for fixed-income investors monitoring its credit metrics.
The structural shift from equity to debt financing also has implications for equity holders. Debt-funded capex avoids dilution but increases financial obligations, meaning that the return profile of AI infrastructure investments — and the timeline over which those investments generate revenue — will become increasingly important to credit analysts and equity investors alike. The scale of projected issuance suggests that AI infrastructure spending is being treated by these companies as a long-duration investment warranting long-duration financing.
Sectors and assets to watch
The four hyperscalers named in Morgan Stanley's analysis — Oracle (ORCL), Amazon (AMZN), Alphabet (GOOGL), and Microsoft (MSFT) — are the central actors in this debt issuance trend. Oracle operates Oracle Cloud Infrastructure (OCI) as its primary AI and cloud platform, while Amazon's AWS dominates cloud computing and provides AI tools to enterprises. Alphabet's Google Cloud and Microsoft's Azure are the other two pillars of the hyperscaler landscape, and all four companies are directing substantial capital toward AI data center expansion and compute capacity. Bond market participants, credit rating agencies, and fixed-income portfolio managers with exposure to investment-grade technology debt will be closely monitoring issuance volumes, deal structures, and covenant terms as this wave of supply continues.
Beyond the hyperscalers directly, the broader AI infrastructure supply chain — encompassing data center construction, power infrastructure, and semiconductor supply — stands to benefit from the capital being mobilized through these debt markets. Financial institutions acting as underwriters and bookrunners for these bond offerings also have a direct stake in the volume and pace of issuance. The intersection of technology and capital markets represented by this trend places it squarely at the boundary of the Technology and Financials sectors.
What to watch next
Market participants should monitor whether AI-related debt issuance continues at the pace implied by the May 31 figure of nearly $236 billion, and whether the trajectory remains consistent with Morgan Stanley's full-year forecast of nearly $570 billion. Key data points to track include individual bond offerings from Oracle, Amazon, Alphabet, and Microsoft — including deal sizes, maturities, and credit spreads relative to benchmarks — as well as any guidance these companies provide on capital expenditure plans in upcoming earnings disclosures. Shifts in credit ratings, changes in leverage ratios, or any signs of indigestion in the investment-grade corporate bond market's capacity to absorb continued technology sector supply would represent material developments for this story.