AI Infrastructure Financing Boom: U.S. Treasury Supply to Reach $500 Billion in 2026

Overview

Morgan Stanley’s report highlights that AI infrastructure development is emerging as one of the largest capital cycles in today’s markets, with the credit market serving as its primary financing channel. The report forecasts a substantial surge in global AI‑related fixed‑income issuance by 2026, with the U.S. market alone expected to reach $500 billion. While robust demand for AI computing power and structural electricity supply constraints underpin the underlying fundamentals, over the next 12 months, credit‑market pricing will be driven primarily by technical factors—such as fluctuations in issuance expectations and shifts in investor appetite. The firm advises investors to shift from a top-down, AI‑centric thesis to a more granular focus on specific structures and relative value, favoring high‑yield data‑center bonds and BBB‑rated tranches within asset‑backed securities, while maintaining a cautious stance toward investment‑grade technology bonds.

Core views

Expansion in Financing Scale and Structure: The report projects that by 2026, AI- and data-center‑related issuance in the U.S. fixed-income market will reach $500 billion, comprising $400 billion of investment-grade (IG) bonds, $65 billion of leveraged finance (Lev Fin), and $35 billion of securitized credit (Sec. Credit). This figure represents a substantial increase over the roughly $185 billion currently outstanding. Meanwhile, overseas markets have already seen $50 billion of IG bonds issued by hyperscale issuers, with euro‑denominated hyperscale bond issuance expected to total €45–50 billion this year. The five major tech giants—Microsoft, Google, Meta, Amazon, and Oracle—are projected to collectively spend over $800 billion on capital expenditures in 2026, rising further to $1.1 trillion in 2027, underscoring the pivotal role of global credit markets in supporting this wave of infrastructure investment. Fundamental vs. Technical Discrepancy: On the fundamentals front, AI compute demand continues to grow rapidly—e.g., weekly token usage has surged year over year—while supply constraints on power and licensed assets persist. This supply‑demand imbalance underpins the economic returns across the AI value chain. However, the report highlights that fundamentals are no longer the primary driver of market outcomes. Instead, pricing dynamics in the credit markets are increasingly shaped by evolving issuance expectations and how investors price the scale, complexity, and structure of these offerings. Over the next 12 months, the size and timing of supply across corporate bonds and securitized credit will be the key determinants of yield spreads. Investment Strategy and Relative Value: In the corporate credit space, institutions recommend underweighting the investment-grade (IG) technology sector. While hyperscale issuers boast strong credit quality, their effective leverage has risen through off‑balance-sheet mechanisms such as leasing and guarantees, and large‑scale issuances may test rating‑constrained debt capacity, resulting in an asymmetric risk‑return profile. By contrast, institutions advise overweighting high-yield (HY) data‑center bonds. These securities typically feature project‑finance‑style structural enhancements—such as sinking funds, principal amortization, and construction guarantees—and currently trade at spreads roughly 50 basis points wider than the BB index, offering adequate compensation for construction and refinancing risks. In the securitized credit arena, institutions identify the most compelling relative value opportunities in BBB‑rated tranches of data‑center asset‑backed securities (ABS). Although AAA‑rated issues have attracted fresh demand, BBB‑rated tranches—with spreads in the 200–300 basis point range—remain attractively priced relative to comparable IG‑guaranteed bonds. Given the structural imbalances between compute supply and demand, these assets are expected to deliver long-term durability and competitive rental rates over the next decade. Meanwhile, commercial mortgage‑backed securities (CMBS) also present more appealing entry points than corporate credit; newly issued data‑center CMBS with AAA ratings are trading at spreads of 165–170 basis points, providing a notable yield premium.

Analysis framework

Supply–Demand and Capital Expenditure Projections: Institutional analysts begin by dissecting the capital expenditure (Capex) plans of the five major tech giants to infer their financing needs. Drawing on data from the equity research team, they estimate the total cost of data center construction—covering both infrastructure and hardware—for the 2026–2028 period, identifying a “financing gap” of approximately USD 1.5 trillion that must be addressed through debt markets. This approach directly maps real‑economy capital spending to the supply side of financial markets. Multi‑Dimensional Risk Decomposition: When assessing the value of various credit instruments, institutions do not rely solely on credit ratings. Instead, they decompose risk into three core dimensions: (1) Construction Risk—distinguishing between asset‑backed securities (ABS) that have already generated cash flows and investment-grade (IG) or high-yield (HY) bonds still under construction; (2) Tenant Risk—analyzing lease durations, amortization schedules, and the likelihood of tenant renewals, with particular emphasis on the differing risks associated with single-tenant versus multi-tenant structures; and (3) Macro/Thematic Risk—evaluating the potential impacts of an overall decline in computing demand or technological obsolescence. Through this structured analysis, institutions explain why seemingly high‑risk HY bonds can remain attractive due to structural safeguards, while ostensibly safe IG bonds are downgraded owing to supply pressures and leverage concerns. Cross‑Regional Liquidity and Arbitrage Analysis: For the European market, analysts examine the trend of “reverse Yankee bonds”—U.S.-based issuers raising funds in Europe. By comparing the depth and liquidity of the U.S. dollar and euro markets, as well as the cost differentials arising from currency swaps, they highlight that the European market not only offers investors diversification but also serves as a natural hedge, aligning with European‑denominated revenues. Moreover, current euro‑denominated issuance costs remain relatively favorable, explaining why ultra‑large issuers are increasingly shifting toward euro‑denominated debt.

Methodology notes

• Industry/ Sector Analysis FrameworkSupply-and-Demand Framework

  Growth in computing power demand amid bottlenecks in electricity and asset supply

  The core logic of the research report rests on the contradiction between the explosive growth in AI computing demand and the structural shortages in power supply and licensed‑asset capacity. This supply–demand imbalance not only underpins high rents and robust utilization rates in data centers but also generates substantial capital‑expenditure requirements, which in turn translate into a massive increase in credit‑market supply.

• Fixed Income and Credit AnalysisInterest Rate Spread and Asset Quality

  Structural Protection and Relative Value Exploration

  In credit‑bond analysis, institutions not only scrutinize credit ratings but also place greater emphasis on the bond’s structural covenants—such as amortization schedules, guarantees, and reserve accounts. Research reports note that although high‑yield data‑center bonds carry low ratings, their project‑finance–style structural protections render their underlying risks manageable, while the spreads offer adequate risk compensation, exemplifying an analytical approach that “looks beyond ratings to assess the structure.”

• Company Fundamentals and Financial FrameworkOperating/Financial Leverage Analysis

  Off-Balance-Sheet Leverage and Rating Capacity

  When assessing hyperscale‑level issuers, institutions have highlighted the practice of increasing effective leverage through off‑balance‑sheet arrangements such as leasing and guarantees. This implies that even if an issuer’s stated credit rating remains stable, its underlying debt burden and the risk of a downgrade may be mounting—underscoring a critical lens for identifying potential risks in credit analysis.

Key data

• 2026 U.S. Forecast for AI-Related Fixed-Income SupplyUS$500 billionIncluding 400 billion in IG, 65 billion in Lev Fin, and 35 billion in Sec. Credit
• Total Capex of the Five Major Tech Giants in 2026Over US$800 billionExpected to rise to US$1.1 trillion in 2027.
• Data Center Construction Cost EstimationUSD 10–15 million per MWFor the construction component alone, excluding hardware; when including high-end chips, the cost can exceed US$40 million per MW.
• Average yield spread of HY data center bonds~50bpWider than the BB Index (rating-adjusted)
• ABS BBB-rated spread range200 to 300 basis pointsIt is considered to offer relative value compared to IG-guaranteed bonds.
• 2026 Euro-Scale Issuer Issuance ForecastEUR 45–50 billionReflecting the increasingly pivotal role of the European market in AI financing.

Impact & implications

For the credit market, the surge in AI‑related infrastructure financing is placing substantial pressure on the supply side, particularly in the investment-grade segment. This could lead to a widening of IG technology bond spreads, with such bonds underperforming other fixed-income sectors. For investors, a simplistic “buy AI” strategy is no longer viable; they must delve into the underlying asset structures and risk profiles. High-yield bonds and securitized products (ABS/CMBS), offering higher yields and tailored structural protections, have emerged as preferred vehicles for capturing the upside from AI‑driven infrastructure while mitigating the impact of IG supply pressures. Meanwhile, the European bond market, benefiting from improved liquidity and natural hedging advantages, is poised to become a key supplementary funding source for global tech giants, reshaping the traditional dominance of the U.S. dollar.

Risks

• The AI-driven monetization process has fallen short of expectations, leading to a deceleration in the growth of computing power demand.
• The bottleneck in power supply has eased rapidly, thereby diminishing the scarcity premium of existing data centers.
• Construction delays or cost overruns may adversely affect the cash flows of project‑financing bonds.
• The issuance of large-scale bonds has tightened market liquidity, causing credit spreads to widen significantly.
• Macroeconomic downturns are weighing on the earnings of tech giants, which in turn is spilling over to their credit profiles.

What to watch

• Quarterly capital expenditure guidance and financing plans for ultra-large issuers
• Pricing of New Issuances and Secondary Market Spread Trends for Data Center ABS and CMBS
• Progress in Power Infrastructure Development and Changes in Policy Regulation
• Construction progress and tenant leasing status of high-yield data center bonds