AI infrastructure debt has become a larger part of the U.S. technology funding story as Microsoft, Meta, Alphabet, Amazon and Oracle expand data-center capacity. With bond issuance rising and lease commitments mounting, attention is shifting from access to capital toward how much that capital costs and how financing structures distribute risk.
Key Takeaways
- U.S. corporate AI-related debt issuance reached about $220 billion in 2026, according to Reuters, compared with $12.5 billion in 2025.
- The Bank of England said first-half 2026 bond issuance by five major AI hyperscalers had already exceeded their full-year 2025 issuance.
- Meta’s El Paso data-center venture carries about $14 billion in development costs, with $12.5 billion of debt financing supporting part of BlackRock’s contribution.
- Microsoft, Meta, Oracle, Amazon and Alphabet have about $1.09 trillion in future payments under leases that have not yet begun, according to company filings compiled by Reuters.
AI Infrastructure Debt Moves Into the Funding Mix
AI infrastructure debt is becoming more visible as large technology companies combine corporate bonds, leases and project-level financing to support data centers, chips, networking systems and power infrastructure.
Reuters reported on August 21 that U.S. corporate AI-related debt issuance had reached roughly $220 billion in 2026, compared with $12.5 billion in 2025. Technology bond spreads had widened to 89 basis points, about nine basis points above the broader high-grade corporate market.
The Bank of England identified a similar shift in its July Financial Stability Report. It said Meta, Alphabet, Amazon, Microsoft and Oracle accounted for more than 15% of year-to-date U.S. high-grade debt issuance by early May, despite representing only about 3% of outstanding high-grade debt at the end of 2025.
The development is part of a wider move toward AI infrastructure financing across the technology sector. The Bank of England said public debt, private credit, structured finance and bank lending all became more prominent during the first half of 2026.
Bond Supply Starts to Test Borrowing Costs
The immediate issue is not whether the largest technology companies can borrow. Most major hyperscalers entered 2026 with relatively low debt ratios and strong credit ratings, according to the Bank of England.
The question is how pricing responds as more debt reaches the market. Reuters reported that buyers had started demanding larger concessions on some technology bond offerings, while technology debt spreads moved above those of the broader high-grade corporate market.
Alphabet’s August 19 Australian dollar bond showed that demand remains available. The company raised A$5.5 billion, or about $3.89 billion, through its first Australian dollar bond, with maturities ranging from three to 20 years. Reuters reported that orders exceeded A$18 billion.
Microsoft’s spending plans show why access to several funding channels matters. The company said in April that it expected roughly $190 billion in capital expenditures during calendar 2026. During its fiscal third quarter, Microsoft recorded $31.9 billion in capital expenditures, with roughly two-thirds directed to shorter-lived assets, primarily GPUs and CPUs.
That asset mix adds another consideration to financing decisions. Long-duration borrowing can support facilities expected to operate for years, while the chips and servers housed inside them may have considerably shorter replacement cycles.
Leases and Project Financing Add Another Layer
Meta’s July 28 agreement with BlackRock illustrates how AI infrastructure funding can extend beyond a conventional corporate bond. The companies announced a venture to develop and own a data-center campus in El Paso, Texas, with approximately $14 billion in total development costs.
Funds managed by BlackRock will own 80% of the venture, while Meta will retain 20%. BlackRock is expected to contribute about $4.9 billion in cash, while part of its contribution will be funded through $12.5 billion of debt financing. Meta will contribute land and construction-in-progress assets valued at about $2.3 billion.
Meta will lease the entire campus under agreements with an initial four-year term and four extension options. The structure gives Meta access to the facility without carrying the entire development cost directly on its corporate balance sheet.
The arrangement also reflects wider data center expansion as technology companies seek computing capacity without relying on a single funding structure. Meta separately reported $31.08 billion in second-quarter capital expenditures and narrowed its 2026 outlook to between $130 billion and $145 billion.
Lease commitments add another dimension. Reuters reported on August 4 that Microsoft, Meta, Oracle, Amazon and Alphabet had collectively committed about $1.09 trillion to future payments under leases that had not yet begun, mostly for data centers. That compared with roughly $285 billion of lease liabilities already recognized on their balance sheets.
Those commitments are not the same as debt currently recorded on a balance sheet. Reuters noted that signed leases generally become recognized as liabilities when the relevant facility becomes available for use, leaving substantial contractual commitments outside reported lease liabilities until commencement.
For lenders, bond buyers and company finance teams, that distinction makes the funding picture more complex. Corporate debt, project debt, finance leases and future lease commitments can receive different accounting treatment while still influencing the long-term cost of securing computing capacity.
The central test for AI infrastructure debt is whether companies building large-scale capacity can preserve favorable financing terms while capital spending and contractual obligations continue rising. Current evidence shows continued access to funding, but wider spreads and larger concessions on some transactions have made the price of that access more visible.
Frequently Asked Questions
What is AI infrastructure debt?
AI infrastructure debt broadly refers to borrowing used to finance data centers, computing equipment, power systems and related infrastructure supporting artificial intelligence workloads. Financing can include corporate bonds, project-level debt and other credit structures.
How much AI-related debt has been issued in 2026?
Reuters reported on August 21 that U.S. corporate AI-related debt issuance had reached about $220 billion in 2026, compared with $12.5 billion in 2025. The figures illustrate the increased role of external financing in the AI infrastructure buildout.
How large are Big Tech’s future lease commitments?
Microsoft, Meta, Oracle, Amazon and Alphabet have about $1.09 trillion in future payments tied to leases that have not yet begun, according to company filings compiled by Reuters. Most relate to data centers and are separate from lease liabilities already recognized on company balance sheets.
