Blog Post
Data center financing has matured rapidly and documentation is trying to keep pace
Data center financing has become one of the fastest-evolving asset classes in recent memory, according to speakers at the DealCatalyst Digital Infrastructure Finance conference. In 18 months the market has moved from triple-net leases with top-tier tenants to structures featuring assignability clauses, tighter DSCRs and lease extension rights.
The AI infrastructure buildout is a document challenge as much as a financing one. Developers are drafting leases, construction contracts and credit agreements in parallel with the facilities they underwrite, and in some cases before the power to run them is secured. The result is a stack of interdependent obligations where the weakest link may not surface until something breaks.
Market participants aren’t aligned on how this complexity resolves, but a few hypotheses are emerging. Skeptics flag systemic concentration risk. Optimists point to market depth: the U.S. corporate bond market can absorb hyperscaler issuance without hitting single-issuer concentration limits, and institutional buyers are differentiating by deployment type, market tier and developer rather than applying a blunt exposure cap.
The numbers behind the debate are already large. Octus analysis shows high-yield and unrated AI infrastructure issuers have raised more than $107 billion of committed and funded debt as of early May 2026, and projects that the largest non-IG issuers will need to raise over $400 billion of asset-level and corporate-level financing over the next four years to meet their publicly disclosed capacity targets. If AI, AI-adjacent and utility issuance were treated as a single sector, it would already be the largest segment of the U.S. corporate bond market.
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