Wall Street is aggressively seeking to refinance and offload $15 billion in Google-backed AI data center debt, signaling market concerns about leverage concentration in hyperscaler infrastructure buildout.
Financial institutions are growing hesitant to carry AI debt liabilities, including the banks financing the Google-sponsored Texas data center campus under lease to Anthropic. According to insiders, the project's lenders—including Morgan Stanley—intend to offload their debt commitments for the 2,000-acre Texas campus by selling bonds as soon as the loans are drawn. This shift aims to reduce AI risk exposure and free up vital capital for these lenders.
The change reflects a wider transformation in how Wall Street finances AI infrastructure. Lenders remain eager to participate in the sector's growth but are increasingly reluctant to hold large AI-related loans on their own balance sheets. Data center developments require billions of dollars in upfront investment, long construction timelines, and depend on sustained demand from AI companies whose long-term revenue prospects remain uncertain. By selling debt through bond markets, banks can recycle capital while limiting exposure to a single high-risk sector.
The infrastructure financing market faces significant strain from massive AI funding needs. Construction, energy, and other infrastructure costs run well into the billions of dollars. Google anchored its Texas campus project with an extensive network of deals and a financial program exceeding $150 billion, spanning from hardware manufacturing to data center construction.
The financial structure relies on a syndicate including Broadcom, Apollo, Blackstone, and Morgan Stanley to backstop the core debt package. If Anthropic fails and chips decline in value, Broadcom covers the gap. Apollo and Blackstone also extend private credit via an SPV that leases hardware to Anthropic, with Morgan Stanley serving as financial adviser and lender. A Google executive noted: "This is each of us putting our balance sheet to work. We're doing it on the data center side, [Broadcom's] doing it on the chip side." Google expects approximately a 20% equity stake in the Hubbard, Texas campus.
The project will use an on-site natural gas plant to eliminate grid delays and reduce energy costs. However, the sheer volume of upcoming data center builds in Texas is already sparking concerns over grid capacity, water shortages, and rising utility rates. Fusing data center and power assets complicates funding structures, as lenders must evaluate two distinct risk profiles simultaneously. In Project Walleye—a parallel Meta data hub with dedicated energy supply—lenders demanded and received inflated yields to underwrite dual-asset risk.
For the Texas campus, sources indicate the $15 billion debt will be carved into multiple bond sales mirroring a delayed-draw feature, allowing developer Nexus Data Centers to draw funds sequentially as construction reaches designated milestones. Some financing may be structured as leveraged loans. The bonds could carry a speculative-grade rating since Google's backstop remains contingent on full completion. Investors face construction delay and budget overrun risks.
Despite these challenges, investors remain interested because the project is backed by Google and Anthropic. Infrastructure-linked assets attract strong demand as they often outperform investment-grade debt. Pricing still reflects construction risk and project timeline uncertainty before Google's guarantees take effect.
The bond market has become the preferred funding source for AI projects, offering faster and less expensive capital than bank loans. Recently, banks have aggressively tried to unload $50 billion in Oracle infrastructure loans through risk-transfer markets to shield themselves from exposure.
Analysts say the Texas financing outcome could influence how future AI infrastructure projects are funded. If investors absorb the bonds without demanding significantly higher yields, other technology companies may adopt similar financing structures for multi-billion-dollar data center developments. Conversely, weak demand or wider credit spreads could increase borrowing costs and reshape bank participation in the AI infrastructure boom.