Wall Street Reworks Financing for AI Data Centers

Wall Street banks are experiencing a surge in activity as they race to finance artificial intelligence (AI) data centers. Deal sizes are swelling into the tens of billions of dollars, prompting a significant shift in how these projects are funded.

The Scale of the Investment

Just a few years ago, a $100 million financing deal was considered a major milestone. Today, according to Adam Lewis, a managing director at Citizens, “If you can’t invest a billion dollars, we don’t even want to talk to you.” This reflects the escalating costs of land and electricity, pushing these projects beyond traditional commercial real estate loans and into large-scale infrastructure finance.

A $3 Trillion Opportunity

Citigroup estimates the total buildout of AI infrastructure could require $3 trillion by 2030, as outlined in an internal memo from the firm’s investment banking leaders in late February. To address this, Citi is establishing a dedicated AI infrastructure group to streamline internal processes and evaluate all available capital sources.

Tech Giants and the Need for External Funding

The immense scale of the AI buildout is straining the cash reserves of even the largest technology companies. While these “hyperscalers” need to remain competitive, the costs are becoming unsustainable to carry solely on their balance sheets. Fred Turpin, global chair of investment banking at JPMorgan, describes this as “the largest investment cycle in the history of capitalism.”

JPMorgan's Integrated Approach

To bridge this funding gap, JPMorgan has formed a firmwide working group pairing technology and energy experts with bankers specializing in private capital markets. This allows the bank to initially fund projects using its own balance sheet before connecting them to long-term capital from sovereign wealth funds, pension funds, and infrastructure investors.

Banks Adapt with Specialized Teams

Banks are utilizing multiple capital sources – including loans, bonds, private credit, and institutional investors – often combined into a single financing structure. Goldman Sachs has established a Capital Solutions Group to integrate origination, structuring, and capital distribution, drawing on expertise from debt, infrastructure, real estate, and equity capital markets.

Collaboration and Expertise

John Greenwood, a partner at Goldman Sachs, emphasized the importance of close collaboration: “We’re elbow to elbow with the bankers that cover sponsors so that we can ensure a direct line between our origination efforts and distribution efforts to financial sponsors.”

Morgan Stanley launched a data-center-focused task force in 2024, led by Richard Myers and William Graham. In 2023, they arranged a $2.6 billion financing for CoreWeave using Nvidia chips as collateral and a $27 billion bond deal for a Meta and Blue Owl joint venture.

Understanding the Complexities

Data centers present unique financing challenges, existing at the intersection of real estate, energy, and technology. Bankers must assess not only financial risks but also the feasibility of construction, power supply, and operational readiness. Adam Lewis of Citizens noted his team can now “read electrical diagrams and mechanical diagrams and understand land use permits and power configurations.”

Beyond the Cloud

Scott Wilcoxen of JPMorgan highlighted the physical reality behind cloud computing: “Most of us just assume it happens magically in some ephemeral thing called the cloud…But physically, what that actually means is there is effectively an unbroken physical connection between individual users and the data sources.”

Looking Ahead

Despite constraints on power, equipment, and labor, demand remains strong. John Greenwood of Goldman Sachs shared a client’s description of future data centers as “terrestrial,” suggesting potential expansion “on the bottom of the sea, or in space.”