Morgan Stanley Seeks to Unbundle Risks in a World Where AI Demands More Capital Than Ever

Morgan Stanley, one of the leading financiers of the global AI revolution, is exploring a strategic move aimed at reducing the concentration of risks arising from massive financing of data centers. Sources involved say the bank is conducting preliminary talks with institutional investors regarding a Significant Risk Transfer (SRT) transaction—a mechanism through which banks sell credit exposure and reduce capital requirements.

The proposed deal is linked to a loan portfolio of companies operating in AI infrastructure and data centers, a sector expanding at a pace even the banking system struggles to handle. While SRT transactions have become common in the credit market, projects related to AI data centers still represent a relatively small segment—albeit one that is rapidly gaining momentum.

According to sources, the bank is also considering other risk-hedging alternatives, and discussions are still in early stages. There is no certainty that the move will mature into an official deal.

AI Investment Boom Overloads Banks—SRT Becomes a Popular Solution

In recent years, Morgan Stanley has led aggressive financing in AI infrastructure. As recently as October, the bank completed over $27 billion in debt financing, alongside $2.5 billion in equity for the company developing Meta’s Hyperion data center project in Louisiana—one of the largest sites in the world.

The bank was also the lead arranger for debt financing of TeraWulf, Cipher Mining, and Applied Digital, with a significant portion of proceeds dedicated to building new data centers for AI applications and mining.

According to Morgan Stanley’s research unit, major cloud computing companies are expected to invest around $3 trillion in data center infrastructure by 2028. However, their cash flow will cover only about half of the amount, with the remainder coming from the financial markets, primarily through debt.

The implication: global banks are accumulating very high exposure to a small number of massive clients.

Risk Concentration: Oracle as a Warning Sign

One tangible sign of market concern involves Oracle. The company, which has adopted a highly leveraged strategy to finance AI expansion, has seen a sharp increase in CDS prices in recent months, reflecting the cost of credit protection against default.

According to a Morgan Stanley report, the increase is mainly due to fears that excessive banking concentration in data center construction projects could burden a limited number of lenders—a risk the bank is now trying to mitigate through the SRT.

SRT as a New Standard: Morgan Stanley Isn’t Alone

This year, the bank has already marketed an SRT transaction on a loan portfolio to private market funds, and the hedging trend is expanding. Citigroup, J.P. Morgan, and Goldman Sachs have also offered similar transactions to institutional clients over the past year.

A Bloomberg Intelligence survey projects the global SRT market to grow at a substantial 11% annually over the next two years, driven by demand from banks seeking to free up capital, reduce risky exposure, and maintain lending capacity.

What was once a technical niche in risk management is now becoming a core part of the financial system’s infrastructure in the AI race.