Marsh Lobbies the Fed to Ease Capital Rules on Insured AI Data Center Loans
MARSH PUSHES FED TO EASE BANK CAPITAL RULES FOR AI LOANS Marsh ($MRSH) is lobbying US regulators to reduce capital requirements on bank loans protected by credit risk insurance, as AI data-center lending surges. Barclays is seeking insurance on over $10B in data-center debt, while HSBC is exploring similar deals. With global data-center spending projected to reach $6.7T by 2030, lenders are seeking ways to offload AI credit risk. A Fed decision could come by year-end.
Context
Cheaper bank capital for data center loans could keep money flowing into AI construction even as risks grow.
Marsh is a large insurance broker. Banks must hold capital against the loans they make, and insurance on credit risk can lower how much they need. Walter Bloomberg, posting as DeItaone, summarized the report.
Deep dive
Walter Bloomberg, posting as DeItaone, reported that Marsh is lobbying US regulators to reduce capital requirements on bank loans protected by credit risk insurance, as lending for AI data centers surges.
According to the post, Barclays is seeking insurance on more than $10 billion in data center debt, and HSBC is exploring similar deals. The post said global data center spending is projected to reach $6.7 trillion by 2030, and that lenders are looking for ways to offload AI credit risk. It said a Federal Reserve decision could come by the end of the year.
The post does not name the source of the $6.7 trillion projection or describe the exact rule change Marsh wants. It also does not say whether other insurers or banks back the request.
The effort matters because AI data centers are being financed more and more with debt, not only with cash from large tech companies. If regulators let banks hold less capital against insured loans, lending could expand, while critics may worry about risk moving into less visible corners of the financial system.
What to expect next
Watch for a Federal Reserve decision by year end and for comments from other regulators. More banks may seek insurance on data center loans, and analysts will track how much AI debt sits with banks versus private credit. Any sign of trouble at a large data center borrower would put this kind of risk transfer under sharper scrutiny, and could slow new lending for AI construction.