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The Bank of England is paying close attention to potential risks of AI on markets in a recent policy meeting. The central bank, which is responsible for keeping economic markets stable, is now asking what happens when AI shares drop causing leveraged investors run for the door, in turn causing debt backed by data center dreams to sour, and scenarios in which frontier models make cyber attacks faster than banks can patch their systems. This is pointing to AI playing a much bigger role in economic planning than other technology waves have in the past.
While a fund manager can buy the dip if markets collapse and then sell the rally, a central bank has a different job. It looks for the point where big market moves can have serious negative and destabilizing impacts on the economy. The Bank of England now sees that point approaching with AI.
Its Financial Policy Committee said AI related shares have helped push global equity markets higher, with gains driven by a narrow group of companies. It flagged rising index concentration, heavier hedge fund leverage, retail flows into exchange traded funds and rapid growth in leveraged ETFs. If earnings expectations crack, the Bank warned, those same forces could turn a short-term tech selloff into a much bigger and longer-lasting market event.
The New Risk Is Not Just Valuation
Investors and market-makers argue over AI multiples and whether company valuations are far outpacing their ability to generate revenues or otherwise realize value in the long run. This leads central bankers to ask who is financing the build out, and the long-term stability in doing so.
The Bank of England said AI companies’ use of debt and credit markets has accelerated with greater use of public debt, private credit, leveraged finance and structured finance. It called the pace of investment “unprecedented historically.” While the amount of debt is still modest currently and there’s no sign of immediate danger, the banks are highlighting the dangers of the financing of the AI industry. AI is not only a software story, but also increasingly about construction, power, manufacturing investors’ need for returns.
While equity investors can absorb large losses without pulling the banking system into trouble, credit adds lenders, covenants, collateral values, refinancing dates and off balance sheet structures. A data center can look like a gold mine in a spreadsheet until power costs rise, demand fluctuates, technology ages faster than expected or a borrower needs fresh cash in a tighter market.
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