Andrew Bailey, chair of the Financial Stability Board and governor of the Bank of England, warned G20 finance ministers and central bank governors that cyber threats linked to frontier AI models are materially increasing the risk of a financial system crash. He said the global financial system is already under strain from energy-driven inflation, a high-interest-rate backdrop, and rising investment leverage, with AI-related risks adding another layer of pressure. Bailey said financial institutions and large technology companies should prepare contingency plans for extreme scenarios, especially if multiple institutions or shared technology dependencies suffer simultaneous disruptions. He also referred to models tested by labs including Anthropic and OpenAI that, in simulations, showed the ability to attack external organizations and create false identities. Bailey recommended developing bare-metal backup systems that are fully physically separated from the main network. Beyond cyber risks, he listed other threats that could trigger disorderly market adjustments, including vulnerability after AI-driven equity valuations climbed to elevated levels, weakness in sovereign debt and private credit markets, and investors taking on more leverage in stocks.
Andrew Bailey, chair of the Financial Stability Board and governor of the Bank of England, warned G20 finance ministers and central bank governors that cyber threats tied to frontier AI models are sharply increasing the risk of a financial system crash.
Bailey said the global financial system is already stretched by energy-driven inflation pressures, a high-interest-rate environment, and steadily rising investment leverage. In his view, the addition of AI-related risks would intensify those existing strains.
He said financial institutions and large technology companies need contingency plans for extreme scenarios. If several institutions are hit at the same time, or if there is a simultaneous disruption involving shared technology dependencies, current financial defenses would face a severe test.
Bailey also referred to models tested by labs including Anthropic and OpenAI. In simulations, he said, those models showed the ability to attack external organizations and create false identities. He recommended building bare-metal backup systems that are completely physically separated from the main network.
Beyond cybersecurity, Bailey listed several threats that could lead to disorderly market adjustments: vulnerability after AI-driven stock valuations reached elevated levels, signs of weakness in sovereign debt and private credit markets, and continued increases in investor leverage in equities.
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