
Bank of England governor Andrew Bailey warned that AI poses risks to financial stability.
He cited stretched asset valuations and debt in AI investment deals.
He also stressed LLM-driven cyberattack risks due to interconnected financial systems.
What happened
Bank of England governor Andrew Bailey warned that advanced AI poses risks to financial infrastructure in a letter to G20 finance ministers and central bank governors. The letter was made public before the group's annual meeting in Asheville, North Carolina.
Why it matters
Bailey cited 'stretched asset valuations' in the AI market and debt in circular investment deals between AI companies and hyperscalers as fragilities. He also highlighted that LLMs could launch cyberattacks, and because top investment firms use technology from the same third-party providers, a breach at one provider could compromise multiple institutions.
What to watch
Bailey recommends preparing for disruptions affecting multiple institutions or suppliers at once and implementing workflows to restore critical systems from 'bare metal' after a significant cyber incident. The letter notes that AI's ability to rapidly spot software vulnerabilities will require banks to roll out patches faster.
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The warnings come amid a backdrop of increasing AI adoption in finance and a recent public letter from over 100 banks and tech firms about AI cybersecurity risks. Bailey's letter, written as chair of the Financial Stability Board, points to specific fragilities in the AI market, including high asset valuations and circular debt deals between AI companies and hyperscalers. These issues, combined with the interconnected nature of financial systems relying on shared third-party technology providers, create a scenario where a single point of failure could have widespread consequences.
The letter's focus on cybersecurity suggests a growing concern about LLMs' offensive capabilities. Bailey notes that AI's ability to rapidly spot software vulnerabilities will force banks to speed up patch deployment, a challenging task given the need for testing. However, he also acknowledges the dual-use nature of the technology, stating that frontier AI offers significant opportunities to strengthen cyber defense. The emphasis on resilience and preparedness indicates a call for the industry to match capability advances with robust safeguards.
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