From automating back-office functions to enhancing risk modelling and client analysis, firms are already reporting meaningful cost savings and sharper decision-making. The Bank’s Financial Policy Committee has been explicit: heavy reliance on a small number of AI providers could create single points of failure. If key models or infrastructure providers are disrupted, the knock-on effects could ripple rapidly through trading, pricing and liquidity provisions. AI systems trained on similar data and models may respond to shocks in highly correlated ways, potentially exacerbating market volatility. The Bank of England’s message is clear: AI offers tangible economic benefits, but it must be embedded carefully within the financial system.