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"Bailey Says AI Regulation Is Not the Right Starting Point as BOE Flags Market Risks"

Bank of England Governor Andrew Bailey said regulating artificial intelligence is “not the right place to start,” arguing that policymakers should first understand how the technology is being used before rushing to impose rules. His remarks came as the central bank warned that an AI-driven surge in asset prices could leave global markets vulnerable to a sharp correction, with spillovers into equities, government bonds and broader financial stability.

Bailey Says AI Regulation Is Not the Right Starting Point as BOE Flags Market Risks

R

RDU Global Wire

Global Markets & Equities Desk

London, United Kingdom Recently•5 min read

Bank of England Governor Andrew Bailey said regulating artificial intelligence is “not the right place to start,” arguing that policymakers should first understand how the technology is being used before rushing to impose rules. His remarks came as the central bank warned that an AI-driven surge in asset prices could leave global markets vulnerable to a sharp correction, with spillovers into equities, government bonds and broader financial stability.

Bank of England Governor Andrew Bailey has cautioned against making regulation the first response to the artificial intelligence boom, even as the central bank warns that the technology could amplify market stress if investor enthusiasm outruns fundamentals. Speaking in remarks reported by the BBC, Bailey said the priority should be to understand how AI is being deployed across the economy before deciding where, and whether, new rules are needed.

The comments land at a delicate moment for global markets. AI has become one of the dominant forces driving equity valuations, especially in the United States, where a narrow group of technology companies has accounted for a large share of index gains. That concentration has fuelled debate over whether markets are pricing in a prolonged productivity revolution or simply extrapolating near-term excitement into unsustainable valuations. The Bank of England's latest warning suggests policymakers are increasingly concerned that the answer may matter far more than investors currently assume.

Caution Before Rules

Bailey's message was not a rejection of oversight, but a warning against premature intervention. His argument reflects a broader regulatory dilemma: AI is evolving too quickly for static rules to remain effective, yet waiting too long could leave financial markets and consumers exposed to misuse, opacity and systemic risk. For central bankers, the challenge is especially acute because AI is not just a standalone technology sector story. It is now embedded in trading systems, credit analysis, fraud detection, corporate operations and the pricing of risk across asset classes.

The Bank of England has already signalled that it sees AI as a potential source of market instability if it contributes to herd behaviour, model crowding or overconfidence in automated decision-making. In a market where many participants may rely on similar data, similar models and similar assumptions, a shock can spread quickly. That concern is particularly relevant in equities, where AI-linked stocks have become a crowded trade, and in credit markets, where investors may be underestimating how quickly sentiment could reverse.

Valuations Under Strain

The central bank's warning about a possible "sharper correction" in valuations underscores the scale of the risk. If AI adoption fails to deliver the earnings growth investors are expecting, the repricing could be abrupt. That would not only affect technology shares but could also ripple through pension funds, asset managers and households exposed to equity markets through savings vehicles and retirement accounts.

The Bank of England also highlighted a separate but related vulnerability in government bond markets. If the AI boom disappoints, or if it coincides with a broader growth miss, investors could reassess the outlook for inflation, interest rates and fiscal sustainability at the same time. That combination would be especially uncomfortable for sovereign debt markets, where valuations remain sensitive to shifts in growth expectations and borrowing needs.

The warning is notable because it links AI not merely to innovation but to macro-financial fragility. In other words, the issue is no longer whether AI can improve productivity over the long term. It is whether the market's current enthusiasm has created a one-way bet that could unwind violently if the technology's economic payoff arrives more slowly than expected.

Policy Lag And Market Risk

Bailey's remarks also expose a timing problem for regulators. By the time a formal rulebook is drafted, AI may already have reshaped trading, lending and corporate decision-making. Yet moving too quickly could produce blunt regulation that stifles useful innovation without addressing the most dangerous risks. That is why central banks and supervisors are increasingly leaning toward monitoring, stress testing and targeted oversight rather than sweeping first-move restrictions.

For investors, the message is clear: AI remains a powerful growth narrative, but it is also a source of valuation risk and potential market dislocation. The Bank of England is effectively warning that the same forces driving optimism in equities could, under the wrong conditions, trigger a correction across multiple asset classes. Bailey's call to avoid starting with regulation should not be read as complacency. It is a signal that policymakers want a clearer map of the terrain before they draw the boundaries.

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Reported by RDU Global Correspondent. Formatted and verified using real-time institutional and journalistic wire feeds. Independent reporting adhering to the RDU Global Editorial Code of Conduct.

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