European Regulators Warn AI Is Outpacing Financial Rulemaking

Europe's top financial regulators and central bankers are sounding alarms that artificial intelligence is advancing faster than the rules designed to govern it, raising concerns about market integrity, financial stability, and the continent's competitive position in AI development.

Nikhil Rathi, chief executive of the U.K.'s Financial Conduct Authority, said the traditional cycle of rulemaking "doesn't work" in an era of fast-moving technological change, particularly as agentic AI development accelerates.

"Technology moves incredibly fast, and we need to think differently about some of the innovations that we are seeing on AI," Rathi told CNBC's "Squawk Box Europe" on Thursday.

Rathi pointed to the work of Britain's Financial Stability Board on frontier AI and the creation of the U.K.'s AI Safety Institute as part of broader efforts to help policymakers, regulators, and businesses better understand the risks and adopt the technology responsibly.

Christine Lagarde, president of the European Central Bank, acknowledged AI as a source of productivity gains while also characterizing it as a "major risk." In an interview with France's Les Échos, she drew a direct contrast with prior technology threats.

"For about a decade now we have been talking about cybersecurity risks, hacking, data theft and so on," Lagarde said. "But with the acceleration and deepening of AI models, we are confronted with a much more serious risk, because it is happening very, very quickly, and because the means of defense — and the funding required for them — have yet to be found."

Her remarks came in the wake of the ECB's annual meeting in Sintra, Portugal — Europe's equivalent of the Jackson Hole symposium — where AI's impact on productivity and market integrity emerged as a central topic.

Sarah Breeden, deputy governor of the Bank of England, warned in a Tuesday speech at Sintra that agentic AI could amplify volatility during periods of market stress. She noted that trading firms currently use autonomous AI primarily for lower-risk operational tasks such as research, but cautioned that "could change quickly."

Breeden suggested that increased deployment of agentic AI in financial markets may require new oversight mechanisms — including guardrails "analogous to circuit breakers or kill switches" that would "limit or stop trading market-wide if faulty AI models cause market meltdown."

Beyond the risks of rapid adoption, officials also flagged Europe's lagging position in the global AI race. Boris Vujčić, vice-president of the ECB, said the continent faces a sovereign challenge in building its own AI capabilities.

"Europe is now in a situation where… it has to, of course, develop its own capabilities in the AI sphere," Vujčić said. "Europe has in the past shown it is capable of adapting new technologies…[to] lift productivity growth. [But] it has not always been at the frontier."

Investors have noted that while AI spending is helping drive U.S. market outperformance, Europe's bank-based financial system leaves it with fewer financing channels for AI investment — a structural disadvantage that compounds the regulatory challenge.

Rathi framed the path forward as a balancing act, calling for more collaborative engagement between regulators and market participants rather than a heavy-handed rulebook approach.

"The reality is some of these technologies now move in weeks, or months, and the traditional cycle of rulemaking simply doesn't work in that way, so we need to think about new tools and a different way of working with the market in a more collaborative way," he said, adding: "We don't want to stand in way of adoption but we need to be transparent about where risks lie."

With agentic AI capabilities expanding and European institutions still defining their supervisory frameworks, how quickly regulators can develop adaptive tools — rather than static rules — may determine whether oversight can keep pace at all.

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