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- Europe’s regulators and central bankers warn that rulemaking is struggling to keep pace with rapid advances in AI.
- Officials recognize the productivity boost offered by AI — but also the developing risks.
- Investors say that while AI spending is helping drive U.S. outperformance, Europe’s bank-based financial system leaves it with fewer financing channels for AI investment.
Financial regulation is struggling to keep pace with the rapid development of artificial intelligence, according to European policymakers, who are grappling with how to support adoption while containing risks to market integrity and stability.
Nikhil Rathi, CEO 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 highlighted the efforts of Britain’s Financial Stability Board on frontier AI, as well as the creation of the AI Safety Institute in the U.K., as part of a broader drive to help policymakers, regulators and businesses better understand the risks and adopt the technology safely.
Christine Lagarde, president of the European Central Bank, said AI is a source of productivity and gains. But, in an interview with France’s Les Échos, she also warned that the technology also poses a “major risk.”
“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.”
watch nowVIDEO08:51FCA CEO: Not going to put in lots of new, detailed rules on AISquawk Box Europe
Her comments came after AI’s impact on productivity and market integrity emerged as a key talking point at the ECB’s annual meeting in Sintra, Portugal — Europe’s version of the Jackson Hole symposium — this week.
Sarah Breeden, deputy governor of the Bank of England, said agentic AI could amplify volatility during bouts of market stress.
In her Sintra speech Tuesday, Breeden said that, for now, trading firms mainly use autonomous AI for lower-risk operational tasks, such as research. “But that could change quickly,” she said.
Guardrails and circuit breakers?
Increased use of agentic AI in financial markets may require greater oversight, she said, such as guardrails “analogous to circuit breakers or kill switches” that would “limit or stop trading market-wide if faulty AI models cause market meltdown.”
But top bankers and regulators also recognize that Europe is lagging in AI investment and the development of frontier companies driving breakthroughs.
Boris Vujčić, vice-president of the European Central Bank, said: “Europe is now in a situation where… it has to, of course, develop its own capabilities in the AI sphere. There has also been a lot of talk about sovereignty issues in the AI sphere. 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.”
watch nowVIDEO08:07’Potential rate of growth in Europe is still very low’: ECB’s VujčićSquawk Box Europe
Rathi said market authorities ultimately need to strike a better balance on such rapidly-evolving technology.
He said that while tech innovation offers exciting opportunities for the U.K., particularly when it comes to the country’s productivity and growth challenges, it is critical that markets are not exposed to risks that regulators cannot yet fully monitor.
“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, for example, on financial crime and AI risks, to be able to make sure we secure our objective of market integrity,” he said.
He added: “We don’t want to stand in way of adoption but we need to be transparent about where risks lie.”
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