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Central bankers sound alarms over agentic AI finance risks
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- DeepHorus
European central bankers and regulators are sounding alarms over the financial stability risks posed by agentic artificial intelligence, warning that current rulemaking frameworks are too slow to keep pace with rapid technological advancements. At the European Central Bank’s annual meeting in Sintra, Portugal, on Tuesday, Bank of England Deputy Governor Sarah Breeden questioned whether guardrails like "circuit breakers or kill switches" are needed to prevent faulty AI models from causing market meltdowns. The warnings come as US companies lead in AI investment, and Europe's financial system offers fewer capital channels into AI compared to US equity markets, creating a regulatory dilemma.
Agentic AI refers to systems that can autonomously make decisions and take actions, potentially amplifying volatility during market stress. Breeden highlighted that debt financing for AI-related assets is rising rapidly, increasing the financial stability consequences of any downturn. Earlier, on June 28, the Bank for International Settlements warned that AI "exuberance" could lead to a sharp pullback in asset prices if central banks tighten policy to contain inflation, triggering disruptive macro-financial feedback loops.
ECB President Christine Lagarde, in an interview with Les Echos on Thursday, described AI as a "major risk," noting that while cybersecurity threats have been discussed for a decade, AI's acceleration and the lack of adequate defense funding pose a much more serious challenge. Meanwhile, Nikhil Rathi, CEO of the UK's Financial Conduct Authority, told CNBC's Squawk Box on Thursday that technology now moves in weeks or months, rendering traditional rulemaking cycles obsolete. He called for new tools and a more collaborative approach with the AI market.
Tobias Adrian, Director of the IMF’s Monetary and Capital Markets Department, pointed out a potential maturity mismatch between the duration of physical assets and the debt used to finance them. This mismatch could exacerbate financial instability if AI-related asset prices decline. These concerns echo previous warnings from central bankers about crypto's potential to disrupt the financial system, but the speed and complexity of AI make it a distinctly urgent issue.
The implications are significant: overzealous regulation could widen the AI investment gap between Europe and the US, as AI companies may seek jurisdictions with lower compliance costs. Conversely, insufficient oversight could leave the financial system vulnerable to AI-driven shocks. Central bankers are thus grappling with a delicate balancing act between fostering innovation and ensuring stability.
Looking ahead, regulators are exploring new frameworks that enable faster adaptation to technological change. Rathi emphasized the need for collaborative market engagement, while Breeden and others advocate for technical safeguards like kill switches. The debate will intensify as AI capabilities evolve, with central banks likely to develop dynamic tools to monitor and mitigate risks in real time. The financial sector must prepare for a future where agentic AI plays an increasingly autonomous role.
