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Agentic AI may require regulatory reform, BOE’s Breeden says - Finance news and analysis from Global Banking & Finance Review
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Agentic AI may require regulatory reform, BOE’s Breeden says

Published by Global Banking & Finance Review

Posted on June 30, 2026

3 min read

· Last updated: June 30, 2026

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Bank of England's Breeden signals new rules to govern agentic AI

By Phoebe Seers

Bank of England considers bespoke AI regulation for financial stability

LONDON, June 30 (Reuters) - The Bank of England on Tuesday signalled the need for bespoke AI regulation to contain risks to the financial system posed by increasingly capable agentic systems, in a potential shift in its approach to overseeing the technology. 

Potential regulatory gaps in current frameworks

Following years of insistence that existing frameworks were sufficient to mitigate AI risks, Deputy Governor Sarah Breeden said rapid developments in areas like agentic payments and trading had exposed potential gaps that could require a more sophisticated regulatory response. 

What is agentic AI?

Agentic AI can make decisions and operate autonomously.

Challenges of human oversight

"Our frameworks were not built to contemplate autonomous agents, and relying on a human in the loop for all agent actions is unlikely to be realistic," Breeden told the European Central Bank Forum on central banking in Portugal. 

Proposed measures for risk mitigation

Enhanced recovery and kill switches

ENHANCED RECOVERY AND KILL SWITCHES

Breeden said the BoE is considering whether banks need "enhanced recovery" for core systems, allowing one bank to take over another’s basic functions during a disruption. 

Other measures under consideration include fresh guardrails and circuit breakers or kill switches "that would limit or stop trading market-wide if faulty AI models cause market meltdown."

Current adoption and risks of agentic AI in finance

According to a Cambridge Centre for Alternative Finance survey, 52% of finance firms are already using agentic AI. In commerce, agents are typically used to recommend products and in trading, firms mostly use autonomous AI for lower-risk operational tasks, though that could change quickly, Breeden said. 

Potential for amplified volatility

"If AI agents respond similarly to the same prompts or triggers, they could amplify volatility in stress – especially if their objectives drift from original goals or public policy objectives."

Global regulatory response and warnings

Concerns from regulators and standard-setting bodies

Regulators and global standard-setting bodies have repeatedly warned about the risks posed by the rollout of AI across the financial sector since Anthropic released Mythos, a model that analysts say could introduce significant cybersecurity challenges to the banking industry. 

Financial Stability Board's call for safeguards

The Financial Stability Board earlier in June called for tighter safeguards to guard against the risks of AI agents, which, it said, posed a distinct challenge to human oversight.

(Reporting by Phoebe Seers; Editing by Barbara Lewis and Tommy Reggiori Wilkes)

Key Takeaways

  • Sarah Breeden highlighted at the ECB Forum in Sintra on June 30, 2026, that current financial regulations don’t account for autonomous AI agents and that human oversight alone may be insufficient (ecb.europa.eu).
  • The Financial Stability Board on June 10, 2026 released a consultation with 12 “sound practices” addressing AI governance, lifecycle risk, cyber and third‑party risks, including specific guidance for agentic AI (fsb.org).
  • The FSB’s agentic AI recommendations emphasize setting boundaries, requiring human approval for high‑risk actions, treating AI agents as “synthetic employees,” and ensuring audit trails and identity attribution (techinformed.com).

References

Frequently Asked Questions

Why does the Bank of England believe AI may need new financial regulations?
The Bank of England notes that current frameworks were not designed for autonomous AI agents, raising concerns about oversight and the need for updated regulations.
What risks do agentic AI systems pose to the financial sector?
Agentic AI can act autonomously, potentially causing cybersecurity challenges and exposing gaps in current financial regulatory systems.
What did Sarah Breeden say about AI governance?
Sarah Breeden suggested that more sophisticated governance and accountability frameworks are necessary to manage the risks of autonomous AI in finance.
How are global regulators responding to AI risks in banking?
Regulators and global standard-setting bodies are calling for tighter safeguards and improved oversight as AI agents present distinct challenges to human supervision.

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