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Bank of England warns AI agents could trigger market meltdowns

Bank of England Deputy Governor Sarah Breeden warned on June 30 that autonomous AI agents could trigger market meltdowns by herding on similar trades, proposing kill switches and circuit breakers as safeguards. The central bank is conducting simulations to study herding behavior among AI trading agents and has launched investigations into agentic AI's impact on financial markets.

read2 min views1 publishedJul 1, 2026
Bank of England warns AI agents could trigger market meltdowns
Image: Cryptobriefing (auto-discovered)

Deputy governor Sarah Breeden suggests 'kill switches' and circuit breakers as autonomous trading systems proliferate across financial markets

The Bank of England just said the quiet part out loud: the humans might not be in charge of financial markets much longer, and that should worry everyone.

Deputy Governor Sarah Breeden warned on June 30 that “agentic” AI systems, the kind that can make decisions and execute trades without waiting for a human to hit approve, could soon operate across the entire financial system. Speaking at the European Central Bank Forum on Central Banking in Sintra, Portugal, Breeden laid out a scenario where relying on human oversight of these systems “might no longer be realistic.”

The herding problem #

Here’s the thing about AI trading agents: they tend to learn from similar data, train on similar models, and optimize for similar outcomes. Breeden’s core concern is what happens when thousands of these agents respond to the same market trigger at the same time.

Breeden specifically warned that if AI agents respond similarly to identical triggers, they could exacerbate market volatility significantly, particularly during stressed conditions. The Bank of England is actively conducting simulations with international bodies to study exactly this kind of herding behavior among AI trading agents.

Among the proposed safeguards, Breeden floated the idea of market-wide circuit breakers or “kill switches” that could shut down AI-driven trading in the event of model malfunctions or cascading failures.

Regulatory ripple effects #

The Bank of England confirmed in April 2026 that further investigations into agentic AI use cases were underway, specifically regarding their impact on financial markets. This preemptive posture suggests regulators are trying to get ahead of the curve for once, rather than reacting after a crisis.

For traditional markets, new rules around AI agent oversight could slow the adoption of fully autonomous trading systems, or at least force firms to build in human-in-the-loop checkpoints. High-frequency trading operations that plan to deploy agentic AI may face additional compliance burdens, potentially dampening the speed advantages these systems are designed to deliver.

For crypto, the regulatory trajectory is less clear but potentially more disruptive. If major jurisdictions begin requiring kill switches or mandatory circuit breakers for AI trading systems, centralized crypto exchanges could be forced to implement similar mechanisms. That creates a two-tier market: centralized venues with safety rails, and decentralized protocols without them.

Disclosure: This article was edited by Editorial Team. For more information on how we create and review content, see our

Editorial Policy.

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