FCA Plans to Automate Supervision With AI, Holds Off on Rules for Chatbots

Thursday, 15/10/2026 | 07:04 GMT by Damian Chmiel
  • Its data chief told MPs the regulator wants software agents to sift what firms send it and intervene at scale.
  • Chief Executive Nikhil Rathi said he is not yet convinced the watchdog needs much wider powers.
Website of The Financial Conduct Authority or FCA, a financial regulatory body in the United Kingdom

Britain's financial regulator plans to automate as much of its supervision and enforcement as it can with artificial intelligence, its data chief told lawmakers on Tuesday. The Financial Conduct Authority (FCA) is not preparing new AI rules for the industry, the Financial Times reported.

London's trading industry is coming home!

For regulated firms, that puts software on the reading end of what they send the watchdog. Jessica Rusu, the FCA 's chief data, information and intelligence officer, said AI works well on the emails, documents and interview records firms provide.

Outside the perimeter, research commissioned for the Mills Review found that a fifth of UK adults are open to letting AI models make financial decisions for them. Savings and borrowing were among the examples.

Rusu is due to set out the FCA's formal answer to that review in a speech next week. Former FCA executive Sheldon Mills delivered it in July with seven priority recommendations and an AI-enabled supervisory model.

Agents Already Touch Client Accounts

Retail brokers are not waiting. At least ten brokers and platform vendors connected AI agents to live client accounts in the first half of 2026, and Anthropic's Claude powered nine of them, an FM Intelligence study found.

eToro began letting investors hand trades to their own AI agents in March. The agents run in sub-accounts with a set budget and scoped access.

In June, ThinkMarkets launched ChelseaAI, an MCP server that lets a trader's AI assistant place orders but can block it from client funds. In each case the authorized firm is the broker holding the account, not the developer of the model.

Rathi Still Weighing the Perimeter

The Mills Review said the regulator would need greater powers to keep up with AI. It also urged UK authorities to consider whether ChatGPT, Claude, Gemini and other large language models should fall under their rules, according to the FT.

Nikhil Rathi, Chief Executive of the FCA, Source: Bank of England
Nikhil Rathi, Chief Executive of the FCA, Source: Bank of England

Chief Executive Nikhil Rathi told the House of Commons Treasury Committee on Tuesday that his thinking on AI had been evolving. He is still not convinced the FCA needs "lots more powers" until it has shown it has used its existing powers to the fullest extent.

A model that gives information without an individual recommendation that results in a transaction does not fall fully inside the regulated perimeter, he said. That applies to advice, insurance and other markets.

"I think that is going to be a very live discussion," Rathi said. The open point is where to draw the line.

Automation Inside the Regulator

Building "an AI-enabled agentic supervisory model" was one of the Mills recommendations. Rusu said the FCA is deploying AI in ways that keep its officials overseeing and directing the work, and that it is looking at embedding it in authorizations, supervision and enforcement.

The regulator wants to go "further than that, to automate wherever we can . . . and to intervene at scale," she said.

FCA staff have visited firms to see how they use AI and will publish their findings on good and poor practice next week, Rusu said. The AI Live Testing service opened in December 2025 with NatWest, Monzo, Santander and Scottish Widows in the first cohort.

The testing follows a sandbox that gave banks NVIDIA computing power to trial AI models in June 2025.

Five months later the FCA agreed to test AI tools jointly with the Monetary Authority of Singapore (MAS).

The FCA's first technology horizon scan in June named AI as one of three shifts likely to reshape financial services by 2030.

Britain's financial regulator plans to automate as much of its supervision and enforcement as it can with artificial intelligence, its data chief told lawmakers on Tuesday. The Financial Conduct Authority (FCA) is not preparing new AI rules for the industry, the Financial Times reported.

London's trading industry is coming home!

For regulated firms, that puts software on the reading end of what they send the watchdog. Jessica Rusu, the FCA 's chief data, information and intelligence officer, said AI works well on the emails, documents and interview records firms provide.

Outside the perimeter, research commissioned for the Mills Review found that a fifth of UK adults are open to letting AI models make financial decisions for them. Savings and borrowing were among the examples.

Rusu is due to set out the FCA's formal answer to that review in a speech next week. Former FCA executive Sheldon Mills delivered it in July with seven priority recommendations and an AI-enabled supervisory model.

Agents Already Touch Client Accounts

Retail brokers are not waiting. At least ten brokers and platform vendors connected AI agents to live client accounts in the first half of 2026, and Anthropic's Claude powered nine of them, an FM Intelligence study found.

eToro began letting investors hand trades to their own AI agents in March. The agents run in sub-accounts with a set budget and scoped access.

In June, ThinkMarkets launched ChelseaAI, an MCP server that lets a trader's AI assistant place orders but can block it from client funds. In each case the authorized firm is the broker holding the account, not the developer of the model.

Rathi Still Weighing the Perimeter

The Mills Review said the regulator would need greater powers to keep up with AI. It also urged UK authorities to consider whether ChatGPT, Claude, Gemini and other large language models should fall under their rules, according to the FT.

Nikhil Rathi, Chief Executive of the FCA, Source: Bank of England
Nikhil Rathi, Chief Executive of the FCA, Source: Bank of England

Chief Executive Nikhil Rathi told the House of Commons Treasury Committee on Tuesday that his thinking on AI had been evolving. He is still not convinced the FCA needs "lots more powers" until it has shown it has used its existing powers to the fullest extent.

A model that gives information without an individual recommendation that results in a transaction does not fall fully inside the regulated perimeter, he said. That applies to advice, insurance and other markets.

"I think that is going to be a very live discussion," Rathi said. The open point is where to draw the line.

Automation Inside the Regulator

Building "an AI-enabled agentic supervisory model" was one of the Mills recommendations. Rusu said the FCA is deploying AI in ways that keep its officials overseeing and directing the work, and that it is looking at embedding it in authorizations, supervision and enforcement.

The regulator wants to go "further than that, to automate wherever we can . . . and to intervene at scale," she said.

FCA staff have visited firms to see how they use AI and will publish their findings on good and poor practice next week, Rusu said. The AI Live Testing service opened in December 2025 with NatWest, Monzo, Santander and Scottish Widows in the first cohort.

The testing follows a sandbox that gave banks NVIDIA computing power to trial AI models in June 2025.

Five months later the FCA agreed to test AI tools jointly with the Monetary Authority of Singapore (MAS).

The FCA's first technology horizon scan in June named AI as one of three shifts likely to reshape financial services by 2030.

About the Author: Damian Chmiel
Damian Chmiel
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About the Author: Damian Chmiel
Damian Chmiel is a Senior Analyst & Editor at Finance Magnates with more than 15 years of experience in the CFD and online trading industry. Active as both a trader and journalist since 2010, he focuses on broker coverage, fintech innovation, and regulatory developments across Europe, the Middle East, and Asia. His work includes interviews with C-level leaders at major brokerages and fintech platforms, as well as co-authoring Finance Magnates’ quarterly industry benchmarking reports. Damian’s reporting is data-driven, market-aware, and grounded in direct industry engagement. His analysis and commentary have also been cited by external media outlets, including Investing.com, Binance, The Asset, Stockhead, and Dispatch. Education: MA in Finance and Accounting, Cracow University of Economics
  • 4054 Articles
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