FCA embraces AI to transform regulation

The FCA aims to enhance regulatory efficiency through AI while highlighting the need for accountability and consumer protection
The Financial Conduct Authority (FCA) is undergoing a substantial transformation as it embraces artificial intelligence (AI) in its regulatory practices. Priya Dave, Of Counsel at Corker Binning and a former contentious regulation lawyer at the FCA, notes that the regulator is positioning itself as a data-led entity. “The FCA is positioning itself as a data-led regulator, using AI to supervise in a more efficient and targeted way, focusing resource where the risks are greatest," she says. This shift means FCA-regulated firms can expect more rapid and pointed inquiries, emphasizing the importance of precise regulatory reporting. Firms must better understand the implications of their AI usage, ensuring it aligns with compliance requirements without compromising senior management's accountability. “The AI did it” will not suffice as an explanation.
With the FCA set to oversee anti-money laundering (AML) supervision in the legal sector by 2028, Dave encourages law firms to reassess their AML frameworks and risk assessments. The need for governance and accountability cannot be overstated, as firms must maintain human oversight and clear responsibility. Imogen Makin, a counsel at WilmerHale, praised the FCA’s initiative to implement agentic AI across its divisions but also pointed out the need for clearer guidance. “The FCA’s plans to use agentic AI across its divisions are to be commended,” she states. However, the lack of detailed rules may create risks around compliance obligations, especially when consumers rely on AI for financial decisions.
The FCA aims for the UK to lead in the responsible adoption of AI within financial services. As AI evolves, there’s a pressing need for firms to put consumer outcomes at the forefront while ensuring that governance structures are robust. Reflecting on the FCA’s approach, the emphasis is on creating a smarter regulatory environment through the use of AI. This aligns with the findings from their recent AI survey, which revealed that 86% of firms are currently deploying AI technologies.
The implications of AI extend beyond traditional financial services. As consumers increasingly turn to general-purpose AI models for financial advice, the boundary between regulated and unregulated activities blurs. Although this offers wider access to financial tools, it raises questions about consumer protection and accountability. The FCA acknowledges this challenge, advocating for clearer disclaimers from AI providers to elucidate the limitations of AI-generated financial information.
The FCA is uniquely positioned to harness AI in supervising thousands of AML firms set to transition under its remit in 2028. By developing robust AI-driven tools, the organisation seeks to enhance its operational resilience and adaptability in a rapidly changing landscape. As outlined, the need for dynamic data collection and effective supervision is paramount, with an emphasis on stress-testing AI systems for potential failures.
In conclusion, the FCA's proactive strategy illustrates a commitment to overseeing the responsible deployment of AI while safeguarding consumer interests. By fostering innovation alongside regulation, the FCA hopes to differentiate the UK market and build a financial future that is both secure and inclusive. AI is not on the horizon; it is already here, and regulators are working to ensure that its integration into financial services prioritises transparency, accountability, and consumer protection.
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