The Financial Conduct Authority published a landmark review on July 6 warning that artificial intelligence will fundamentally reshape retail financial services by 2030, with protecting consumers from poor financial decisions driven by persuasive AI responses emerging as one of the regulator's most pressing challenges. The Mills Review, led by FCA executive director Sheldon Mills and commissioned by the FCA Board, is the first review of its kind by a financial regulator and identifies four major AI-driven shifts: transforming firm operations, reshaping consumer journeys, altering competition and market power, and amplifying fraud and cyber risks.
"Artificial intelligence will transform financial services by 2030," Mills said. "It creates significant opportunities for consumers, firms and the wider economy. This report sets out a roadmap for how industry, regulators and government can prepare for the next phase of AI-driven change in our world-leading financial services sector."
Consumer trust lags behind adoption willingness
Research commissioned by the FCA found that around one in five UK adults - equivalent to 11 million people - would be willing to use AI capable of acting autonomously within pre-set financial goals. The survey, conducted by Yonder Consulting in April 2026 among more than 5,000 retail financial services consumers, also uncovered widespread concerns around trust, accountability and consumer control. The findings expose a growing tension between demand for personalised, automated financial guidance and confidence in the accuracy and oversight of those tools.
Those concerns carry particular weight in the pensions market, where mistakes can have lasting financial consequences. David Brooks, head of policy at independent financial services consultancy Broadstone, said AI should support rather than replace regulated advice. "Pensions are complex, long-term financial arrangements where mistakes can have lasting consequences," Brooks said. "While AI has a role to play in improving engagement and understanding, consumers need to treat it as a starting point, not a substitute for professional guidance, scheme information or regulated advice."
The gap between sounding right and being right
Brooks warned that the regulator's challenge extends beyond overseeing the technology to ensuring consumers understand where its limitations lie. "As AI becomes more widely used, improving public understanding of its limitations will be just as important as improving the technology itself. Trust should be earned through accuracy and accountability, not assumed because an answer sounds convincing."
He added that generative AI's fluency creates a distinct risk for retirement savers. "One of the FCA's biggest challenges may be protecting consumers from bad pension decisions driven by good-looking AI answers. Generative AI is excellent at sounding authoritative, but not always at being right. When retirement savings are involved, people need to understand that convenience is not the same thing as reliability."
Regulatory roadmap takes shape
The Mills Review sets out seven recommendations for the FCA Board, including adapting the regulatory perimeter, strengthening system-wide coordination, expanding the FCA's AI Lab and developing a trusted public-interest AI-enabled financial capability service. It also recommends building an AI-enabled supervisory model, signalling that the regulator intends to use artificial intelligence to transform its own supervisory operations as well as oversee firms deploying the technology.
FCA chair Ashley Alder said the report anticipates "the fundamental change agentic AI will bring to financial services", adding that the regulator's principles-based approach, including the Consumer Duty and the Senior Managers and Certification Regime, has helped it keep pace with rapid technological change. The FCA confirmed it will publish guidance on good and poor AI practices later this year, drawing on its engagement with regulated firms. For professionals working across AI for Finance, the review signals that regulatory expectations around AI oversight are about to become far more concrete.
Why this matters for insurance professionals
Insurance firms fall squarely within the FCA's regulatory perimeter, and the principles-based approach Alder referenced - particularly the Consumer Duty - applies directly to how insurers design, deploy and monitor AI tools. The FCA's upcoming guidance on good and poor AI practices will shape compliance expectations for claims processing algorithms, underwriting models and customer-facing chatbots. Insurers that treat AI-generated outputs as decision-ready without human oversight risk falling short of the regulator's emerging standards. The Mills Review makes clear that sounding convincing is not enough: firms must be able to demonstrate accuracy, accountability and consumer protection at every stage of the AI lifecycle. Those building expertise now in AI for Insurance will be better positioned to align internal practices with the FCA's direction before formal guidance lands.
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