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    Home > Finance > UK regulator kicks off review on impact of AI on retail finance
    Finance
    UK regulator kicks off review on impact of AI on retail finance

    Published by Global Banking and Finance Review

    Posted on January 27, 2026

    2 min read

    Last updated: January 27, 2026

    UK regulator kicks off review on impact of AI on retail finance - Finance news and analysis from Global Banking & Finance Review
    Tags:innovationtechnologyfinancial servicesArtificial Intelligenceconsumer protection

    Quick Summary

    The UK's FCA is reviewing AI's impact on retail finance, focusing on market changes and consumer protection, with findings due in 2026.

    Table of Contents

    • Impact of AI on Retail Finance
    • Overview of the FCA Review
    • Industry Perspectives on AI Use
    • Recommendations from the Treasury Committee

    UK Financial Regulator Initiates Review of AI's Impact on Retail Finance

    Impact of AI on Retail Finance

    LONDON, Jan 27 (Reuters) - The UK's Financial Conduct Authority on Tuesday launched a review into the impact of advanced artificial intelligence on retail financial markets and consumers. 

    Overview of the FCA Review

    The review, led by FCA Executive Director Sheldon Mills, will look at how the evolution of AI could affect markets and firms, including changes to competition and market structure, as well as the impact on consumers. Findings will go to the FCA board in mid‑2026. The regulator reiterated that it does not intend to introduce AI‑specific rules.

    "As I begin this review, the technological landscape is evolving at a remarkable pace. It is entirely plausible that we will see widespread use of agentic AI systems, neuromorphic computing and quantum capability," Mills said. "These technology changes will take place in the context of the growth of digital finance, including blockchain and smart contracts, tokenisation and digital assets."

    Industry Perspectives on AI Use

    Tom Callaby, partner at law firm CMS, said that so far the use of AI in retail facing applications in the UK had been "limited" but firms were increasingly considering new use cases. "The FCA should not close itself off to updating or adjusting its approach, as it has been clear that a lack of tailored rules and guidance in key areas has held some firms back,” Callaby added.  

    Recommendations from the Treasury Committee

    The parliamentary Treasury Committee on January 20 published a report urging financial regulators including the FCA to move away from a "wait and see" approach to AI.

    The committee said the FCA should publish guidance by the end of the year on how consumer protection rules apply to AI and how much senior managers need to understand the systems they oversee.

    (Reporting by Prerna Bedi in Bengaluru and Phoebe Seers in London; Editing by Maju Samuel and Tommy Reggiori Wilkes)

    Key Takeaways

    • •FCA launches review on AI's impact on retail finance.
    • •Review led by FCA Executive Director Sheldon Mills.
    • •Focus on market structure and consumer impact.
    • •Treasury Committee urges proactive AI guidance.
    • •Findings expected by mid-2026.

    Frequently Asked Questions about UK regulator kicks off review on impact of AI on retail finance

    1What is artificial intelligence?

    Artificial intelligence (AI) refers to the simulation of human intelligence in machines programmed to think and learn like humans, enabling them to perform tasks such as problem-solving and decision-making.

    2What is consumer protection?

    Consumer protection involves laws and regulations designed to ensure the rights of consumers are upheld, preventing unfair practices and ensuring products and services are safe and meet quality standards.

    3What is retail finance?

    Retail finance refers to financial services provided to individual consumers rather than businesses, including products like personal loans, mortgages, and credit cards.

    4What is market structure?

    Market structure describes the organization of a market based on the number of firms, product differentiation, and the level of competition, influencing pricing and output decisions.

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