U.S. Regulator Quotes

    Views on AI in AML, Transaction Monitoring, KYC & Sanctions, 2024 to 2026

    Sources: Official speeches, congressional testimony, proposed rulemakings, interagency statements

    AI and other new technologies can identify suspicious activity with a speed and precision that legacy 'rules-based' systems cannot match. These tools can elevate real risk signals and reduce false positives, allowing investigators to focus on what truly matters.

    Travis Hill

    Chairman

    Federal Deposit Insurance Corporation (FDIC)

    Remarks at the American Bankers Association Washington Summit, "An Update on Reforms to the Regulatory Toolkit"
    March 11, 2026

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    We will work with OCC-supervised banks to clarify new ways for banks to conduct the very old business of banking and embrace new technologies like AI, ensuring these opportunities are available to all banks.

    Jonathan Gould

    Acting Comptroller of the Currency

    Office of the Comptroller of the Currency (OCC)

    Senate Testimony
    February 26, 2026

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    If our regulatory environment is not receptive to the use of AI in these circumstances customers are the ones who suffer.

    Michelle W. Bowman

    Vice Chair for Supervision

    Board of Governors of the Federal Reserve System

    27th Annual Symposium on Building the Financial System of the 21st Century, "Artificial Intelligence in the Financial System"
    November 22, 2024

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    [Financial institutions may adopt] machine learning or artificial intelligence, that can allow for greater precision in assessing customer risk, improving efficiency of automated transaction monitoring systems by reducing false positives, or reducing overall costs and improving commercial viability with certain customer types and jurisdictions.

    Andrea Gacki

    Director

    Financial Crimes Enforcement Network (FinCEN)

    Notice of Proposed Rulemaking, "Anti-Money Laundering and Countering the Financing of Terrorism Programs", Federal Register 89 FR 55428
    June 28, 2024

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    Innovations in AI, including machine learning and large language models, such as generative AI, have significant potential to strengthen AML/CFT compliance by helping financial institutions analyze massive amounts of data and more effectively identify illicit finance patterns, risks, trends, and typologies. […] Financial institutions, federal financial regulators and policy makers should leverage these workstreams to inform possible uses of AI-driven AML/CFT compliance tools in a safe, secure, and trustworthy manner.

    U.S. Department of the Treasury

    2024 National Strategy for Combatting Terrorist and Other Illicit Financing
    May 2024

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