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Regulating Robo Advisors in an Age of Generative Artificial Intelligence

March 13, 2025, 4 - 5 p.m. EST Daniel Schwarcz, University of Minnesota Law School Tom Baker, University of Pennsylvania Carey Law School Kyle Logue, University of Michigan Law School New generative Artificial Intelligence (AI) tools can increasingly engage in personalized, sustained and natural conversations with users. This technology has the capacity to reshape the financial services industry, making customized expert financial advice broadly available to consumers. However, AI’s ability to convincingly mimic human financial advisors also creates significant risks of large-scale financial misconduct. Which of these possibilities becomes reality will depend largely on the legal and regulatory rules governing “robo-advisors” that supply fully automated financial advice to consumers. This Article consequently critically examines this evolving regulatory landscape, arguing that current U.S. rules fail to adequately limit the risk that robo-advisors powered by generative AI will convince large numbers of consumers to purchase costly and inappropriate financial products and services. Drawing on general principles of consumer financial regulation and the EU’s recently enacted AI Act, the Article proposes addressing this deficiency through a dual regulatory approach: a licensing requirement for robo-advisors that use generative AI to help match consumers with financial products or services, and heightened ex post duties of care and loyalty for all robo-advisors. This framework seeks to appropriately balance the transformative potential of generative AI to deliver accessible financial advice with the risk that this emerging technology may significantly amplify the provision of conflicted or inaccurate advice. Recommended Reading: Daniel Schwarcz, Tom Baker & Kyle D. Logue, Regulating Robo-Advisors in an Age of Generative Artificial Intelligence, Wash. & Lee L.Rev. (forthcoming, 2025).