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The Case for a Public Share in AI

Jeremy Bearer-Friend and Sarah Polcz discuss their proposal to require leading AI firms to pay taxes in equity, reshaping how the gains from AI are distributed

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Artificial intelligence is rapidly reshaping the economy, but two Stanford Law alumni argue that existing tax frameworks are failing to capture—or fairly distribute—the value it generates. Jeremy Bearer-Friend, JD '14, a professor at George Washington University Law School, and Sarah Polcz, JSM '12, JSD '20, a professor at UC Davis School of Law, join co-host Professor Richard Thompson Ford to discuss a proposal that would require…

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