Reich's AI Policy Agenda

Reich's policy framework for the AI economy consists of five interdependent interventions. First, workers whose output became AI training data must be compensated—a recognition that the collectively generated knowledge on which AI systems depend is not free raw material but a public resource requiring fair compensation structures. Second, productivity gains from AI must be broadly distributed through universal basic income funded by taxation on AI revenues—the most direct mechanism for ensuring that the workers displaced by AI retain purchasing power. Third, antitrust enforcement must prevent the concentration of AI capability in a handful of platform companies whose monopolistic position would allow them to extract excessive rents. Fourth, governments must invest in open-source AI systems governed democratically rather than by corporate boards. Fifth, educational institutions must pivot from training symbolic producers to cultivating directorial capacity—judgment, taste, ethical reasoning. The agenda is politically contentious and practically challenging. It is also, in Reich's assessment, the minimum required to prevent the AI transition from producing extreme concentration of