Federal Revenue When AI Replaces Labor
An Examination of Economic Scenarios with Highly Capable Artificial Intelligence
Published Nov 7, 2025
An Examination of Economic Scenarios with Highly Capable Artificial Intelligence
Published Nov 7, 2025
This working paper presents how labor-replacing artificial intelligence (AI) affects federal revenue depending on whether workers find new jobs and AI is priced monopolistically. Because 84 percent of revenue is from labor, automation could disrupt the tax base, particularly if the labor force shrinks. Additionally, AI priced at-cost could induce deflation making federal debt repayment challenging. This paper also describes policy responses.
Funding for this research was provided by the contributions of the RAND Social and Economic Policy Advisory Board; generous gifts by Frank M. Clark, Michael J. Critelli, William A. Downe, Jihee Kim Huh and Peter Yun Huh, and the Donald M. James Family Foundation; and income from the operation of RAND Health.
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