Preparing for the (non-existent?) future of work
November 8, 2022 Anton Korinek

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Anton Korinek is a Professor in the Department of Economics and at the Darden School of Business at the University of Virginia as well as a David M. Rubenstein Fellow at the Brookings Institution. His current research and teaching analyze the implications of Artificial Intelligence for business, for the economy, and for the future of society.


Abstract: This paper considers the labor market and distributional implications of a scenario of ever-more-intelligent autonomous machines that substitute for human labor and drive down wages. We lay out three concerns arising from such a scenario and evaluate recent predictions and objections to these concerns. Then we analyze how a utilitarian social planner would allocate work and income if these concerns start to materialize. As the income produced by autonomous machines rises and the value of labor declines, a utilitarian planner finds it optimal to phase out work, beginning with workers who have low labor productivity and job satisfaction, since they have comparative advantage in enjoying leisure. This is in stark contrast to welfare systems that force individuals with low labor productivity to work. If there are significant wage declines, avoiding mass misery will require other ways of distributing income than labor markets, whether via sufficiently well-distributed capital ownership or via benefits. Recipients could still engage in work for its own sake if they enjoy work amenities such as structure, purpose and meaning. If work gives rise to positive externalities such as social connections or political stability, or if individuals undervalue the benefits of work because of internalities, then a social planner would incentivize work. However, in the long run, the planner might be able to achieve a higher level of social welfare by adopting alternative ways of providing these benefits.


Paper: https://www.nber.org/papers/w30172



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