What Work Does Generative AI Do?
Essays SEP 8, 2026
By: Alexander Bick, Adam Blandin, David Deming, Tyler Schumacher
MAY 6, 2020
This working paper was updated from the April 2020 version to the May 2020 version on May 27.
Half of the jobs in the U.S. feature pay-for-performance. We study nonlinear income taxation in a model where such contracts arise in private labor markets that are constrained by moral hazard frictions. We derive novel formulas for the incidence of arbitrarily nonlinear reforms of any given tax code on both the mean of earnings and their sensitivity to performance. We show theoretically and quantitatively that, following an increase in tax progressivity, the higher performance-sensitivity caused by the crowding-out of insurance provided by firms is almost fully offset by a countervailing “performance-pay effect” driven by labor supply responses. As a result, earnings risk is hardly affected by policy. We then turn to the normative analysis of a government that levies taxes and transfers to redistribute income across workers with different levels of uninsurable productivity. We find that setting taxes without accounting for the endogeneity of private insurance is close to optimal. Thus, the common concern that standard models of taxation underestimate the cost of redistribution is, in the context of performance-based compensation, overblown.
Essays SEP 8, 2026
By: Alexander Bick, Adam Blandin, David Deming, Tyler Schumacher
Working Papers SEP 8, 2026
By: Alexander Bick, Adam Blandin, David Deming, Tyler Schumacher
Essays SEP 2, 2026
By: Megan Rivera
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