We study the effect of Artificial Intelligence (AI) on employment across US commuting zones over the period 2000-2020. A simple model shows that AI can automate jobs or complement workers, and illustrates how to estimate its effect by exploiting variation in a novel measure of local exposure to...

We measure individual bias in labor market expectations in German survey data and find that workers on average significantly overestimate their individual probabilities to separate from their job when employed as well to find a job when unemployed. These biases vary significantly between...