Based on the methodology proposed by Frey and Osborne (2017), we use their estimates for the probability of automation of occupations together with household survey data on the occupational distribution of employment to provide a risk assessment for the threat that automation may pose to the...

We propose a model with asymmetric firms where new technologies displace workers. We show that both leading (low-cost) firms and laggard (high-cost) firms increase productivity when automating but that only laggard firms hire more automation-susceptible workers. The reason for this asymmetry is...