The COVID-19 pandemic has raised concerns about the future of work. The pandemic may become recurrent, necessitating repeated adoptions of social distancing measures (voluntary or mandatory), creating substantial uncertainty about worker productivity. But robots are not susceptible to the virus. Thus, pandemic-induced job uncertainty may boost the incentive for automation. However, elevated uncertainty also reduces aggregate demand and reduces the value of new investment in automation. We assess the importance of automation in driving business cycle dynamics following an increase in job uncertainty in a quantitative New Keynesian DSGE framework. We find that, all else being equal, job uncertainty does stimulate automation, and increased automation helps mitigate the negative impact of uncertainty on aggregate demand.
About the Authors
Sylvain Leduc is executive vice president and director of Economic Research at the Federal Reserve Bank of San Francisco. Learn more about Sylvain Leduc
Zheng Liu is a vice president and director of the Center for Pacific Basin Studies in the Economic Research Department of the Federal Reserve Bank of San Francisco. Learn more about Zheng Liu