Jobs at Risk: US Employment in the New Age of Automation
Recent advances in AI have fueled a new wave of concern regarding the exposure of workers to automation and potential displacement risk. In this session, we share findings from ongoing SHRM research which explores automation risk in the US workforce. By identifying the degree to which individual occupations are already automated, we estimate the share of current US employment that faces high to very high risk of automation displacement, both overall and by major occupational group and industry.
Learning Outcome 1: Attendees will gain knowledge about the current distribution of workers across occupations in the U.S. workforce.
Learning Outcome 2: Attendees will gain a broad sense of the set of current jobs that are especially susceptible to automation displacement, as well as the level of exposure faced by workers in specific occupational groups and industries.
Learning Outcome 3: Attendees will gain knowledge about the degree to which individual occupations are already automated, including significant variation of automation level within individual occupations.
Justin Ladner
Justin Ladner is a Senior Labor Economist at SHRM. His work centers on examining labor market trends and emerging issues facing employers and employees. He also has extensive experience researching occupational mobility, personnel training, recruiting, and retention. In all of these areas, he is passionate about leveraging data and analytics to inform real-world policy improvements.
Justin holds a master’s degree and Ph.D. in economics from the University of Michigan, as well as a master’s degree in economics and bachelor’s degree in economics and mathematics from Boston University.
