Join us on November 21, 2024, when David Deming of the Harvard Kennedy School stops by the Lab for his talk, “The (Possible) Labor Market Impacts of AI.”
This is a hybrid event open to everyone. Click here to register to watch on Zoom.
Members of the Stanford community are invited to join us in person. Register to attend by filling out this form.
Generative Artificial Intelligence (AI) is a potentially important new technology, but its impact on the economy depends on the speed and intensity of adoption. This paper reports results from the first nationally representative U.S. survey of generative AI adoption at work and at home. In August 2024, 39 percent of the U.S. population age 18-64 used generative AI. More than 24 percent of workers used it at least once in the week prior to being surveyed, and nearly one in nine used it every workday. Historical data on usage and mass-market product launches suggest that U.S. adoption of generative AI has been faster than adoption of the personal computer and the internet. Generative AI is a general purpose technology, in the sense that it is used in a wide range of occupations and job tasks at work and at home.
The talk will cover both of the following papers:
1. The Rapid Adoption of Generative AI
2. Technological Disruption in the US Labor Market
David Deming is the Isabelle and Scott Black Professor of Political Economy at Harvard Kennedy School. He is also the Faculty Dean of Kirkland House at Harvard College and a Research Associate at NBER. From 2021 to 2024 he served as the Academic Dean of HKS.
His research focuses on higher education, economic inequality, skills, technology, and the future of the labor market. He is a Principal Investigator (along with Raj Chetty and John Friedman) at the CLIMB Initiative, an organization that seeks to study and improve the role of higher education in social mobility. He is also a faculty lead of the Project on Workforce, a cross-Harvard initiative that focuses on building better pathways to economic mobility through the school-to-work transition. He recently co-founded (with Ben Weidmann) the Skills Lab, which creates performance-based measures of “soft” skills such as teamwork and decision-making.
In 2022 he won the Sherwin Rosen Prize for outstanding contributions to Labor Economics. In 2018 he was awarded the David N. Kershaw Prizefor distinguished contributions to the field of public policy and management under the age of 40. He served as a Coeditor of the AEJ: Applied from 2018 to 2021. He writes occasional columns in The Atlantic and previously for the New York Times Economic View, as well as on his Substack newsletter Forked Lightning. You can find his research and other details on his personal website.
