Paul Gaggl
PhD, UC Davis
Associate Professor of Economics
Director, Master of Science in Economics
Research Areas
AI & Automation
Macroeconomics
Labor Economics
I am an economist who studies how technological change — particularly AI, automation, and Information and Communication Technologies (ICT) — shapes labor markets, economic growth, and structural change. My research combines theoretical modeling with empirical analysis to understand the evolution of work, from historical technological revolutions like electrification to contemporary AI transformations. I examine how these general purpose innovations affect task composition in jobs, labor demand, productivity, economic growth, and the distribution of economic outcomes across workers and regions.
Conference Organization
I-85 Macroeconomics Workshop
Co-Founder and Co-Organizer with Toni Braun (GRIPS), Aspen Gorry (Clemson), Roozbeh Hosseini (UGA), and Juan Rubio-Ramirez (Emory)
The I-85 Macroeconomics Workshop is an effort to build ties between macroeconomics researchers in the Southeast and to expose graduate students pursuing a PhD in economics to macroeconomic research. We meet once a semester for one day, rotating between host institutions roughly along Interstate 85.
If you are interested in being added to the distribution list or would like to host, please email i85macro@gmail.com
Visit Conference WebsiteFeatured Work
View AllStructural Change in Production Networks and Economic Growth
Paul Gaggl, Aspen Gorry, and Christian vom Lehn • 2025 • requested revision re-submitted to Review of Economic Studies
Does Electricity Drive Structural Transformation? Evidence from the United States
Paul Gaggl, Rowena Gray, Ioana Marinescu, and Miguel Morin • 2020 • Labour Economics
On the Welfare Implications of Automation
Paul Gaggl and Maya Eden • 2018 • Review of Economic Dynamics
A Short-Run View of What Computers Do: Evidence from a UK Tax Incentive
Paul Gaggl and Greg Wright • 2017 • American Economic Journal: Applied Economics