I am a PhD candidate in the Economics department of the University of Southern California.

Research

AI Automation and Labor Market Outcomes

Existing measures of occupational AI exposure ignore worker reallocation, failing to capture true economic impact. In this study, I address this by developing a general equilibrium framework that explicitly models the occupational choice problem for workers. Using administrative German data, I recover the unobserved, heterogeneous comparative advantage vectors that drive these choices. I then simulate a productivity-enhancing AI shock derived from task-level automation scores. The results show that the ability to reallocate determines the distribution of welfare gains: generalists capture the largest relative wage gains by pivoting to high-growth sectors. Conversely, specialists, defined by concentrated comparative advantages, experience significantly smaller gains. This relative penalty affects both low skill workers, whose comparative advantage is confined to manual or service tasks, and high-skill workers who are specialized in certain domains, as the limited transferability of their skills restricts them from accessing the highest returns in the labor market.

Work in Progress

AI Adoption and the Supply of Expertise

With Serap Inci Ozyer Koca. Draft soon.

We study firms’ incentives to adopt automation when workers acquire expertise through employment and carry it across firms when they move. We characterize conditions under which experience-based task specialization supports asymmetric adoption at higher costs relative to pre-AI profits than in a homogeneous-worker benchmark. In this equilibrium, the nonadopter employs a more junior-intensive workforce and supplies experienced workers to the adopter.

Teaching

Teaching Assistant at the University of Southern California for

• Intermediate Microeconomics
• Intermediate Macroeconomics