Artificial intelligence (AI) is surpassing human performance in a growing number of domains. However, there is limited evidence of its economic effects. Using data from a digital platform, we study a key application of AI: machine translation. We find that the introduction of a machine...

This paper analyzes how corporate disclosure has been reshaped by machine processors, employed by algorithmic traders, robot investment advisors, and quantitative analysts. Our findings indicate that increasing machine and AI readership, proxied by machine downloads, motivates firms to prepare...

This paper studies the role and incidence of entry preemption strategic motives on the dynamics of new industries, while providing an empirical test for entry preemption, and quantifying its impact on market structure. The empirical context is the evolution of the U.S. drive-in theater market...

This paper identifies and quantifies major determinants of future electric vehicle (EV) demand in order to inform widely-held aspirations for market growth. Our model compares three channels that will affect EV market share in the United States from 2020-2035: intrinsic (no-subsidy) EV demand...

This paper documents differences across higher-education courses in the coverage of frontier knowledge. Comparing the text of 1.7M syllabi and 20M academic articles, we construct the "education-innovation gap," a syllabus's relative proximity to old and new knowledge. We show that courses differ...