Occupational, Industry, and Geographic Exposure to Artificial Intelligence: A Novel Dataset and Its Potential Uses

Forthcoming at the Strategic Management Journal

NYU Stern School of Business Forthcoming

70 Pages Posted: 9 Apr 2021

See all articles by Edward W. Felten

Edward W. Felten

Princeton University - Center for Information Technology Policy; Princeton University - Woodrow Wilson School of Public and International Affairs; Princeton University - Department of Computer Science

Manav Raj

New York University (NYU) - Leonard N. Stern School of Business

Robert Seamans

New York University (NYU) - Leonard N. Stern School of Business

Date Written: April 8, 2021

Abstract

We create and validate a new measure of an occupation’s exposure to AI that we call the AI Occupational Exposure (AIOE). We use the AIOE to construct a measure of AI exposure at the industry level, which we call the AI Industry Exposure (AIIE) and a measure of AI exposure at the county level, which we call the AI Geographic Exposure (AIGE). We also describe several ways in which the AIOE can be used to create firm level measures of AI exposure. We validate the measures and describe how they can be used in different applications by management, organization and strategy scholars.

Keywords: artificial intelligence, industry, innovation, occupation, technology

Suggested Citation

Felten, Edward W. and Raj, Manav and Seamans, Robert, Occupational, Industry, and Geographic Exposure to Artificial Intelligence: A Novel Dataset and Its Potential Uses (April 8, 2021). Forthcoming at the Strategic Management Journal, NYU Stern School of Business Forthcoming, Available at SSRN: https://ssrn.com/abstract=3822412

Edward W. Felten

Princeton University - Center for Information Technology Policy ( email )

Sherrerd Hall, Third Floor
Princeton, NJ 08544
United States

Princeton University - Woodrow Wilson School of Public and International Affairs ( email )

Princeton University
Princeton, NJ 08544-1021
United States

Princeton University - Department of Computer Science ( email )

35 Olden Street
Princeton, NJ 08540
United States

Manav Raj (Contact Author)

New York University (NYU) - Leonard N. Stern School of Business ( email )

44 West 4th Street
Suite 9-160
New York, NY NY 10012
United States

Robert Seamans

New York University (NYU) - Leonard N. Stern School of Business ( email )

44 West 4th Street
Suite 9-160
New York, NY NY 10012
United States

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