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Occupational, industry, and geographic exposure to artificial intelligence: A novel dataset and its potential uses

Downloadable! Research Summary 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. Managerial Summary Although artificial intelligence (AI) promises to spur economic growth, there is widespread concern that it could displace workers, alter industry trajectories, and reshape organizations. Despite the interest in this area, we have limited ability to study the effects of AI on occupations, firms, industries, and geographies because of limited availability of data that measures exposure to AI. To address this limitation, 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 (AIIE) and county level (AIGE). We describe how our measures can be useful to scholars and policy‐makers interested in identifying the effect of AI on markets.

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Occupational, industry, and geographic exposure to artificial intelligence: A novel dataset and its potential uses

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Abstract
Research Summary 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. Managerial Summary Although artificial intelligence (AI) promises to spur economic growth, there is widespread concern that it could displace workers, alter industry trajectories, and reshape organizations. Despite the interest in this area, we have limited ability to study the effects of AI on occupations, firms, industries, and geographies because of limited availability of data that measures exposure to AI. To address this limitation, 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 (AIIE) and county level (AIGE). We describe how our measures can be useful to scholars and policy‐makers interested in identifying the effect of AI on markets.

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Edward Felten & Manav Raj & Robert Seamans, 2021.
"
Occupational, industry, and geographic exposure to artificial intelligence: A novel dataset and its potential uses
,"

Strategic Management Journal
, Wiley Blackwell, vol. 42(12), pages 2195-2217, December.

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David Autor & David Dorn & Lawrence F. Katz & Christina Patterson & John Van Reenen, 2017.
"
Concentrating on the Fall of the Labor Share
,"

American Economic Review
, American Economic Association, vol. 107(5), pages 180-185, May.

David Autor & David Dorn & Lawrence F. Katz & Christina Patterson & John Van Reenen, 2017.
"
Concentrating on the Fall of the Labor Share
,"

NBER Working Papers

23108, National Bureau of Economic Research, Inc.

David Autor & David Dorn & Lawrence F. Katz & Christina Patterson & John Van Reenen, 2017.
"
Concentrating on the fall of the labor share
,"

CEP Discussion Papers

dp1476, Centre for Economic Performance, LSE.

Autor, David & Dorn, David & Katz, Lawrence F. & Patterson, Christina & Van Reenen, John, 2017.
"
Concentrating on the fall of the labor share
,"

LSE Research Online Documents on Economics

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David H. Autor & David Dorn & Lawrence F. Katz & Christina Patterson & John Van Reenen, 2017.
"
Concentrating on the Fall of the Labor Share
,"

CESifo Working Paper Series

6336, CESifo.

Dorn, David & Autor, David & Katz, Lawrence & Patterson, Christina & Van Reenen, John, 2017.
"
Concentrating on the Fall of the Labor Share
,"

CEPR Discussion Papers

11810, Centre for Economic Policy Research.

Autor, David & Dorn, David & Katz, Lawrence & Patterson, Christina & Van Reenen, John, 2017.
"
Concentrating on the Fall of the Labor Share
,"

IZA Discussion Papers

10539, IZA Network @ LISER.

David Souder & Akbar Zaheer & Harry Sapienza & Rebecca Ranucci, 2017.
"
How family influence, socioemotional wealth, and competitive conditions shape new technology adoption
,"

Strategic Management Journal
, Wiley Blackwell, vol. 38(9), pages 1774-1790, September.

Alberto Galasso & Hong Luo, 2018.
"
Punishing Robots: Issues in the Economics of Tort Liability and Innovation in Artificial Intelligence
,"

NBER Chapters
, in:
The Economics of Artificial Intelligence: An Agenda
, pages 493-504,
National Bureau of Economic Research, Inc.

Martha L. Maznevski & Katherine M. Chudoba, 2000.
"
Bridging Space Over Time: Global Virtual Team Dynamics and Effectiveness
,"

Organization Science
, INFORMS, vol. 11(5), pages 473-492, October.

Maarten Goos & Alan Manning & Anna Salomons, 2009.
"
Job Polarization in Europe
,"

American Economic Review
, American Economic Association, vol. 99(2), pages 58-63, May.

Melanie Arntz & Terry Gregory & Ulrich Zierahn, 2016.
"
The Risk of Automation for Jobs in OECD Countries: A Comparative Analysis
,"

OECD Social, Employment and Migration Working Papers

189, OECD Publishing.

J. Myles Shaver & Fredrick Flyer, 2000.
"
Agglomeration economies, firm heterogeneity, and foreign direct investment in the United States
,"

Strategic Management Journal
, Wiley Blackwell, vol. 21(12), pages 1175-1193, December.

David H. Autor & Frank Levy & Richard J. Murnane, 2003.
"
The Skill Content of Recent Technological Change: An Empirical Exploration
,"

The Quarterly Journal of Economics
, President and Fellows of Harvard College, vol. 118(4), pages 1279-1333.

David H. Autor & Frank Levy & Richard J. Murnane, 2001.
"
The Skill Content of Recent Technological Change: An Empirical Exploration
,"

NBER Working Papers

8337, National Bureau of Economic Research, Inc.

Songul Tolan & Annarosa Pesole & Fernando Martinez-Plumed & Enrique Fernandez-Macias & José Hernandez-Orallo & Emilia Gomez, 2020.
"
Measuring the Occupational Impact of AI: Tasks, Cognitive Abilities and AI Benchmarks
,"

JRC Working Papers on Labour, Education and Technology

2020-02, Joint Research Centre.

David H. Autor & Michael J. Handel, 2013.
"
Putting Tasks to the Test: Human Capital, Job Tasks, and Wages
,"

Journal of Labor Economics
, University of Chicago Press, vol. 31(S1), pages 59-96.

David H. Autor & Michael J. Handel, 2009.
"
Putting Tasks to the Test: Human Capital, Job Tasks and Wages
,"

NBER Working Papers

15116, National Bureau of Economic Research, Inc.

Ajay Agrawal & Alberto Galasso & Alexander Oettl, 2017.
"
Roads and Innovation
,"

The Review of Economics and Statistics
, MIT Press, vol. 99(3), pages 417-434, July.

Agrawal, Ajay & Galasso, Alberto & Oettl, Alexander, 2014.
"
Roads and Innovation
,"

CEPR Discussion Papers

10113, Centre for Economic Policy Research.

Sonali K. Shah & Rajshree Agarwal & Raj Echambadi, 2019.
"
Jewels in the crown: Exploring the motivations and team building processes of employee entrepreneurs
,"

Strategic Management Journal
, Wiley Blackwell, vol. 40(9), pages 1417-1452, September.

Erik Brynjolfsson & Tom Mitchell & Daniel Rock, 2018.
"
What Can Machines Learn, and What Does It Mean for Occupations and the Economy?
,"

AEA Papers and Proceedings
, American Economic Association, vol. 108, pages 43-47, May.

Frey, Carl Benedikt & Osborne, Michael A., 2017.
"
The future of employment: How susceptible are jobs to computerisation?
,"

Technological Forecasting and Social Change
, Elsevier, vol. 114(C), pages 254-280.

Audretsch, David B & Feldman, Maryann P, 1996.
"
R&D Spillovers and the Geography of Innovation and Production
,"

American Economic Review
, American Economic Association, vol. 86(3), pages 630-640, June.

Van Reenen, John, 2018.
"
Increasing differences between firms: market power and the macro-economy
,"

LSE Research Online Documents on Economics

91698, London School of Economics and Political Science, LSE Library.

John Van Reenen, 2018.
"
Increasing differences between firms: market power and the macro-economy
,"

CEP Discussion Papers

dp1576, Centre for Economic Performance, LSE.

Daron Acemoglu & David Autor & Jonathon Hazell & Pascual Restrepo, 2020.
"
AI and Jobs: Evidence from Online Vacancies
,"

NBER Working Papers

28257, National Bureau of Economic Research, Inc.

Daron Acemoglu & David Autor & Jonathon Hazell & Pascual Restrepo, 2020.
"
AI and Jobs: Evidence from Online Vacancies
,"

Working Papers

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Bo Cowgill, 2019.
"
Bias and Productivity in Humans and Machines
,"

Upjohn Working Papers

19-309, W.E. Upjohn Institute for Employment Research.

Liebowitz, Stan J, 2006.
"
File Sharing: Creative Destruction or Just Plain Destruction?
,"

Journal of Law and Economics
, University of Chicago Press, vol. 49(1), pages 1-28, April.

Klepper, Steven, 1996.
"
Entry, Exit, Growth, and Innovation over the Product Life Cycle
,"

American Economic Review
, American Economic Association, vol. 86(3), pages 562-583, June.

Juan Alcácer & Wilbur Chung, 2014.
"
Location strategies for agglomeration economies
,"

Strategic Management Journal
, Wiley Blackwell, vol. 35(12), pages 1749-1761, December.

Cooke, Philip, 2001.
"
Regional Innovation Systems, Clusters, and the Knowledge Economy
,"

Industrial and Corporate Change
, Oxford University Press and the Associazione ICC, vol. 10(4), pages 945-974, December.

Edward W. Felten & Manav Raj & Robert Seamans, 2018.
"
A Method to Link Advances in Artificial Intelligence to Occupational Abilities
,"

AEA Papers and Proceedings
, American Economic Association, vol. 108, pages 54-57, May.

Richard A. Bettis & Michael A. Hitt, 1995.
"
The new competitive landscape
,"

Strategic Management Journal
, Wiley Blackwell, vol. 16(S1), pages 7-19.

Paul Almeida & Bruce Kogut, 1999.
"
Localization of Knowledge and the Mobility of Engineers in Regional Networks
,"

Management Science
, INFORMS, vol. 45(7), pages 905-917, July.

Rajshree Agarwal & Michael Gort, 2002.
"
Firm and Product Life Cycles and Firm Survival
,"

American Economic Review
, American Economic Association, vol. 92(2), pages 184-190, May.

Maskell, Peter & Malmberg, Anders, 1999.
"
Localised Learning and Industrial Competitiveness
,"

Cambridge Journal of Economics
, Cambridge Political Economy Society, vol. 23(2), pages 167-185, March.

Samina Karim & Charles Williams, 2012.
"
Structural knowledge: how executive experience with structural composition affects intrafirm mobility and unit reconfiguration
,"

Strategic Management Journal
, Wiley Blackwell, vol. 33(6), pages 681-709, June.

Klepper, Steven, 1997.
"
Industry Life Cycles
,"

Industrial and Corporate Change
, Oxford University Press and the Associazione ICC, vol. 6(1), pages 145-181.

Henrich R. Greve, 2009.
"
Bigger and safer: the diffusion of competitive advantage
,"

Strategic Management Journal
, Wiley Blackwell, vol. 30(1), pages 1-23, January.

Manav Raj & Robert Seamans, 2019.
"
Primer on artificial intelligence and robotics
,"

Journal of Organization Design
, Springer;Organizational Design Community, vol. 8(1), pages 1-14, December.

Sendil K. Ethiraj & Alfonso Gambardella & Constance E. Helfat, 2019.
"
Articles on datasets
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Strategic Management Journal
, Wiley Blackwell, vol. 40(5), pages 713-714, May.

Michael J. Tippins & Ravipreet S. Sohi, 2003.
"
IT competency and firm performance: is organizational learning a missing link?
,"

Strategic Management Journal
, Wiley Blackwell, vol. 24(8), pages 745-761, August.

Jeffrey L. Furman & Florenta Teodoridis, 2020.
"
Automation, Research Technology, and Researchers’ Trajectories: Evidence from Computer Science and Electrical Engineering
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Organization Science
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Prithwiraj Choudhury & Evan Starr & Rajshree Agarwal, 2020.
"
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,"

Strategic Management Journal
, Wiley Blackwell, vol. 41(8), pages 1381-1411, August.

Victor M. Bennett & Todd A. Hall, 2020.
"
Software availability and entry
,"

Strategic Management Journal
, Wiley Blackwell, vol. 41(5), pages 950-962, May.

Eaton, Ben & Elaluf-Calderwood, Silvia & Sorensen, Carsten & Yoo, Youngjin, 2015.
"
Distributed tuning of boundary resources: the case of Apple's iOS service system
,"

LSE Research Online Documents on Economics

63272, London School of Economics and Political Science, LSE Library.

Joseph Farrell & Carl Shapiro, 2008.
"
How Strong Are Weak Patents?
,"

American Economic Review
, American Economic Association, vol. 98(4), pages 1347-1369, September.

Farrell, Joseph & Shapiro, Carl, 2007.
"
How Strong Are Weak Patents?
,"

Competition Policy Center, Working Paper Series

qt8vg425vj, Competition Policy Center, Institute for Business and Economic Research, UC Berkeley.

Alexandre Georgieff & Anna Milanez, 2021.
"
What happened to jobs at high risk of automation?
,"

OECD Social, Employment and Migration Working Papers

255, OECD Publishing.

Gert Bijnens & Joep Konings, 2018.
"
Declining Business Dynamism
,"

Working Papers of Department of Economics, Leuven

614199, KU Leuven, Faculty of Economics and Business (FEB), Department of Economics, Leuven.

Konings, Jozef & Bijnens, Gert, 2018.
"
Declining Business Dynamism
,"

CEPR Discussion Papers

12615, Centre for Economic Policy Research.

Gert Bijnens & Joep Konings, 2018.
"
Declining Business Dynamism
,"

Working Papers of VIVES - Research Centre for Regional Economics

614199, KU Leuven, Faculty of Economics and Business (FEB), VIVES - Research Centre for Regional Economics.

Ron Boschma, 2005.
"
Proximity and Innovation: A Critical Assessment
,"

Regional Studies
, Taylor & Francis Journals, vol. 39(1), pages 61-74.

Ron Adner & Phanish Puranam & Feng Zhu, 2019.
"
What Is Different About Digital Strategy? From Quantitative to Qualitative Change
,"

Strategy Science
, INFORMS, vol. 4(4), pages 253-261, December.

David H. Autor & Frank Levy & Richard J. Murnane, 2003.
"
The skill content of recent technological change: an empirical exploration
,"

Proceedings
, Federal Reserve Bank of San Francisco, issue Nov.

Elisabeth Ruth Perlman, 2015.
"
Dense Enough To Be Brilliant: Patents, Urbanization, and Transportation in Nineteenth Century America
,"

CEH Discussion Papers

036, Centre for Economic History, Research School of Economics, Australian National University.

Nile W. Hatch & Jeffrey H. Dyer, 2004.
"
Human capital and learning as a source of sustainable competitive advantage
,"

Strategic Management Journal
, Wiley Blackwell, vol. 25(12), pages 1155-1178, December.

Steven Klepper & Kenneth L. Simons, 2000.
"
Dominance by birthright: entry of prior radio producers and competitive ramifications in the U.S. television receiver industry
,"

Strategic Management Journal
, Wiley Blackwell, vol. 21(10‐11), pages 997-1016, October.

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</reference>

<statements>
1. This framing sits alongside widespread concern that AI could displace workers, alter industry trajectories, and reshape organizations.
2. The stated motivation is that prior research had limited ability to study AI’s effects on occupations, firms, industries, and geographies because of scarce exposure data.
</statements>

Begin the assessment now. Output only the JSON list, without any conversational text or explanations.