Cited by 635Labor market dynamics and wage inequalityDigital Economy and Work TransformationEconomic Growth and Productivity

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The wrong kind of AI? Artificial intelligence and the future of labour demand

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Acemoglu, Daron, Restrepo, Pascual·2020·Cambridge Journal of Regions, Economy and Society

DOI 10.1093/cjres/rsz022

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Abstract

Artificial intelligence (AI) is set to influence every aspect of our lives, not least the way production is organised. AI, as a technology platform, can automate tasks previously performed by labour or create new tasks and activities in which humans can be productively employed. Recent technological change has been biased towards automation, with insufficient focus on creating new tasks where labour can be productively employed. The consequences of this choice have been stagnating labour demand, declining labour share in national income, rising inequality and lowering productivity growth. The current tendency is to develop AI in the direction of further automation, but this might mean missing out on the promise of the ‘right’ kind of AI, with better economic and social outcomes.

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Artificial intelligence: a modern approach
Kumar, D. A., Balasubramanian, S., Byeon, D. H., & Manerkar, P. G. V. (1995) · Choice Reviews Online · doi:10.5860/choice.33-1577 · Cited by 22,191
Technological paradigms and technological trajectories
Dosi, G. (1982) · Research Policy · doi:10.1016/0048-7333(82)90016-6 · Cited by 6,685
The Skill Content of Recent Technological Change: An Empirical Exploration
Autor, D. H., Levy, F., & Murnane, R. J. (2003) · The Quarterly Journal of Economics · doi:10.1162/003355303322552801 · Cited by 6,205
Robots and Jobs: Evidence from US Labor Markets
Acemoglu, D., & Restrepo, P. (2020) · Journal of Political Economy · doi:10.1086/705716 · Cited by 4,088
Self-citation
Why Are There Still So Many Jobs? The History and Future of Workplace Automation
Autor, D. H. (2015) · Journal of Economic Perspectives · doi:10.1257/jep.29.3.3 · Cited by 3,917
Skills, Tasks and Technologies: Implications for Employment and Earnings
Acemoglu, D., & Autor, D. (2011) · Handbook of Labor Economics · doi:10.1016/s0169-7218(11)02410-5 · Cited by 3,799
The Black Box Society: The Secret Algorithms That Control Money and Information
Pasquale, F. (2015) · doi:10.4159/harvard.9780674736061 · Cited by 3,796
The race between man and machine: implications of technology for growth, factor shares, and employment
Acemoglu, D., & Restrepo, P. (2018) · American Economic Review · doi:10.1257/aer.20160696 · Cited by 3,121
Self-citation
The Price of Inequality: How Today's Divided Society Endangers Our Future
Stiglitz, J. E. (2015) · doi:10.7916/d8-96ed-6058 · Cited by 2,959
Automation and New Tasks: How Technology Displaces and Reinstates Labor
Acemoglu, D., & Restrepo, P. (2019) · Journal of Economic Perspectives · doi:10.1257/jep.33.2.3 · Cited by 2,612
Self-citation

Show all 39 references

Research works printed but not linked: 5

Ayres, 1983, Robots: Applications and Social Implications
Dauth, 2019, German Robots—The Impact of Industrial Robots on Workers
Harari, 2018, 21 Lessons for the 21st Century
Honey, 1986, The Manual of Learning Styles
Lanier, 2018, Ten Arguments for Deleting Your Social Media Accounts Right Now

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Baigh, T. A., Yong, C. C., & Cheong, K. C. (2021) · International Journal of Social Economics · doi:10.1108/ijse-02-2021-0085 · Cited by 7

Authors: Acemoglu, D., & Restrepo, P.
Affiliations: MIT, Cambridge, MA, USA
Boston University (US)
Venue: Cambridge Journal of Regions, Economy and Society
Publisher: Oxford University Press (OUP)
Published: 2019-12-18
Volume: 13
Issue: 1
Pages: 25-35
ISSN: 1752-1378 (ISSN-L)
1752-1386
DOI: 10.1093/cjres/rsz022
OpenAlex: W4230775373
Cited by: 634
References: 39
Citations by year: 2026: 143 · 2025: 137 · 2024: 111 · 2023: 103 · 2022: 76 · 2021: 47 · 2020: 16
FWCI: 43.38
Type: journal article
Language: en
Open access: bronze
doi.org
Licence: academic.oup.com/journals/pages/open_access/funder_policies/chorus/standard_publication_model (vor)
Locations: Cambridge Journal of Regions Economy and Society (publishedVersion)
RePEc: Research Papers in Economics (submittedVersion)
DSpace@MIT (Massachusetts Institute of Technology) (submittedVersion, cc-by-nc-sa)
Funders: National Science Foundation
Alfred P. Sloan Foundation
Smith Richardson Foundation
Sid W. Richardson Foundation
Accenture
Topics: Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › Labor market dynamics and wage inequality
Social Sciences › Sociology and Political Science › Digital Economy and Work Transformation
Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › Economic Growth and Productivity
Keywords: artificial intelligence, labor demand, automation, technological change, labor share, income inequality, productivity growth, employment, task creation, future of work

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The wrong kind of AI? Artificial intelligence and the future of labour demand

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