The DOI matches its Crossref record; 37 of the 39 references it cites were found in a registry or an index, and 1 are not checked yet.
The wrong kind of AI? Artificial intelligence and the future of labour demand
Open accessAbstract
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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“A study by Acemoglu, Autor, Hazell, and Restrepo (2020) concludes no significant effect yet in the last decade at the occupation or industry level in the US.”
From Artificial intelligence and work: a critical review of recent research from the social sciences (2024) · cites this paper as Acemoglu et al. 2020
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Cited by
Sorted by citations
Artificial Intelligence and Jobs: Evidence from Online Vacancies
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Metadata
- 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
- 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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