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

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

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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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Show all 39 references

Research works printed but not linked: 5

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

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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
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
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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