Cited by 3,799Labor market dynamics and wage inequalityGlobal trade and economicsEconomic Growth and Productivity

Skills, Tasks and Technologies: Implications for Employment and Earnings

Acemoglu, Daron, Autor, David·2011·Handbook of Labor Economics

Integrity signals

Registry

Crossref · 10.1016/s0169-7218(11)02410-5

Cites

110 of 110 references verified0 citation errors · 0 not checkable

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Claims other papers make about this one

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  • Computerization has disproportionately affected routine jobs and increased the productivity of workers with complementary skills, contributing to wage inequality.

    “Consequently, computerization has had a disproportionate impact on jobs that involve routine tasks, such as data entry, bookkeeping, and assembly line work, and reducing demand for workers performing”

    From Generative AI at Work (2023) · cites this paper as Acemoglu and Autor, 2011

  • Since the 1980s, U.S. labor markets have lost middle-skill, middle-income manufacturing and construction jobs, largely because of assembly line automation and offshoring of routine production.

    “Since the 1980s, the U.S. labor market has experienced declines in middle-skill, middle-income jobs in manufacturing and construction as a result of improvements in assembly line automation and the displacement of routine production jobs offshore, among other explanations (Acemoglu and Autor 2011; Autor, Katz, and Kearney 2006; Kalleberg 2009).”
  • Each Acemoglu & Autor (2011) score is computed as a composite measure of select O*NET 'Importance' scales.

    “Each score is computed as a composite measure of select O*NET 'Importance' scales.”

    From GDPVAL: Evaluating AI Model Performance on Real-World Economically Valuable Tasks (2026) · cites this paper as Acemoglu & Autor (2011)

  • Prior research on computer-based automation posited that routine work was most susceptible to replacement by computers.

    “Prior research on computer-based automation posited that routine work was most susceptible to replacement by computers (Autor et al., 2006; Acemoglu and Autor, 2011).”

    From Large language models at work in China’s labor market (2025) · cites this paper as Acemoglu and Autor, 2011

  • Previous waves of automation propelled by advances in information and communication technology were biased in favor of workers with higher skills, replacing lower skill workers and assisting workers with pre-existing complex skill sets.

    “It is well established that previous waves of automation propelled by advances in information and communication technology were biased in favor of workers with higher skills, replacing lower skill workers and assisting workers with pre-existing complex skill sets (Acemoglu and Autor 2011, Göranzon and Josefson 2012, Buera et al. 2015, Mellacher and Scheuer 2020).”

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Authors
Acemoglu, D., & Autor, D.
Affiliations
National Bureau of Economic Research (US)
Venue
Handbook of Labor Economics
Publisher
Elsevier
Published
2011
Pages
1043-1171
ISSN
1573-4463 (ISSN-L)
OpenAlex
W3124124240
Cited by
3,799
References
114
Citations by year
2026: 371 · 2025: 432 · 2024: 462 · 2023: 401 · 2022: 391 · 2021: 368 · 2020: 289 · 2019: 228 · 2018: 242 · 2017: 168 · 2016: 132 · 2015: 94 · 2014: 86 · 2013: 46 · 2012: 53
FWCI
303.39
Type
book chapter
Language
en
Open access
closed
Locations
Handbook of labour economics (publishedVersion)
Topics
  • Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › Labor market dynamics and wage inequality
  • Social Sciences › Economics, Econometrics and Finance › General Economics, Econometrics and Finance › Global trade and economics
  • Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › Economic Growth and Productivity
Keywords
returns to skills, wage inequality, skill-biased technological change, job polarization, offshoring, task-based model, skill substitution, wage distribution

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