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Skills, Tasks and Technologies: Implications for Employment and Earnings
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“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
In the citing paper
“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).”
From Beyond the Great Recession: Labor Market Polarization and Ongoing Fertility Decline in the United States (2019) · cites this paper as Acemoglu and Autor 2011
In the citing paper
“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 (2025) · cites this paper as Acemoglu & Autor (2011)
In the citing paper
“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
In the citing paper
“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).”
From Artificial intelligence and work: a critical review of recent research from the social sciences (2024) · cites this paper as Acemoglu and Autor 2011
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Metadata
- Authors
- Acemoglu, D., & Autor, D.
- Affiliations
- National Bureau of Economic Research (US)
- ORCID
- Autor, David
- 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
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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