Skills, Tasks and Technologies: Implications for Employment and Earnings
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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).”
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
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).”
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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- 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
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