Cited by 6,205Labor market dynamics and wage inequalityDigital Economy and Work TransformationGlobal trade and economics

The Skill Content of Recent Technological Change: An Empirical Exploration

Autor, D. H., Levy, F., Murnane, R. J.·2003·The Quarterly Journal of Economics

Abstract

We apply an understanding of what computers do to study how computerization alters job skill demands. We argue that computer capital (1) substitutes for workers in performing cognitive and manual tasks that can be accomplished by following explicit rules; and (2) complements workers in performing nonroutine problem-solving and complex communications tasks. Provided that these tasks are imperfect substitutes, our model implies measurable changes in the composition of job tasks, which we explore using representative data on task input for 1960 to 1998. We find that within industries, occupations, and education groups, computerization is associated with reduced labor input of routine manual and routine cognitive tasks and increased labor input of nonroutine cognitive tasks. Translating task shifts into education demand, the model can explain 60 percent of the estimated relative demand shift favoring college labor during 1970 to 1998. Task changes within nominally identical occupations account for almost half of this impact.

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Crossref · 10.1162/003355303322552801

Cites

28 of 28 references verified0 citation errors · 0 not checkable

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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 Autor et al., 2003

  • SBTC theory holds that technological progress complements skilled workers by raising their relative productivity and replaces unskilled workers by automating their tasks.

    “The A canonical theory in this discourse is SBTC (Acemoglu 2002, Autor et al. 2003), which posits that technological progress complements skilled workers by boosting their relative productivity and substitutes unskilled workers by automating their tasks.”

    From Skill-Biased Technical Change, Again? Online Gig Platforms and Local Employment (2025) · cites this paper as Autor et al. 2003

  • Online gig platforms may improve operational efficiency by making middle-skilled workers obsolete when their tasks, such as scheduling and supervising, can be replaced by technology.

    “Online gig platforms might enhance operational efficiency by rendering incumbent middle-skilled workers obsolete when their tasks are replaceable by technology (Autor et al. 2003), such as scheduling and supervising services.”

    From Skill-Biased Technical Change, Again? Online Gig Platforms and Local Employment (2025) · cites this paper as Autor et al. 2003

  • Modern work on labor-saving technology builds on the task-based framework popularized by Autor et al. (2003), who argue that computers substituted workers in routine cognitive and manual roles but complemented non-routine and complex tasks, leading to structural changes to the composition of jobs in the US economy.

    “Modern work on labor-saving technology builds on the task-based framework popularized by Autor et al. (2003), who argue that computers substituted workers in routine cognitive and manual roles but complemented non-routine and complex tasks, leading to structural changes to the composition of jobs in the US economy.”

    From Labor Market Consequences of Generative AI: Early Evidence from Norway (2026) · cites this paper as Autor et al., 2003

  • The predominant impact on non-routine cognitive tasks deviates from the routinization hypothesis, which posited that ICT primarily automates routine, codifiable tasks performed by middle-wage workers.

    “This predominant impact on non-routine cognitive tasks deviates from the 'routinization hypothesis' (Autor et al., 2003), which posited that ICT primarily automates routine, codifiable tasks performed by middle-wage workers.”

    From Large language models at work in China’s labor market (2025) · cites this paper as Autor et al., 2003

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Authors
Autor, D. H., Levy, F., & Murnane, R. J.
Affiliations
  • National Bureau of Economic Research (US)
  • Massachusetts Institute of Technology (US)
Venue
The Quarterly Journal of Economics
Published
2003-11-01
Volume
118
Issue
4
Pages
1279-1333
ISSN
  • 0033-5533 (ISSN-L)
  • 1531-4650
OpenAlex
W2892380133
Cited by
6,205
References
31
Citations by year
2026: 806 · 2025: 619 · 2024: 562 · 2023: 544 · 2022: 482 · 2021: 472 · 2020: 426 · 2019: 388 · 2018: 350 · 2017: 236 · 2016: 249 · 2015: 184 · 2014: 166 · 2013: 135 · 2012: 111
FWCI
55.74
Type
journal article
Language
en
Open access
closed
Locations
  • The Quarterly Journal of Economics (publishedVersion)
  • RePEc: Research Papers in Economics (submittedVersion)
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 › General Economics, Econometrics and Finance › Global trade and economics
Keywords
computerization, technological change, task composition, task substitution, task complementarity, educational demand, skill-biased technological change

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