The DOI matches its Crossref record; 34 of the 36 references it cites were found in a registry or an index.
The Burden of Knowledge and the “Death of the Renaissance Man”: Is Innovation Getting Harder?
Abstract
This paper investigates a possibly fundamental aspect of technological progress. If knowledge accumulates as technology advances, then successive generations of innovators may face an increasing educational burden. Innovators can compensate through lengthening educational phases and narrowing expertise, but these responses come at the cost of reducing individual innovative capacities, with implications for the organization of innovative activity—a greater reliance on teamwork—and negative implications for growth. Building on this “burden of knowledge” mechanism, this paper first presents six facts about innovator behaviour. I show that age at first invention, specialization, and teamwork increase over time in a large micro-data set of inventors. Furthermore, in cross-section, specialization and teamwork appear greater in deeper areas of knowledge, while, surprisingly, age at first invention shows little variation across fields. A model then demonstrates how these facts can emerge in tandem. The theory further develops explicit implications for economic growth, providing an explanation for why productivity growth rates did not accelerate through the 20th century despite an enormous expansion in collective research effort. Upward trends in academic collaboration and lengthening doctorates, which have been noted in other research, can also be explained in this framework. The knowledge burden mechanism suggests that the nature of innovation is changing, with negative implications…
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“By dramatically reducing the cost of drafting, synthesizing, and revising complex text, LLMs may help scientists articulate ideas more clearly, navigate the growing burden of knowledge, and explore unfamiliar domains more efficiently (28, 29).”
From The rise of large language models and the direction and impact of US federal research funding (2026) · cites this paper as [28]
Citations
Cites
The Structure of Scientific Revolutions: 50th Anniversary Edition
Kuhn, T. S., & Hacking, I. (2012) · doi:10.7208/chicago/9780226458144.001.0001 · Cited by 21,170
Endogenous Technological Change
Romer, P. M. (1990) · Journal of Political Economy · doi:10.1086/261725 · Cited by 17,711
Endogenous Technological Change
Romer, P. (1989) · National Bureau of Economic Research · doi:10.3386/w3210 · Cited by 13,312
Economic Welfare and the Allocation of Resources for Invention
Arrow, K. J. (1962) · Princeton University Press eBooks · doi:10.1515/9781400879762-024 · Cited by 8,891
“A Model of Growth: Through Creative Destruction”
Aghion, P., & Howitt, P. (1992) · Econometrica · doi:10.2307/2951599 · Cited by 7,529
A Model of Growth Through Creative Destruction
Aghion, P., & Howitt, P. W. (1990) · National Bureau of Economic Research · doi:10.3386/w3223 · Cited by 5,670
The Increasing Dominance of Teams in Production of Knowledge
Wuchty, S., Jones, B. F., & Uzzi, B. (2007) · Science · doi:10.1126/science.1136099 · Cited by 3,615
Self-citationThe NBER Patent Citation Data File: Lessons, Insights and Methodological Tools
Hall, B. H., Jaffe, A. B., & Trajtenberg, M. (2001) · National Bureau of Economic Research · doi:10.3386/w8498 · Cited by 3,450
R & D-Based Models of Economic Growth
Jones, C. I. (1995) · Journal of Political Economy · doi:10.1086/262002 · Cited by 3,059
The Production of Human Capital and the Life Cycle of Earnings
Ben-Porath, Y. (1967) · Journal of Political Economy · doi:10.1086/259291 · Cited by 2,646
Debt, Deficits, and Finite Horizons
Blanchard, O. J. (1985) · Journal of Political Economy · doi:10.1086/261297 · Cited by 2,392
The Production and Distribution of Knowledge in the United States
Fishlar, A., & Machlup, F. (1964) · Southern Economic Journal · doi:10.2307/1055322 · Cited by 1,598
A Theory of Debt Based on the Inalienability of Human Capital
Hart, O., & Moore, J. (1994) · The Quarterly Journal of Economics · doi:10.2307/2118350 · Cited by 1,518
Time Series Tests of Endogenous Growth Models
Jones, C. I. (1995) · The Quarterly Journal of Economics · doi:10.2307/2118448 · Cited by 1,451
Scale, Scope, and Spillovers: The Determinants of Research Productivity in Drug Discovery
Henderson, R. M., & Cockburn, I. (1996) · The RAND Journal of Economics · doi:10.2307/2555791 · Cited by 1,366
Standing on the Shoulders of Giants: Cumulative Research and the Patent Law
Scotchmer, S. (1991) · The Journal of Economic Perspectives · doi:10.1257/jep.5.1.29 · Cited by 1,307
R&D, Patents, and Productivity
Feller, I., & Griliches, Z. (1987) · Technology and Culture · doi:10.2307/3105518 · Cited by 1,230
A Theory of Debt Based on the Inalienability of Human Capital
Hart, O., & Moore, J. H. (1991) · National Bureau of Economic Research · doi:10.3386/w3906 · Cited by 1,096
Weitzman, M. L. (1998) · The Quarterly Journal of Economics · doi:10.1162/003355398555595 · Cited by 1,088
Research, Patenting, and Technological Change
Kortum, S. S. (1997) · Econometrica · doi:10.2307/2171741 · Cited by 907
Endogenous growth without scale effects
Segerstrom, P. S. (1998) · Cited by 777
Young, A. (1998) · Journal of Political Economy · doi:10.1086/250002 · Cited by 549
Young, A. (1995) · National Bureau of Economic Research · doi:10.3386/w5211 · Cited by 534
Jones, B. F. (2010) · The Review of Economics and Statistics · doi:10.1162/rest.2009.11724 · Cited by 420
Self-citationAn Economic Theory of Technological ChangePreprint
Nordhaus, W. D. (1969) · RePEc: Research Papers in Economics · Cited by 261
Age, aging, and age structure in science
Zuckerman, H., & Merton, R. K. (1968) · Cited by 250
The Production and Distribution of Knowledge in the United States.
Sarell, M., & Machlup, F. (1963) · American Sociological Review · doi:10.2307/2089942 · Cited by 244
The Increasing Dominance of Teams in the Production of KnowledgePreprint
Wuchty, S., Jones, B. F., & Uzzi, B. (2007) · SSRN Electronic Journal · Cited by 115
Self-citationThe Knowledge Trap: Human Capital and Development Reconsidered
Jones, B. F. (2008) · National Bureau of Economic Research · doi:10.3386/w14138 · Cited by 74
Self-citationJones, B. F. (2005) · National Bureau of Economic Research · doi:10.3386/w11359 · Cited by 68
Self-citationThe Burden of Knowledge and the 'Death of the Renaissance Man': Is Innovation Getting Harder?
Jones, B. (2005) · National Bureau of Economic Research · doi:10.3386/w11360 · Cited by 49
Self-citationThe microprocessor: a biography
Malone, M. S. (1995) · Cited by 37
Malone, M. S. (1995) · Springer eBooks · doi:10.1007/978-1-4613-8433-5 · Cited by 29
Public records—access, privacy, and public policy: A discussion paper
Gellman, R. (1995) · Government Information Quarterly · doi:10.1016/0740-624x(95)90077-2 · Cited by 10
Research works printed but not linked: 7
- BARRO, 1995, Economic Growth
- EVENSON, 1991, Technology and Productivity: The Challenge for Economic Policy, 233
- KORTUM, 1993, “Equilibrium R&D and the Decline in the Patent-R&D Ratio: U.S. Evidence”, American Economic Review Papers and Proceedings, 83, 450
- KUHN, 1962, The Structure of Scientific Revolutions
- NATIONAL RESEARCH COUNCIL, 1990, On Time to the Doctorate: A Study of the Lengthening Time to Completion for Doctorates in Science and Engineering
- TILGHMAN, 1998, Trends in the Early Careers of Life Sciences
- ZUCKERMAN, 1973, The Sociology of Science, 497
Cited by
Sorted by citations
Atypical Combinations and Scientific Impact
Uzzi, B., Mukherjee, S., Stringer, M. J., & Jones, B. F. (2013) · Science · doi:10.1126/science.1240474 · Cited by 1,579
Self-citationFortunato, S., Bergstrom, C. T., Börner, K., Evans, J. A., Helbing, D., Milojević, S., Petersen, A. M., Radicchi, F., Sinatra, R., Uzzi, B., et al. (2018) · Science · doi:10.1126/science.aao0185 · Cited by 1,497
Large teams develop and small teams disrupt science and technology
Wu, L., Wang, D., & Evans, J. A. (2019) · Nature · doi:10.1038/s41586-019-0941-9 · Cited by 1,121
Are Ideas Getting Harder to Find?
Bloom, N., Jones, C. I., Van Reenen, J., & Webb, M. (2020) · American Economic Review · doi:10.1257/aer.20180338 · Cited by 1,002
The productivity crisis in pharmaceutical R&D
Pammolli, F., Magazzini, L., & Riccaboni, M. (2011) · Nature Reviews Drug Discovery · doi:10.1038/nrd3405 · Cited by 918
Metadata
- Authors
- JONES, B. F.
- Affiliations
- Northwestern University (US)
- Corresponding author
- JONES, BENJAMIN F.
- ORCID
- JONES, BENJAMIN F.
- Venue
- Review of Economic Studies
- Publisher
- Oxford University Press (OUP)
- Published
- 2009-01
- Volume
- 76
- Issue
- 1
- Pages
- 283-317
- ISSN
- 0034-6527 (ISSN-L)
- 1467-937X
- OpenAlex
- W3124253902
- Cited by
- 1,058
- References
- 36
- Citations by year
- 2026: 107 · 2025: 103 · 2024: 113 · 2023: 86 · 2022: 72 · 2021: 76 · 2020: 60 · 2019: 63 · 2018: 54 · 2017: 62 · 2016: 26 · 2015: 45 · 2014: 48 · 2013: 48 · 2012: 37
- FWCI
- 42.38
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- The Review of Economic Studies (publishedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- HighWire Press Open Archive (submittedVersion)
- Topics
- Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › Economic Growth and Productivity
- Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › Economic and Technological Innovation
- Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › Firm Innovation and Growth
- Keywords
- technological progress, innovators, specialization, teamwork, educational burden, economic growth, productivity growth, research collaboration
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