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Digital Abundance and Scarce Genius: Implications for Wages, Interest Rates, and Growth

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  • Seth G. Benzell
  • Erik Brynjolfsson

Abstract

Digital versions of labor and capital can be reproduced much more cheaply than their traditional forms. This increases the supply and reduces the marginal cost of both labor and capital. What then, if anything, is becoming scarcer? We posit a third factor, ‘genius’, that cannot be duplicated by digital technologies. Our approach resolves several macroeconomic puzzles. Over the last several decades, both real median wages and the real interest rate have been stagnant or falling in the United States and the World. Furthermore, shares of income paid to labor and capital (properly measured) have also decreased. And despite dramatic advances in digital technologies, the growth rate of measured output has not increased. No competitive neoclassical two-factor model can reconcile these trends. We show that when increasingly digitized capital and labor are sufficiently complementary to inelastically supplied genius, innovation augmenting either of the first two factors can decrease wages and interest rates in the short and long run. Growth is increasingly constrained by the scarce input, not labor or capital. We discuss microfoundations for genius, with a focus on the increasing importance of superstar labor. We also consider consequences for government policy and scale sustainability.

Suggested Citation

  • Seth G. Benzell & Erik Brynjolfsson, 2019. "Digital Abundance and Scarce Genius: Implications for Wages, Interest Rates, and Growth," NBER Working Papers 25585, National Bureau of Economic Research, Inc.
  • Handle: RePEc:nbr:nberwo:25585
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    Cited by:

    1. Andrea L. Eisfeldt & Antonio Falato & Mindy Z. Xiaolan, 2023. "Human Capitalists," NBER Macroeconomics Annual, University of Chicago Press, vol. 37(1), pages 1-61.
    2. Jakub Growiec, 2020. "What Will Drive Long-Run Growth in the Digital Age?," KAE Working Papers 2020-054, Warsaw School of Economics, Collegium of Economic Analysis.
    3. Growiec, Jakub, 2022. "Automation, Partial And Full," Macroeconomic Dynamics, Cambridge University Press, vol. 26(7), pages 1731-1755, October.
    4. Yusuke Oh & Koji Takahashi, 2020. "R&D and Innovation: Evidence from Patent Data," Bank of Japan Working Paper Series 20-E-7, Bank of Japan.
    5. Pi, Jiancai & Fan, Yanwei, 2021. "The impact of robots on equilibrium unemployment of unionized workers," International Review of Economics & Finance, Elsevier, vol. 71(C), pages 663-675.
    6. Victor Manuel Bennett, 2020. "Changes in persistence of performance over time," Strategic Management Journal, Wiley Blackwell, vol. 41(10), pages 1745-1769, October.
    7. Edward P. Lazear, 2019. "Productivity and Wages: Common Factors and Idiosyncrasies Across Countries and Industries," NBER Working Papers 26428, National Bureau of Economic Research, Inc.
    8. Timothy DeStefano & Richard Kneller & Jonathan Timmis, 2020. "ICT and capital biased technical change," Discussion Papers 2020-03, University of Nottingham, GEP.

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    More about this item

    JEL classification:

    • D02 - Microeconomics - - General - - - Institutions: Design, Formation, Operations, and Impact
    • D8 - Microeconomics - - Information, Knowledge, and Uncertainty
    • O1 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development
    • O11 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Macroeconomic Analyses of Economic Development
    • O3 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights
    • O4 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity

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