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The Effects of Artificial Intelligence and Robotics on Business and Employment: Evidence from a survey on Japanese firms

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  • MORIKAWA Masayuki

Abstract

This study presents new evidence on firms' attitudes toward artificial intelligence (AI) and robotics, as well as their attitude toward the impacts of these new technologies on future business and employment prospects. The data used in this paper are the results of our original survey of more than 3,000 Japanese firms. The major findings can be summarized as follows. First, firms operating in the service industry have a positive attitude on the effects of AI-related technologies, suggesting the importance of paying attention to "AI-using industries." Second, we observe complementarity between AI-related technologies and the skill level of employees. This finding suggests that in order to accelerate the development and diffusion of AI and to maintain employment opportunities, it will be necessary to upgrade human capital. Third, firms that engage in global markets tend to have a positive attitude toward the impacts of AI-related technologies, indicating that globalization of economic activities will facilitate the development and diffusion of these new technologies.

Suggested Citation

  • MORIKAWA Masayuki, 2016. "The Effects of Artificial Intelligence and Robotics on Business and Employment: Evidence from a survey on Japanese firms," Discussion papers 16066, Research Institute of Economy, Trade and Industry (RIETI).
  • Handle: RePEc:eti:dpaper:16066
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    File URL: https://www.rieti.go.jp/jp/publications/dp/16e066.pdf
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    References listed on IDEAS

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    1. Georg Graetz & Guy Michaels, 2018. "Robots at Work," The Review of Economics and Statistics, MIT Press, vol. 100(5), pages 753-768, December.
    2. John G. Fernald, 2015. "Productivity and Potential Output before, during, and after the Great Recession," NBER Macroeconomics Annual, University of Chicago Press, vol. 29(1), pages 1-51.
    3. Maarten Goos & Alan Manning & Anna Salomons, 2014. "Explaining Job Polarization: Routine-Biased Technological Change and Offshoring," American Economic Review, American Economic Association, vol. 104(8), pages 2509-2526, August.
    4. Masayuki Morikawa, 2015. "Postgraduate Education and Labor Market Outcomes: An Empirical Analysis Using Micro Data from Japan," Industrial Relations: A Journal of Economy and Society, Wiley Blackwell, vol. 54(3), pages 499-520, July.
    5. Alan B. Krueger, 1993. "How Computers Have Changed the Wage Structure: Evidence from Microdata, 1984–1989," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 108(1), pages 33-60.
    6. Kevin J. Stiroh, 2002. "Information Technology and the U.S. Productivity Revival: What Do the Industry Data Say?," American Economic Review, American Economic Association, vol. 92(5), pages 1559-1576, December.
    7. Georg Graetz & Guy Michaels, 2015. "Robots at work: the impact on productivity and jobs," CentrePiece - The magazine for economic performance 447, Centre for Economic Performance, LSE.
    8. Van Reenen, John, 2011. "Wage inequality, technology and trade: 21st century evidence," Labour Economics, Elsevier, vol. 18(6), pages 730-741.
    9. William D. Nordhaus, 2021. "Are We Approaching an Economic Singularity? Information Technology and the Future of Economic Growth," American Economic Journal: Macroeconomics, American Economic Association, vol. 13(1), pages 299-332, January.
    10. Timothy F. Bresnahan & Erik Brynjolfsson & Lorin M. Hitt, 2002. "Information Technology, Workplace Organization, and the Demand for Skilled Labor: Firm-Level Evidence," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 117(1), pages 339-376.
    11. Maarten Goos & Alan Manning, 2007. "Lousy and Lovely Jobs: The Rising Polarization of Work in Britain," The Review of Economics and Statistics, MIT Press, vol. 89(1), pages 118-133, February.
    12. Lechevalier, Sébastien & Nishimura, Junichi & Storz, Cornelia, 2014. "Diversity in patterns of industry evolution: How an intrapreneurial regime contributed to the emergence of the service robot industry," Research Policy, Elsevier, vol. 43(10), pages 1716-1729.
    13. Frey, Carl Benedikt & Osborne, Michael A., 2017. "The future of employment: How susceptible are jobs to computerisation?," Technological Forecasting and Social Change, Elsevier, vol. 114(C), pages 254-280.
    14. David H. Autor, 2015. "Why Are There Still So Many Jobs? The History and Future of Workplace Automation," Journal of Economic Perspectives, American Economic Association, vol. 29(3), pages 3-30, Summer.
    15. Joel Mokyr & Chris Vickers & Nicolas L. Ziebarth, 2015. "The History of Technological Anxiety and the Future of Economic Growth: Is This Time Different?," Journal of Economic Perspectives, American Economic Association, vol. 29(3), pages 31-50, Summer.
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    Cited by:

    1. Kang, David Yeonjun & Hur, Won-Moo & Shin, Yuhyung, 2023. "Smart technology and service employees’ job crafting: Relationship between STARA awareness, performance pressure, receiving and giving help, and job crafting," Journal of Retailing and Consumer Services, Elsevier, vol. 73(C).

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