IDEAS home Printed from https://ideas.repec.org/p/eti/dpaper/24074.html
   My bibliography  Save this paper

Use of Artificial Intelligence and Productivity: Evidence from firm and worker surveys

Author

Listed:
  • Masayuki MORIKAWA

Abstract

With the rapid diffusion of artificial intelligence (AI), its effects on economic growth and the labor market have attracted the attention of researchers. However, the lack of statistical data on the use of AI has restricted empirical research. Based on original surveys, this study provides an overview of the use of AI and other automation technologies in Japan, the characteristics of firms and workers who use AI, and their views on the impact of AI. According to the results, first, the number of firms using AI is increasing rapidly and firms with a larger share of highly educated workers have a greater tendency to use AI. Robot-using firms are also increasing, but the relationship between their use and workers’ education is weakly negative, suggesting that the impact on the labor market is different for each technology. Second, AI-using firms have higher productivity, wages, and medium-term growth expectations. Third, AI-using firms expect that while it will increase productivity and wages, it may decrease their employment. Fourth, at the worker level, more-educated workers are more likely to use AI, suggesting that AI and education are complementary. Currently, AI may favor high-skill workers in the labor market. Fifth, workers who use AI evaluate their work productivity to have increased by approximately 20% on average, suggesting that AI could potentially have a fairly large productivity enhancing effect.

Suggested Citation

  • Masayuki MORIKAWA, 2024. "Use of Artificial Intelligence and Productivity: Evidence from firm and worker surveys," Discussion papers 24074, Research Institute of Economy, Trade and Industry (RIETI).
  • Handle: RePEc:eti:dpaper:24074
    as

    Download full text from publisher

    File URL: https://www.rieti.go.jp/jp/publications/dp/24e074.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Erik Brynjolfsson & Danielle Li & Lindsey Raymond, 2025. "Generative AI at Work," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 140(2), pages 889-942.
    2. Daron Acemoglu & Pascual Restrepo, 2019. "Automation and New Tasks: How Technology Displaces and Reinstates Labor," Journal of Economic Perspectives, American Economic Association, vol. 33(2), pages 3-30, Spring.
    3. Cette, Gilbert & Devillard, Aurélien & Spiezia, Vincenzo, 2021. "The contribution of robots to productivity growth in 30 OECD countries over 1975–2019," Economics Letters, Elsevier, vol. 200(C).
    4. Daron Acemoglu & Gary W. Anderson & David N. Beede & Catherine Buffington & Eric E. Childress & Emin Dinlersoz & Lucia S. Foster & Nathan Goldschlag & John C. Haltiwanger & Zachary Kroff & Pascual Res, 2024. "Automation and the Workforce: A Firm-Level View from the 2019 Annual Business Survey," NBER Chapters, in: Technology, Productivity, and Economic Growth, National Bureau of Economic Research, Inc.
    5. Venturini, Francesco, 2022. "Intelligent technologies and productivity spillovers: Evidence from the Fourth Industrial Revolution," Journal of Economic Behavior & Organization, Elsevier, vol. 194(C), pages 220-243.
    6. Daron Acemoglu & Pascual Restrepo, 2020. "Robots and Jobs: Evidence from US Labor Markets," Journal of Political Economy, University of Chicago Press, vol. 128(6), pages 2188-2244.
    7. Katja Mann & Lukas Püttmann, 2023. "Benign Effects of Automation: New Evidence from Patent Texts," The Review of Economics and Statistics, MIT Press, vol. 105(3), pages 562-579, May.
    8. Nikolas Zolas & Zachary Kroff & Erik Brynjolfsson & Kristina McElheran & David Beede & Catherine Buffington & Nathan Goldschlag & Lucia Foster & Emin Dinlersoz, 2020. "Advanced Technologies Adoption and Use by U.S. Firms: Evidence from the Annual Business Survey," Working Papers 20-40, Center for Economic Studies, U.S. Census Bureau.
    9. Ajay Agrawal & Joshua S. Gans & Avi Goldfarb, 2019. "Artificial Intelligence: The Ambiguous Labor Market Impact of Automating Prediction," Journal of Economic Perspectives, American Economic Association, vol. 33(2), pages 31-50, Spring.
    10. Daisuke Adachi & Daiji Kawaguchi & Yukiko U. Saito, 2024. "Robots and Employment: Evidence from Japan, 1978–2017," Journal of Labor Economics, University of Chicago Press, vol. 42(2), pages 591-634.
    11. Michael Webb & Nick Short & Nicholas Bloom & Josh Lerner, 2018. "Some Facts of High-Tech Patenting," NBER Working Papers 24793, National Bureau of Economic Research, Inc.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Caselli, Mauro & Fracasso, Andrea & Scicchitano, Sergio & Traverso, Silvio & Tundis, Enrico, 2025. "What workers and robots do: An activity-based analysis of the impact of robotization on changes in local employment," Research Policy, Elsevier, vol. 54(1).
    2. Raphael Auer & David Köpfer & Josef Sveda, 2024. "The rise of generative AI: modelling exposure, substitution and inequality effects on the US labour market," BIS Working Papers 1207, Bank for International Settlements.
    3. Rademakers Emilie & Zierahn-Weilage Ulrich, 2024. "New Technologies: End of Work or Structural Change?," The Economists' Voice, De Gruyter, vol. 21(2), pages 335-344.
    4. Schneider, Florian, 2024. "Do robots boost productivity? A quantitative meta-study," MPRA Paper 123392, University Library of Munich, Germany.
    5. Tao Chen & Shuwen Pi & Qing Sophie Wang, 2025. "Artificial Intelligence and Corporate Investment Efficiency: Evidence from Chinese Listed Companies," Working Papers in Economics 25/05, University of Canterbury, Department of Economics and Finance.
    6. Czarnitzki, Dirk & Fernández, Gastón P. & Rammer, Christian, 2023. "Artificial intelligence and firm-level productivity," Journal of Economic Behavior & Organization, Elsevier, vol. 211(C), pages 188-205.
    7. Venturini, Francesco, 2022. "Intelligent technologies and productivity spillovers: Evidence from the Fourth Industrial Revolution," Journal of Economic Behavior & Organization, Elsevier, vol. 194(C), pages 220-243.
    8. Janine Berg & Francis Green & Laura Nurski & David A Spencer, 2023. "Risks to job quality from digital technologies: Are industrial relations in Europe ready for the challenge?," European Journal of Industrial Relations, , vol. 29(4), pages 347-365, December.
    9. Li, Daiyue & Jin, Yanhong & Cheng, Mingwang, 2024. "Unleashing the power of industrial robotics on firm productivity: Evidence from China," Journal of Economic Behavior & Organization, Elsevier, vol. 224(C), pages 500-520.
    10. Mann, Katja & Pozzoli, Dario, 2024. "Robots and immigration," Journal of Economic Behavior & Organization, Elsevier, vol. 227(C).
    11. Deng, Liuchun & Müller, Steffen & Plümpe, Verena & Stegmaier, Jens, 2024. "Robots, occupations, and worker age: A production-unit analysis of employment," European Economic Review, Elsevier, vol. 170(C).
    12. Mauro Caselli & Edwin Fourrier-Nicolai & Andrea Fracasso & Sergio Scicchitano, 2024. "Digital Technologies and Firms’ Employment and Training," CESifo Working Paper Series 11056, CESifo.
    13. Bernardo S Buarque & Ronald B Davies & Ryan M Hynes & Dieter F Kogler, 2020. "OK Computer: the creation and integration of AI in Europe," Cambridge Journal of Regions, Economy and Society, Cambridge Political Economy Society, vol. 13(1), pages 175-192.
    14. Belloc, Filippo & Burdin, Gabriel & Cattani, Luca & Ellis, William & Landini, Fabio, 2022. "Coevolution of job automation risk and workplace governance," Research Policy, Elsevier, vol. 51(3).
    15. Damioli, G. & Van Roy, V. & Vertesy, D. & Vivarelli, M., 2021. "May AI revolution be labour-friendly? Some micro evidence from the supply side," GLO Discussion Paper Series 823, Global Labor Organization (GLO).
    16. Harry Moroz & Mariana Viollaz, 2024. "The Future of Work in Central America and the Dominican Republic," World Bank Publications - Reports 42043, The World Bank Group.
    17. Cirillo, Valeria & Mina, Andrea & Ricci, Andrea, 2024. "Digital technologies, labor market flows and training: Evidence from Italian employer-employee data," Technological Forecasting and Social Change, Elsevier, vol. 209(C).
    18. Lee, Yong Suk & Iizuka, Toshiaki & Eggleston, Karen, 2025. "Robots and labor in nursing homes," Labour Economics, Elsevier, vol. 92(C).
    19. Qiao, Xiaole & He, Yang & Du, Qiang, 2025. "How does the urban digital economy drive labor allocation in China?—A perspective of factor mobility between digital and non-digital enterprises," Economic Analysis and Policy, Elsevier, vol. 85(C), pages 1159-1175.
    20. Piotr Lewandowski & Wojciech Szymczak, 2024. "Automation, Trade Unions and Involuntary Atypical Employment," IBS Working Papers 02/2024, Instytut Badan Strukturalnych.

    More about this item

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eti:dpaper:24074. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: TANIMOTO, Toko (email available below). General contact details of provider: https://edirc.repec.org/data/rietijp.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.