IDEAS home Printed from https://ideas.repec.org/p/hal/spmain/hal-04144817.html
   My bibliography  Save this paper

Ideas Without Scale in French Artificial Intelligence Innovations

Author

Listed:
  • Johanna Deperi

    (UniBs - Università degli Studi di Brescia = University of Brescia)

  • Ludovic Dibiaggio

    (SKEMA Business School)

  • Mohamed Keita

    (SKEMA Business School)

  • Lionel Nesta

    (GREDEG - Groupe de Recherche en Droit, Economie et Gestion - UNS - Université Nice Sophia Antipolis (1965 - 2019) - CNRS - Centre National de la Recherche Scientifique - UniCA - Université Côte d'Azur, OFCE - Observatoire français des conjonctures économiques (Sciences Po) - Sciences Po - Sciences Po)

Abstract

Artificial intelligence (AI) is viewed as the next technological revolution. The aim of this Policy Brief is to identify France's strengths and weaknesses in this great race for AI innovation. We characterise France's positioning relative to other key players and make the following observations: 1. Without being a world leader in innovation incorporating artificial intelligence, France is showing moderate but significant activity in this field. 2. France specialises in machine learning, unsupervised learning and probabilistic graphical models, and in developing solutions for the medical sciences, transport and security. 3. The AI value chain in France is poorly integrated, mainly due to a lack of integration in the downstream phases of the innovation chain. 4. The limited presence of French private players in the global AI arena contrasts with the extensive involvement of French public institutions. French public research organisations produce patents with great economic value. 5. Public players are the key actors in French networks for collaboration in patent development, but are not open to international and institutional diversity. In our opinion, France runs the risk of becoming a global AI laboratory located upstream in the AI innovation value chain. As such, it is likely to bear the sunk costs of AI invention, without enjoying the benefits of AI exploitation on a larger scale. In short, our fear is that French AI will be exported to other locations to prosper and grow.

Suggested Citation

  • Johanna Deperi & Ludovic Dibiaggio & Mohamed Keita & Lionel Nesta, 2023. "Ideas Without Scale in French Artificial Intelligence Innovations," SciencePo Working papers Main hal-04144817, HAL.
    • Handle: RePEc:hal:spmain:hal-04144817
    Note: View the original document on HAL open archive server: https://sciencespo.hal.science/hal-04144817
    as

    Download full text from publisher

    File URL: https://sciencespo.hal.science/hal-04144817/document
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Bresnahan, Timothy F. & Trajtenberg, M., 1995. "General purpose technologies 'Engines of growth'?," Journal of Econometrics, Elsevier, vol. 65(1), pages 83-108, January.
    2. Philippe Aghion & Céline Antonin & Simon Bunel, 2019. "Artificial Intelligence, Growth and Employment: The Role of Policy," Economie et Statistique / Economics and Statistics, Institut National de la Statistique et des Etudes Economiques (INSEE), issue 510-511-5, pages 149-164.
    3. 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.
    4. Hal Varian, 2018. "Artificial Intelligence, Economics, and Industrial Organization," NBER Chapters, in: The Economics of Artificial Intelligence: An Agenda, pages 399-419, National Bureau of Economic Research, Inc.
    5. 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.
    6. repec:hal:spmain:info:hdl:2441/7n49nkmngd8448a5ts5gt5ade0 is not listed on IDEAS
    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. Xin Du & Hengming Zhang & Yawen Han, 2022. "How Does New Infrastructure Investment Affect Economic Growth Quality? Empirical Evidence from China," Sustainability, MDPI, vol. 14(6), pages 1-30, March.
    2. Yulia Turovets & Konstantin Vishnevskiy & Artem Altynov, 2020. "How To Measure Ai: Trends, Challenges And Implications," HSE Working papers WP BRP 116/STI/2020, National Research University Higher School of Economics.
    3. 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.
    4. Montobbio, Fabio & Staccioli, Jacopo & Virgillito, Maria Enrica & Vivarelli, Marco, 2022. "Robots and the origin of their labour-saving impact," Technological Forecasting and Social Change, Elsevier, vol. 174(C).
    5. Ajay Agrawal & Joshua Gans & Avi Goldfarb, 2019. "Economic Policy for Artificial Intelligence," Innovation Policy and the Economy, University of Chicago Press, vol. 19(1), pages 139-159.
    6. Nicoletta Corrocher & Daniele Moschella & Jacopo Staccioli & Marco Vivarelli, 2024. "Innovation and the labor market: theory, evidence, and challenges," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 33(3), pages 519-540.
    7. Mihaela Tulvinschi, 2023. "The Quality Of Services Promoted By The Accountancy Profession In The Age Of Digitalisation And Organisational Performance," European Journal of Accounting, Finance & Business, "Stefan cel Mare" University of Suceava, Romania - Faculty of Economics and Public Administration, West University of Timisoara, Romania - Faculty of Economics and Business Administration, vol. 11(1), pages 72-78, February.
    8. Daron Acemoglu & Claire Lelarge & Pascual Restrepo, 2020. "Competing with Robots: Firm-Level Evidence from France," AEA Papers and Proceedings, American Economic Association, vol. 110, pages 383-388, May.
    9. Wang, Linhui & Chen, Qi & Dong, Zhiqing & Cheng, Lu, 2024. "The role of industrial intelligence in peaking carbon emissions in China," Technological Forecasting and Social Change, Elsevier, vol. 199(C).
    10. Caselli, Mauro & Fracasso, Andrea & Traverso, Silvio, 2021. "Robots and risk of COVID-19 workplace contagion: Evidence from Italy," Technological Forecasting and Social Change, Elsevier, vol. 173(C).
    11. 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.
    12. Yingying Lu & Yixiao Zhou, 2021. "A review on the economics of artificial intelligence," Journal of Economic Surveys, Wiley Blackwell, vol. 35(4), pages 1045-1072, September.
    13. Cui, Huijie & Liang, Shangkun & Xu, Canyu & Junli, Yu, 2024. "Robots and analyst forecast precision: Evidence from Chinese manufacturing," International Review of Financial Analysis, Elsevier, vol. 94(C).
    14. Montobbio, F. & Staccioli, J. & Virgillito, M.E. & Vivarelli, Marco, 2022. "The empirics of technology, employment and occupations," MERIT Working Papers 2022-037, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
    15. Carioli, Paolo & Czarnitzki, Dirk & Fernández, Gastón P., 2024. "Evidence on the adoption of Artificial Intelligence: The role of skills shortage," ZEW Discussion Papers 24-013, ZEW - Leibniz Centre for European Economic Research.
    16. Matej Belin, 2021. "Does Robots´Reach Exceed Their Grasp? Differential Impacts of Robot Adoption and Spillover Effects on Workers in the Czech Republic," CERGE-EI Working Papers wp688, The Center for Economic Research and Graduate Education - Economics Institute, Prague.
    17. Baccianti, Claudio & Labhard, Vincent & Lehtimäki, Jonne, 2022. "Digitalisation, Institutions and Governance, and Diffusion: Mechanisms and Evidence," Working Paper Series 2675, European Central Bank.
    18. Daron Acemoglu & David Autor & Christina Patterson, 2024. "Bottlenecks: Sectoral Imbalances and the US Productivity Slowdown," NBER Macroeconomics Annual, University of Chicago Press, vol. 38(1), pages 153-207.
    19. Genz, Sabrina & Schnabel, Claus, 2021. "Digging into the digital divide: Workers' exposure to digitalization and its consequences for individual employment," Discussion Papers 118, Friedrich-Alexander University Erlangen-Nuremberg, Chair of Labour and Regional Economics.
    20. Qianqian Guo & Zhifang Su, 2023. "The Application of Industrial Robot and the High-Quality Development of Manufacturing Industry: From a Sustainability Perspective," Sustainability, MDPI, vol. 15(16), pages 1-26, August.

    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:hal:spmain:hal-04144817. 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: Contact - Sciences Po Departement of Economics (email available below). General contact details of provider: https://hal.archives-ouvertes.fr/ .

    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.