IDEAS home Printed from https://ideas.repec.org/p/ipt/iptwpa/jrc118953.html
   My bibliography  Save this paper

Estimating investments in General Purpose Technologies. The case of AI Investments in Europe

Author

Abstract

In spite of a large interest in General Purpose Technologies, it is unclear how much economies invest in their development and diffusion. For example, various sources provide various figures of investments in Artificial Intelligence (AI). This constantly blurs the understanding of the AI-driven revolution among policy makers and business leaders and constraints informed decision making. The current report presents an original and comprehensive methodology to estimate AI investments. It rests on three assumptions: First, it considers AI as a general-purpose technology (GPT). Second, it includes not only investments in the core AI technology, but in complementary assets and capabilities necessary for its adoption. Finally, the methodology recognises different roles that the public and private sectors play in the process of AI creation and implementation. Using this approach, AI investments in Europe are estimated.

Suggested Citation

  • Daniel Nepelski & Maciej Sobolewski, 2020. "Estimating investments in General Purpose Technologies. The case of AI Investments in Europe," JRC Research Reports JRC118953, Joint Research Centre.
  • Handle: RePEc:ipt:iptwpa:jrc118953
    as

    Download full text from publisher

    File URL: https://publications.jrc.ec.europa.eu/repository/handle/JRC118953
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Erik Brynjolfsson & Daniel Rock & Chad Syverson, 2021. "The Productivity J-Curve: How Intangibles Complement General Purpose Technologies," American Economic Journal: Macroeconomics, American Economic Association, vol. 13(1), pages 333-372, January.
    2. Carol Corrado & Charles Hulten & Daniel Sichel, 2005. "Measuring Capital and Technology: An Expanded Framework," NBER Chapters, in: Measuring Capital in the New Economy, pages 11-46, National Bureau of Economic Research, Inc.
    3. Daniel Nepelski, 2019. "How to Facilitate Digital Innovation in Europe," Intereconomics: Review of European Economic Policy, Springer;ZBW - Leibniz Information Centre for Economics;Centre for European Policy Studies (CEPS), vol. 54(1), pages 47-52, January.
    4. Auerswald, Philip E & Branscomb, Lewis M, 2003. "Valleys of Death and Darwinian Seas: Financing the Invention to Innovation Transition in the United States," The Journal of Technology Transfer, Springer, vol. 28(3-4), pages 227-239, August.
    5. Carol Corrado & Charles Hulten & Daniel Sichel, 2009. "Intangible Capital And U.S. Economic Growth," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 55(3), pages 661-685, September.
    6. Corrado, Carol & Haskel, Jonathan & Jona-Lasinio, Cecilia & Iommi, Massimiliano, 2016. "Intangible investment in the EU and US before and since the Great Recession and its contribution to productivity growth," EIB Working Papers 2016/08, European Investment Bank (EIB).
    7. Mariana Mazzucato, 2016. "From market fixing to market-creating: a new framework for innovation policy," Industry and Innovation, Taylor & Francis Journals, vol. 23(2), pages 140-156, February.
    8. Carol Corrado & John Haltiwanger & Daniel Sichel, 2005. "Measuring Capital in the New Economy," NBER Books, National Bureau of Economic Research, Inc, number corr05-1.
    9. Manuel Trajtenberg, 2018. "Artificial Intelligence as the Next GPT: A Political-Economy Perspective," NBER Chapters, in: The Economics of Artificial Intelligence: An Agenda, pages 175-186, National Bureau of Economic Research, Inc.
    10. Trajtenberg, Manuel, 2018. "AI as the next GPT: a Political-Economy Perspective," CEPR Discussion Papers 12721, C.E.P.R. Discussion Papers.
    11. Carol Corrado & John Haltiwanger & Daniel Sichel, 2005. "Introduction to "Measuring Capital in the New Economy"," NBER Chapters, in: Measuring Capital in the New Economy, pages 1-10, National Bureau of Economic Research, Inc.
    12. Liliya Oxtorp, 2014. "Dynamic managerial capability of technology-based international new ventures—a basis for their long-term competitive advantage," Journal of International Entrepreneurship, Springer, vol. 12(4), pages 389-420, December.
    13. 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.
    14. Mariana Mazzucato, 2015. "From Market Fixing to Market-Creating: A New Framework for Economic Policy," SPRU Working Paper Series 2015-25, SPRU - Science Policy Research Unit, University of Sussex Business School.
    15. Montserrat Lopez-Cobo & Giuditta De Prato & Georgios Alaveras & Riccardo Righi & Sofia Samoili & Jiri Hradec & Lukasz Ziemba & Katarzyna Pogorzelska & Melisande Cardona, 2019. "Academic offer and demand for advanced profiles in the EU. Artificial Intelligence, High Performance Computing and Cybersecurity," JRC Research Reports JRC113966, Joint Research Centre.
    16. Braganza, Ashley & Brooks, Laurence & Nepelski, Daniel & Ali, Maged & Moro, Russ, 2017. "Resource management in big data initiatives: Processes and dynamic capabilities," Journal of Business Research, Elsevier, vol. 70(C), pages 328-337.
    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. Carol Corrado & Jonathan Haskel & Cecilia Jona-Lasinio, 2017. "Knowledge Spillovers, ICT and Productivity Growth," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 79(4), pages 592-618, August.
    2. Cristiano Antonelli & Gianluca Orsatti & Guido Pialli, 2023. "The knowledge-intensive direction of technological change," Eurasian Business Review, Springer;Eurasia Business and Economics Society, vol. 13(1), pages 1-27, March.
    3. Carolina Hintzmann & Josep Lladós-Masllorens & Raul Ramos, 2021. "Intangible Assets and Labor Productivity Growth," Economies, MDPI, vol. 9(2), pages 1-21, May.
    4. HOSONO Kaoru & MIYAKAWA Daisuke & TAKIZAWA Miho & YAMANOUCHI Kenta, 2016. "Complementarity and Substitutability between Tangible and Intangible Capital: Evidence from Japanese firm-level data," Discussion papers 16024, Research Institute of Economy, Trade and Industry (RIETI).
    5. Qing Li & Long Hai Vo, 2021. "Intangible Capital and Innovation: An Empirical Analysis of Vietnamese Enterprises," Economics Discussion / Working Papers 21-02, The University of Western Australia, Department of Economics.
    6. De, Supriyo, 2014. "Intangible capital and growth in the ‘new economy’: Implications of a multi-sector endogenous growth model," Structural Change and Economic Dynamics, Elsevier, vol. 28(C), pages 25-42.
    7. Ellen R. McGrattan & Edward C. Prescott, 2010. "Unmeasured Investment and the Puzzling US Boom in the 1990s," American Economic Journal: Macroeconomics, American Economic Association, vol. 2(4), pages 88-123, October.
    8. Felix Roth, 2022. "Revisiting Intangible Capital and Labor Productivity Growth, 2000–2015: Accounting for the Crisis and Economic Recovery in the EU," Contributions to Economics, in: Intangible Capital and Growth, chapter 0, pages 17-42, Springer.
    9. Luca Marcolin & Mariagrazia Squicciarini, 2018. "Investing in Innovation and Skills: Thriving through Global Value Chains," Review of Economics and Institutions, Università di Perugia, vol. 9(1).
    10. Giglio, Stefano & Severo, Tiago, 2012. "Intangible capital, relative asset shortages and bubbles," Journal of Monetary Economics, Elsevier, vol. 59(3), pages 303-317.
    11. Roth, Felix & Sen, Ali & Rammer, Christian, 2021. "Intangible Capital and Firm-Level Productivity – Evidence from Germany," Hamburg Discussion Papers in International Economics 9, University of Hamburg, Department of Economics.
    12. Ellen R. McGrattan & Edward C. Prescott, 2012. "The Labor Productivity Puzzle," Book Chapters, in: Lee E. Ohanian & John B. Taylor & Ian J. Wright (ed.), Government Policies and the Delayed Economic Recovery, chapter 6, Hoover Institution, Stanford University.
    13. Sandro Montresor & Antonio Vezzani, 2016. "Intangible investments and innovation propensity: Evidence from the Innobarometer 2013," Industry and Innovation, Taylor & Francis Journals, vol. 23(4), pages 331-352, May.
    14. Bart J. Bronnenberg & Jean-Pierre Dubé & Chad Syverson, 2022. "Marketing Investment and Intangible Brand Capital," Journal of Economic Perspectives, American Economic Association, vol. 36(3), pages 53-74, Summer.
    15. Mitra, Shalini, 2018. "Intangible Capital and the Rise in Wage and Hours Volatility," MPRA Paper 89697, University Library of Munich, Germany.
    16. Tsutomu Miyagawa & Shoichi Hisa, 2013. "Measurement of Intangible Investment by Industry and Economic Growth in Japan," Public Policy Review, Policy Research Institute, Ministry of Finance Japan, vol. 9(2), pages 405-432, March.
    17. Ellen McGrattan, 2020. "Intangible Capital and Measured Productivity," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 37, pages 147-166, August.
    18. Ilias Kostarakos & Kieran McQuinn & Petros Varthalitis, 2024. "Is Ireland the most intangible intensive economy in Europe? A growth accounting perspective," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 70(2), pages 370-394, June.
    19. Chen, Wen & Niebel, Thomas & Saam, Marianne, 2016. "Are intangibles more productive in ICT-intensive industries? Evidence from EU countries," Telecommunications Policy, Elsevier, vol. 40(5), pages 471-484.
    20. Ellen R. McGrattan & Eduard C. Prescott, 2006. "Why Did U.S. Market Hours Boom in the 1990s?," 2006 Meeting Papers 192, Society for Economic Dynamics.

    More about this item

    Keywords

    General Purpose Technology; GPT; Artificial Intelligence; AI; digital technologies; investments; intangibles; Europe;
    All these keywords.

    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:ipt:iptwpa:jrc118953. 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: Publication Officer (email available below). General contact details of provider: https://edirc.repec.org/data/ipjrces.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.