IDEAS home Printed from https://ideas.repec.org/a/ces/epofor/v27y2026i02p15-20.html

AI and Trade: Why Europe Cannot Afford to Lag on Adoption

Author

Listed:
  • Muhammed Yıldırım

Abstract

Key MessagesAI boosts productivity, but gains depend on how fast countries adopt it into their core activitiesMost EU economies are trailing behind AI adoption leaders, with the risk of compounding growth divergence over timeAI is a global trade shock: foreign productivity gains lower import prices but sharpen competition for EU producersForeign AI gains bring cheaper imports but erode competitiveness; Europe cannot free-ride its way to growthOpenness and domestic adoption are complements; Europe needs both to fully capture AI’s growth potential

Suggested Citation

  • Muhammed Yıldırım, 2026. "AI and Trade: Why Europe Cannot Afford to Lag on Adoption," EconPol Forum, CESifo, vol. 27(02), pages 15-20, April.
  • Handle: RePEc:ces:epofor:v:27:y:2026:i:02:p:15-20
    as

    Download full text from publisher

    File URL: https://www.ifo.de/DocDL/econpol-forum-2-2026-yildirim-AI-and-trade.pdf
    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. Francesco Filippucci & Peter Gal & Matthias Schief, 2024. "Miracle or Myth? Assessing the macroeconomic productivity gains from Artificial Intelligence," OECD Artificial Intelligence Papers 29, OECD Publishing.
    3. 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.
    4. Diego Comin & Martí Mestieri, 2018. "If Technology Has Arrived Everywhere, Why Has Income Diverged?," American Economic Journal: Macroeconomics, American Economic Association, vol. 10(3), pages 137-178, July.
    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. Iñaki Aldasoro & Leonardo Gambacorta & Rozalia Pal & Debora Revoltella & Christoph Weiss & Marcin Wolski, 2026. "AI adoption, productivity and employment: evidence from European firms," BIS Working Papers 1325, Bank for International Settlements.
    2. James Lennox & Janine Dixon, 2026. "Occupations, Tasks and Generative AI: A Computable General Equilibrium Analysis," Centre of Policy Studies/IMPACT Centre Working Papers g-367, Victoria University, Centre of Policy Studies/IMPACT Centre.
    3. Christos Makridis & Christos A. Makridis, 2026. "The Sum of All (Workplace) Fears: How Managers Mediate the Fear of AI Job Displacement," CESifo Working Paper Series 12678, CESifo.
    4. Francesco Venturini, 2025. "Generative AI and Income Growth: Early Evidence on Global Data," Gospodarka Narodowa. The Polish Journal of Economics, Warsaw School of Economics, issue 3, pages 31-46.
    5. Leonardo Gambacorta & Enisse Kharroubi & Aaron Mehrotra & Livia Pancotto, 2026. "Economic impact of AI in emerging market economies," BIS Bulletins 121, Bank for International Settlements.
    6. repec:bdi:opques:qef_1009_26 is not listed on IDEAS
    7. Flavio Calvino & Luca Fontanelli, 2026. "Decoding AI: an early look at how French firms use AI," Eurasian Business Review, Springer;Eurasia Business and Economics Society, vol. 16(1), pages 51-93, March.
    8. Nils Grashof & Alexander Kopka, 2023. "Widening or closing the gap? The relationship between artificial intelligence, firm-level productivity and regional clusters," Bremen Papers on Economics & Innovation 2304, University of Bremen, Faculty of Business Studies and Economics.
    9. Erik CANTON, 2026. "Employment protection, adjustment costs, and technology adoption," EU research and innovation paper series KI-01-26-053-EN-N, Directorate General for Research and Innovation (DG RTD) of the European Commission.
    10. Konstantinos Pouliakas & Giulia Santangelo & Paul Dupire, 2025. "Are artificial intelligence skills a reward or a gamble? Deconstructing the AI wage premium in Europe," Eurasian Business Review, Springer;Eurasia Business and Economics Society, vol. 15(4), pages 1091-1128, December.
    11. Andres, Raphaela & Niebel, Thomas & Sack, Robin, 2025. "Big data and firm-level productivity – A cross-country comparison," Information Economics and Policy, Elsevier, vol. 71(C).
    12. Fontanelli, Luca & Guerini, Mattia & Miniaci, Raffaele & Secchi, Angelo, 2025. "Predictive AI and productivity growth dynamics: Evidence from French firms," Journal of Economic Behavior & Organization, Elsevier, vol. 240(C).
    13. Nickel, Christiane & Kilponen, Juha & Moral-Benito, Enrique & Koester, Gerrit & Ciccarelli, Matteo & Enders, Almira & Holton, Sarah & Landau, Bettina & Venditti, Fabrizio & Bobeica, Elena & Brand, Cla, 2025. "A strategic view on the economic and inflation environment in the euro area," Occasional Paper Series 371, European Central Bank.
    14. Fabian Stephany & Ole Teutloff & Angelo Leone, 2026. "AI Skills Improve Job Prospects: Causal Evidence from a Hiring Experiment," Papers 2601.13286, arXiv.org, revised Mar 2026.
    15. Udayan Mukherjee & Harry Nicholls, 2024. "The impact of artificial intelligence – an economic analysis," Treasury Analytical Notes Series an24/06, New Zealand Treasury.
    16. Tatsuru Kikuchi, 2026. "The Innovation Tax: Generative AI Adoption, Productivity Paradox, and Systemic Risk in the U.S. Banking Sector," Papers 2602.02607, arXiv.org.
    17. Dan Andrews & Chiara Criscuolo & Peter N. Gal, 2019. "The best versus the rest: divergence across firms during the global productivity slowdown," CEP Discussion Papers dp1645, Centre for Economic Performance, LSE.
    18. Qianan Wang & Zen Chen, 2026. "Boom, Bubble, or Buildout? A Multi-Method Evaluation of Whether Artificial Intelligence Is in an Ongoing Financial Bubble," Papers 2606.01575, arXiv.org.
    19. Iacovone, Leonardo & Pereira-López, Mariana & Schiffbauer, Marc, 2023. "Competition makes IT better: Evidence on when firms use IT more effectively," Research Policy, Elsevier, vol. 52(8).
    20. Tony Fang & Carl Lin & Qing Liu, 2026. "AI and labor market outcomes: evidence from China," Journal of Productivity Analysis, Springer, vol. 65(3), pages 1-26, September.
    21. Gambacorta, Leonardo & Jappelli, Tullio & Oliviero, Tommaso, 2025. "Exploring Household Adoption and Usage of Generative AI: New Evidence from Italy," CEPR Discussion Papers 20762, Centre for Economic Policy Research.

    More about this item

    Keywords

    ;
    ;
    ;

    JEL classification:

    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes
    • O32 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Management of Technological Innovation and R&D
    • O40 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - General

    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:ces:epofor:v:27:y:2026:i:02:p:15-20. 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: Klaus Wohlrabe (email available below). General contact details of provider: https://edirc.repec.org/data/cesifde.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.