IDEAS home Printed from https://ideas.repec.org/p/bdi/opques/qef_1005_26.html

The economic impact of artificial intelligence: evidence from Italian firms

Author

Listed:
  • Tiziano Ropele

    (Bank of Italy)

  • Alex Tagliabracci

    (Bank of Italy)

Abstract

We study the adoption of artificial intelligence (AI) technologies among Italian firms and their effects on firm–level outcomes, using newly collected survey data linked to administrative balance sheet and employer–employee records. We document that, as of 2024, AI adoption remains limited: about 10 per cent of firms report current use, while nearly 30 per cent plan to adopt AI within the next two years. Adoption is concentrated among larger and more knowledge-intensive firms, as well as among firms with higher labour costs, pointing to the importance of organizational capacity, technological complementarities and efficiency considerations. Using a difference-in-differences framework, we show that AI adoption increases labour productivity and profitability, and leads to a reallocation of employment toward higher-skilled occupations through a statistically significant expansion of white-collar employment and a contraction of blue-collar employment, with no detectable effects on overall employment. Finally, we examine firms' expectations and find that AI-adopting firms anticipate smaller increases in their own prices and lower medium- to long-term inflation than non-adopters. These patterns suggest that AI adoption is associated with expected efficiency gains that shape both firms' pricing behaviour and their macroeconomic expectations.

Suggested Citation

  • Tiziano Ropele & Alex Tagliabracci, 2026. "The economic impact of artificial intelligence: evidence from Italian firms," Questioni di Economia e Finanza (Occasional Papers) 1005, Bank of Italy, Economic Research and International Relations Area.
  • Handle: RePEc:bdi:opques:qef_1005_26
    as

    Download full text from publisher

    File URL: https://www.bancaditalia.it/pubblicazioni/qef/2026-1005/QEF_1005_26.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Daron Acemoglu & Pascual Restrepo, 2018. "The Race between Man and Machine: Implications of Technology for Growth, Factor Shares, and Employment," American Economic Review, American Economic Association, vol. 108(6), pages 1488-1542, June.
    2. Bottone, Marco & Tagliabracci, Alex & Zevi, Giordano, 2022. "Inflation expectations and the ECB’s perceived inflation objective: Novel evidence from firm-level data," Journal of Monetary Economics, Elsevier, vol. 129(S), pages 15-34.
    3. Aldasoro, Iñaki & Gambacorta, Leonardo & Pal, Rozalia & Revoltella, Debora & Weiss, Christoph & Wolski, Marcin, 2026. "AI adoption, productivity and employment: Evidence from European firms," EIB Working Papers 2026/02, European Investment Bank (EIB).
    4. R?diger Bachmann & Steffen Elstner & Eric R. Sims, 2013. "Uncertainty and Economic Activity: Evidence from Business Survey Data," American Economic Journal: Macroeconomics, American Economic Association, vol. 5(2), pages 217-249, April.
    5. Lorenzo Bencivelli & Sara Formai & Elena Mattevi & Tullia Padellini, 2025. "Embracing the digital transition: the adoption of cloud computing and AI by Italian firms," Questioni di Economia e Finanza (Occasional Papers) 946, Bank of Italy, Economic Research and International Relations Area.
    6. Daron Acemoglu & David Autor & Jonathon Hazell & Pascual Restrepo, 2022. "Artificial Intelligence and Jobs: Evidence from Online Vacancies," Journal of Labor Economics, University of Chicago Press, vol. 40(S1), pages 293-340.
    7. Nicholas Bloom & Max Floetotto & Nir Jaimovich & Itay Saporta†Eksten & Stephen J. Terry, 2018. "Really Uncertain Business Cycles," Econometrica, Econometric Society, vol. 86(3), pages 1031-1065, May.
    8. Carlo Pizzinelli & Augustus J Panton & Ms. Marina Mendes Tavares & Mauro Cazzaniga & Longji Li, 2023. "Labor Market Exposure to AI: Cross-country Differences and Distributional Implications," IMF Working Papers 2023/216, International Monetary Fund.
    9. Daron Acemoglu & Gary Anderson & David Beede & Catherine Buffington & Eric Childress & Emin Dinlersoz & Lucia Foster & Nathan Goldschlag & John Haltiwanger & Zachary Kroff & Pascual Restrepo & Nikolas, 2023. "Advanced Technology Adoption: Selection or Causal Effects?," AEA Papers and Proceedings, American Economic Association, vol. 113, pages 210-214, May.
    10. 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.
    11. Antonio Dalla Zuanna & Davide Dottori & Elena Gentili & Salvatore Lattanzio, 2024. "An assessment of occupational exposure to artificial intelligence in Italy," Questioni di Economia e Finanza (Occasional Papers) 878, Bank of Italy, Economic Research and International Relations Area.
    12. Davide Dottori, 2021. "Robots and employment: evidence from Italy," Economia Politica: Journal of Analytical and Institutional Economics, Springer;Fondazione Edison, vol. 38(2), pages 739-795, July.
    13. Olivier Coibion & Yuriy Gorodnichenko, 2015. "Information Rigidity and the Expectations Formation Process: A Simple Framework and New Facts," American Economic Review, American Economic Association, vol. 105(8), pages 2644-2678, August.
    14. Tyna Eloundou & Sam Manning & Pamela Mishkin & Daniel Rock, 2023. "GPTs are GPTs: An Early Look at the Labor Market Impact Potential of Large Language Models," Papers 2303.10130, arXiv.org, revised Aug 2023.
    15. Zoë B. Cullen & Ester Faia & Elisa Guglielminetti & Ricardo Perez-Truglia & Concetta Rondinelli, 2025. "The Innovation Race: Experimental Evidence on Advanced Technologies," NBER Working Papers 34532, National Bureau of Economic Research, Inc.
    16. Aakash Kalyani & Nicholas Bloom & Marcela Carvalho & Tarek Hassan & Josh Lerner & Ahmed Tahoun, 2025. "The Diffusion of New Technologies," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 140(2), pages 1299-1365.
    17. Olivier Coibion & Yuriy Gorodnichenko & Tiziano Ropele, 2020. "Inflation Expectations and Firm Decisions: New Causal Evidence," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 135(1), pages 165-219.
    18. Nicholas Bloom, 2009. "The Impact of Uncertainty Shocks," Econometrica, Econometric Society, vol. 77(3), pages 623-685, May.
    19. Matteo Bugamelli & Francesca Lotti & Monica Amici & Emanuela Ciapanna & Fabrizio Colonna & Francesco D�Amuri & Silvia Giacomelli & Andrea Linarello & Francesco Manaresi & Giuliana Palumbo & Filippo , 2018. "Productivity growth in Italy: a tale of a slow-motion change," Questioni di Economia e Finanza (Occasional Papers) 422, Bank of Italy, Economic Research and International Relations Area.
    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. Chen, Cheng & Senga, Tatsuro & Sun, Chang & Zhang, Hongyong, 2023. "Uncertainty, imperfect information, and expectation formation over the firm’s life cycle," Journal of Monetary Economics, Elsevier, vol. 140(C), pages 60-77.
    2. Zohar, Osnat, 2024. "Cyclicality of uncertainty and disagreement," Journal of Monetary Economics, Elsevier, vol. 143(C).
    3. Carolin Pflueger & Emil Siriwardane & Adi Sunderam, 2019. "Financial Market Risk Perceptions and the Macroeconomy," NBER Working Papers 26290, National Bureau of Economic Research, Inc.
    4. Ciaschi, Matias & Falcone, Guillermo & Garganta, Santiago & Gasparini, Leonardo & Bertín, Octavio & Ramírez-Leira, Lucía, 2025. "The Potential Distributive Impact of AI-driven Labor Changes in Latin America," IDB Publications (Working Papers) 14253, Inter-American Development Bank.
    5. Frank M. Fossen & Trevor McLemore & Alina Sorgner, 2024. "Artificial Intelligence and Entrepreneurship," Foundations and Trends(R) in Entrepreneurship, now publishers, vol. 20(8), pages 781-904, December.
    6. Cheng CHEN & Tatsuro SENGA & Chang SUN & Hongyong ZHANG, 2016. "Firm Expectations and Investment: Evidence from the China-Japan Island Dispute," Discussion papers 16090, Research Institute of Economy, Trade and Industry (RIETI).
    7. Kristina McElheran & J. Frank Li & Erik Brynjolfsson & Zachary Kroff & Emin Dinlersoz & Lucia Foster & Nikolas Zolas, 2024. "AI adoption in America: Who, what, and where," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 33(2), pages 375-415, March.
    8. Demombynes, Gabriel & Langbein, Jorg Gero & Weber, Michael, 2025. "The Exposure of Workers to Artificial Intelligence in Low- and Middle-Income Countries," Policy Research Working Paper Series 11057, The World Bank.
    9. Berner, Julian & Buchholz, Manuel & Tonzer, Lena, 2020. "Asymmetric investment responses to firm-specific forecast errors," IWH Discussion Papers 5/2020, Halle Institute for Economic Research (IWH).
    10. Manuel Buchholz & Lena Tonzer & Julian Berner, 2022. "Firm‐specific forecast errors and asymmetric investment propensity," Economic Inquiry, Western Economic Association International, vol. 60(2), pages 764-793, April.
    11. Idriss Fontaine, 2021. "Uncertainty and Labour Force Participation," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 83(2), pages 437-471, April.
    12. Hakan Yilmazkuday, 2025. "Artificial intelligence and labor markets: evidence from google trends," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 49(4), pages 1078-1093, December.
    13. Bandi, Federico M. & Bretscher, Lorenzo & Tamoni, Andrea, 2023. "Return predictability with endogenous growth," Journal of Financial Economics, Elsevier, vol. 150(3).
    14. Okan Akarsu & Emrehan Aktug & Huzeyfe Torun, 2025. "Inflation Expectations and Firms' Decisions in High Inflation: Evidence from a Randomized Control Trial," Working Papers 2512, Research and Monetary Policy Department, Central Bank of the Republic of Turkey.
    15. Benhabib, Jess & Liu, Xuewen & Wang, Pengfei, 2016. "Endogenous information acquisition and countercyclical uncertainty," Journal of Economic Theory, Elsevier, vol. 165(C), pages 601-642.
    16. Carlos Cañizares Martínez & Arne Gieseck, 2025. "The effects of macro uncertainty shocks in the euro area: a FAVAR approach," Empirical Economics, Springer, vol. 68(6), pages 2829-2872, June.
    17. Ricco, Giovanni & Callegari, Giovanni & Cimadomo, Jacopo, 2014. "Signals from the Government: Policy Uncertainty and the Transmission of Fiscal Shocks," MPRA Paper 56136, University Library of Munich, Germany.
    18. Josué Diwambuena & Jean-Paul K. Tsasa, 2021. "The Real Effects of Uncertainty Shocks: New Evidence from Linear and Nonlinear SVAR Models," BEMPS - Bozen Economics & Management Paper Series BEMPS87, Faculty of Economics and Management at the Free University of Bozen.
    19. Funke, Manuel & Schularick, Moritz & Trebesch, Christoph, 2016. "Going to extremes: Politics after financial crises, 1870–2014," European Economic Review, Elsevier, vol. 88(C), pages 227-260.

    More about this item

    Keywords

    ;
    ;
    ;
    ;

    JEL classification:

    • E3 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles
    • L2 - Industrial Organization - - Firm Objectives, Organization, and Behavior
    • O14 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Industrialization; Manufacturing and Service Industries; Choice of Technology
    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes

    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:bdi:opques:qef_1005_26. 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: the person in charge (email available below). General contact details of provider: https://edirc.repec.org/data/bdigvit.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.