IDEAS home Printed from https://ideas.repec.org/p/cep/cepsps/50.html
   My bibliography  Save this paper

Innovation through crises in the 2020s: survey evidence on digital, AI and net zero innovation in UK firms

Author

Listed:
  • Juliana Oliveira-Cunha
  • Bruno Serra-Lorenzo
  • Anna Valero

Abstract

In this policy brief, we present new data from a survey of 373 UK firms conducted in May 2024 in partnership with the Confederation of British Industry (CBI). This is a follow-up to our two earlier surveys which revealed that firms adopted more new digital technologies in response to the Covid-19 pandemic. The surveys showed that such innovative activity had persisted, but that innovation patterns were uneven - with larger and more digitised businesses being more likely to adopt new technologies since the pandemic. Since then, UK businesses and consumers have faced significant challenges, including the cost-of-living and energy crises, while continuing to adapt to changes brought about by Brexit. This survey wave provides an updated view on business innovation through crises and change in the early 2020s.

Suggested Citation

  • Juliana Oliveira-Cunha & Bruno Serra-Lorenzo & Anna Valero, 2025. "Innovation through crises in the 2020s: survey evidence on digital, AI and net zero innovation in UK firms," CEP Reports 50, Centre for Economic Performance, LSE.
  • Handle: RePEc:cep:cepsps:50
    as

    Download full text from publisher

    File URL: https://cep.lse.ac.uk/pubs/download/special/cepsp50.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Daron Acemoglu, 2025. "The simple macroeconomics of AI," Economic Policy, CEPR, CESifo, Sciences Po;CES;MSH, vol. 40(121), pages 13-58.
    2. Draca, Mirko & Nathan, Max & Nguyen-Tien, Viet & Oliveira-Cunha, Juliana & Rosso, Anna & Valero, Anna, 2024. "The New Wave? The Role of Human Capital and STEM Skills in Technology Adoption in the UK," The Warwick Economics Research Paper Series (TWERPS) 1521, University of Warwick, Department of Economics.
    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. José Ignacio Conde-Ruiz & Juan José Ganuza Fernandez & Manuel García & Carlos Victoria Lanzón, 2024. "AI and Digital Technology: Gender Gaps in Higher Education," CESifo Economic Studies, CESifo Group, vol. 70(3), pages 244-270.
    2. Maximilian Schaefer, 2025. "When Should we Expect Non-Decreasing Returns from Data in Prediction Tasks?," Papers 2503.03602, arXiv.org.
    3. Carlo Drago & Alberto Costantiello & Marco Savorgnan & Angelo Leogrande, 2025. "Macroeconomic and Labor Market Drivers of AI Adoption in Europe: A Machine Learning and Panel Data Approach," Economies, MDPI, vol. 13(8), pages 1-62, August.
    4. Carlo Drago & Alberto Costantiello & Marco Savorgnan & Angelo Leogrande, 2025. "Driving AI Adoption in the EU: A Quantitative Analysis of Macroeconomic Influences," Working Papers hal-05102974, HAL.
    5. Kostarakos Ilias & Marques Santos Anabela & Molica Francesco, 2025. "Regional resilience in the era of climate change and digitalization," JRC Working Papers on Territorial Modelling and Analysis 2025-08, Joint Research Centre.
    6. Nida Çakır Melek, 2025. "Marshall B. Reinsdorf and Louise Sheiner (editors): The Measure of Economies: Measuring Productivity in an Age of Technological Change," Business Economics, Palgrave Macmillan;National Association for Business Economics, vol. 60(3), pages 175-178, July.
    7. Zhen-Er Jiang & Fu Huang & Qiang Wu, 2025. "The Impact of AI on Corporate Green Transformation: Empirical Evidence from China," Sustainability, MDPI, vol. 17(17), pages 1-20, August.
    8. 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.
    9. Saam Marianne, 2024. "Macroeconomic Productivity Effects of Artificial Intelligence," The Economists' Voice, De Gruyter, vol. 21(2), pages 327-333.
    10. Xavier Gabaix & Ralph S J Koijen & Robert Richmond & Motohiro Yogo, 2024. "Artificial intelligence and big holdings data: Opportunities for central banks," BIS Working Papers 1222, Bank for International Settlements.
    11. Li, Chao & Lao, Wenyu & Li, Xiang & Zhang, Yuhan, 2024. "Automated workforce, financial precarities and family consumption: The importance of demand-side policies under the background of automation applications," Economic Analysis and Policy, Elsevier, vol. 84(C), pages 1287-1308.
    12. Naudé, Wim, 2024. "What They Don't Teach You about Artificial Intelligence at Business School: Stagnation, Oil, and War," IZA Discussion Papers 17306, Institute of Labor Economics (IZA).
    13. James Bono & Alec Xu, 2024. "Randomized Controlled Trials for Security Copilot for IT Administrators," Papers 2411.01067, arXiv.org, revised Nov 2024.
    14. Stefania Albanesi & António Dias da Silva & Juan F Jimeno & Ana Lamo & Alena Wabitsch, 2025. "New technologies and jobs in Europe," Economic Policy, CEPR, CESifo, Sciences Po;CES;MSH, vol. 40(121), pages 71-139.
    15. Benjamin Laufer & Jon Kleinberg & Hoda Heidari, 2025. "The Backfiring Effect of Weak AI Safety Regulation," Papers 2503.20848, arXiv.org, revised Jun 2025.
    16. Eleanor Wiske Dillon & Sonia Jaffe & Nicole Immorlica & Christopher T. Stanton, 2025. "Shifting Work Patterns with Generative AI," Papers 2504.11436, arXiv.org, revised Jul 2025.
    17. Simone Vannuccini, 2025. "Move fast and integrate things: The making of a European Industrial Policy for Artificial Intelligence," MIOIR Working Paper Series 2025-02, The Manchester Institute of Innovation Research (MIoIR), The University of Manchester.
    18. L. Elisa Celis & Lingxiao Huang & Nisheeth K. Vishnoi, 2025. "A Mathematical Framework for AI-Human Integration in Work," Papers 2505.23432, arXiv.org, revised May 2025.
    19. Casey O. Barkan, 2024. "Can an increase in productivity cause a decrease in production? Insights from a model economy with AI automation," Papers 2411.15718, arXiv.org.
    20. Luca Fontanelli & Flavio Calvino & Chiara Criscuolo & Lionel Nesta & Elena Verdolini, 2024. "The role of human capital for AI adoption: Evidence from French firms," Post-Print hal-05029748, HAL.

    More about this item

    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:cep:cepsps:50. 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://cep.lse.ac.uk/_new/publications/special-reports/ .

    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.