IDEAS home Printed from https://ideas.repec.org/a/bas/econth/y2025i2p139-171.html

Socio-Economic Impacts of Artificial Intelligence and Digitalization in Post-COVID-19 Europe

Author

Listed:
  • Gancho Ganchev
  • Mariya Paskaleva
  • Kalina Durova-Angelova
  • Yordanka Noneva-Zlatkova

Abstract

The present article addresses a problem which is an extremely important, relevant, and under-researched topic. As a whole, Europe lags behind China and other technologically advanced countries in the field of artificial intelligence (AI) and digitalization; Bulgaria is among the worst places in the EU in terms of digitalization of the economy. This research contributes to understanding the social and economic significance of digitization and AI in the EU after COVID-19. The emergence of artificial intelligence in the socio-economic landscape of EU member states, coupled with accelerated digitalization, heralds a new era in their development which is anticipated to enhance productivity, innovation, and efficiency. This article aims to study and analyse the theoretical foundations as well as empirical and legal developments concerning the socio-economic effects of Europe's "digital decade" and the applications of AI in a post-pandemic era. SWOT analysis was conducted to pinpoint the strengths, weaknesses, opportunities, and recommendations associated with the use of AI in EU countries. Conclusions and recommendations are provided for implementing suitable state interventions, transforming the pandemic's challenges into growth through new technologies, and helping to achieve a high standard of living in all EU nations.

Suggested Citation

  • Gancho Ganchev & Mariya Paskaleva & Kalina Durova-Angelova & Yordanka Noneva-Zlatkova, 2025. "Socio-Economic Impacts of Artificial Intelligence and Digitalization in Post-COVID-19 Europe," Economic Thought journal, Bulgarian Academy of Sciences - Economic Research Institute, issue 2, pages 139-171.
  • Handle: RePEc:bas:econth:y:2025:i:2:p:139-171
    as

    Download full text from publisher

    File URL: https://etj.iki.bas.bg/storage/app/uploads/public/685/190/be9/685190be9f600214360799.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Guy Ben-Ishai & Jeff Dean & James Manyika & Ruth Porat & Hal Varian & Kent Walker, 2024. "AI and the Opportunity for Shared Prosperity: Lessons from the History of Technology and the Economy," Papers 2401.09718, arXiv.org, revised Feb 2024.
    2. Georgiana-Alina Crisan & Madalina Ecaterina Popescu & Eva Militaru & Amalia Cristescu, 2023. "EU Diversity in Terms of Digitalization on the Labor Market in the Post-COVID-19 Context," Economies, MDPI, vol. 11(12), pages 1-19, December.
    3. Daron Acemoglu & Pascual Restrepo, 2018. "Artificial Intelligence, Automation and Work," Boston University - Department of Economics - Working Papers Series dp-298, Boston University - Department of Economics.
    4. Kleopatra Nikolopoulou, 2022. "Students’ Mobile Phone Practices for Academic Purposes: Strengthening Post-Pandemic University Digitalization," Sustainability, MDPI, vol. 14(22), pages 1-13, November.
    5. Alina Georgiana Manta & Claudia Gherțescu & Roxana Maria Bădîrcea & Liviu Florin Manta & Jenica Popescu & Cătălin Valentin Mihai Lăpădat, 2025. "How Does the Interplay Between Banking Performance, Digitalization, and Renewable Energy Consumption Shape Sustainable Development in European Union Countries?," Energies, MDPI, vol. 18(3), pages 1-35, January.
    6. Ritika Chopra & Gagan Deep Sharma, 2021. "Application of Artificial Intelligence in Stock Market Forecasting: A Critique, Review, and Research Agenda," JRFM, MDPI, vol. 14(11), pages 1-34, November.
    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. Estrada, Mario Arturo Ruiz & Park, Donghyun & Staniewski, Marcin, 2023. "Artificial Intelligence (AI) can change the way of doing policy modelling," Journal of Policy Modeling, Elsevier, vol. 45(6), pages 1099-1112.
    2. Mahmut Ozer & Matjaž Perc, 2020. "Dreams and realities of school tracking and vocational education," Humanities and Social Sciences Communications, Palgrave Macmillan, vol. 6(1), pages 1-7, December.
    3. David Rezza Baqaee & Emmanuel Farhi, 2018. "Macroeconomics with Heterogeneous Agents and Input-Output Networks," NBER Working Papers 24684, National Bureau of Economic Research, Inc.
    4. Anna-Maria Kanzola, 2024. "The Knowledge Content of the Greek Production Structure in the Aftermath of the Greek Crisis," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 15(1), pages 936-957, March.
    5. repec:eur:ejesjr:364 is not listed on IDEAS
    6. Benedetta Montanaro & Annalisa Croce & Elisa Ughetto, 2024. "Venture capital investments in artificial intelligence," Journal of Evolutionary Economics, Springer, vol. 34(1), pages 1-28, January.
    7. Xiangyi Li & Qing Wang & Ying Tang, 2024. "The Impact of Artificial Intelligence Development on Urban Energy Efficiency—Based on the Perspective of Smart City Policy," Sustainability, MDPI, vol. 16(8), pages 1-22, April.
    8. Zilian, Laura S. & Zilian, Stella S. & Jäger, Georg, 2021. "Labour market polarisation revisited: evidence from Austrian vacancy data," Journal for Labour Market Research, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany], vol. 55, pages 1-007.
    9. Keeheon Lee, 2021. "A Systematic Review on Social Sustainability of Artificial Intelligence in Product Design," Sustainability, MDPI, vol. 13(5), pages 1-29, March.
    10. Venturini, Francesco, 2022. "Intelligent technologies and productivity spillovers: Evidence from the Fourth Industrial Revolution," Journal of Economic Behavior & Organization, Elsevier, vol. 194(C), pages 220-243.
    11. Chen Wu & Yang Cao & Hao Xu, 2025. "How Population Aging Drives Labor Productivity: Evidence from China," Sustainability, MDPI, vol. 17(11), pages 1-28, May.
    12. Gilbert Cette & Lorraine Koehl & Thomas Philippon, 2019. "The Labor Share in the Long Term: A Decline?," Post-Print hal-02446713, HAL.
    13. Heyman, Fredrik & Olsson, Martin, 2022. "Long-Run Effects of Technological Change: The Impact of Automation and on Intergenerational Mobility," Working Paper Series 1451, Research Institute of Industrial Economics, revised 12 Dec 2025.
    14. Gabriel López-Martínez & Francisco Eduardo Haz-Gómez & José Eulogio Real Deus, 2023. "Are You Really Your Own Boss? Flexi-Vulnerability and False Consciousness of Autonomy in the Digital Labor Culture of Riders," Social Sciences, MDPI, vol. 12(8), pages 1-18, July.
    15. Lu, Jing & Xiao, Qinglan & Wang, Taoxuan, 2023. "Does the digital economy generate a gender dividend for female employment? Evidence from China," Telecommunications Policy, Elsevier, vol. 47(6).
    16. Alejandro Micco, 2019. "The Impact of Automation in Developed Countries," Working Papers wp480, University of Chile, Department of Economics.
    17. Alexander Cuntz & Carsten Fink & Hansueli Stamm, 2024. "Artificial Intelligence and Intellectual Property : An Economic Perspective," WIPO Economic Research Working Papers 77, World Intellectual Property Organization - Economics and Statistics Division.
    18. Brodzicki, Tomasz, 2024. "Heterogeneous Firms and AI Adoption. Dynamic Insights into Market Structure and Global Trade," MPRA Paper 127767, University Library of Munich, Germany, revised 01 Apr 2025.
    19. Anastasios Evgenidis & Apostolos Fasianos, 2025. "AI news shocks and the macroeconomy: evidence from UK patent data," IFS Working Papers W25/48, Institute for Fiscal Studies.
    20. Zhang, Hongyuan & Ding, Yibing & Niu, Jing & Jung, Samuel, 2024. "How artificial intelligence affects international industrial transfer — Evidence from industrial robot application," Journal of Asian Economics, Elsevier, vol. 95(C).
    21. 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.

    More about this item

    JEL classification:

    • D02 - Microeconomics - - General - - - Institutions: Design, Formation, Operations, and Impact
    • L2 - Industrial Organization - - Firm Objectives, Organization, and Behavior
    • M1 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Administration

    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:bas:econth:y:2025:i:2:p:139-171. 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: Diana Dimitrova (email available below). General contact details of provider: https://edirc.repec.org/data/ikbasbg.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.