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Drivers of employment dynamics of AI innovators

Author

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  • Damioli, Giacomo
  • Van Roy, Vincent
  • Vértesy, Dániel
  • Vivarelli, Marco

Abstract

Based on an analysis of companies developing artificial intelligence (AI) technologies, this study offers fresh evidence on the role of innovation as one of the drivers of employment growth. GMM-SYS estimates on a worldwide longitudinal dataset covering 4,184 firms that patented inventions involving AI technologies between 2000 and 2016 show a positive and significant impact of AI patent families on employment. The effect, presumably of product innovations, is small in magnitude and limited to service sectors and younger firms, which are at the forefront of the leaders of the AI revolution. We also detect some evidence of increasing returns, suggesting that innovative companies more focused on AI technologies are achieving larger impacts in terms of job creation.

Suggested Citation

  • Damioli, Giacomo & Van Roy, Vincent & Vértesy, Dániel & Vivarelli, Marco, 2024. "Drivers of employment dynamics of AI innovators," Technological Forecasting and Social Change, Elsevier, vol. 201(C).
    • Handle: RePEc:eee:tefoso:v:201:y:2024:i:c:s0040162524000453
    DOI: 10.1016/j.techfore.2024.123249
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    Citations

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    Cited by:

    1. Qin, Meng & Wan, Yue & Dou, Junyi & Su, Chi Wei, 2024. "Artificial Intelligence: Intensifying or mitigating unemployment?," Technology in Society, Elsevier, vol. 79(C).
    2. 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.
    3. Guarascio, Dario & Reljic, Jelena, 2025. "AI and employment in Europe," Economics Letters, Elsevier, vol. 247(C).
    4. Dou, Jie & Chen, Dongjing & Zhang, Yuchen, 2025. "Towards energy transition: Accessing the significance of artificial intelligence in ESG performance," Energy Economics, Elsevier, vol. 146(C).
    5. Francesco D’Alessandro & Enrico Santarelli & Marco Vivarelli, 2026. "The KSTE + I approach and the advent of AI technologies: evidence from the European regions," The Journal of Technology Transfer, Springer, vol. 51(1), pages 414-451, February.
    6. D'Allesandro, Francesco & Santarelli, Enrico & Vivarelli, Marco, 2024. "The KSTE+I approach and the AI technologies," MERIT Working Papers 2024-016, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
    7. D’Alessandro, Francesco & Santarelli, Enrico & Vivarelli, Marco, 2024. "The Knowledge Spillover Theory of Entrepreneurship and Innovation (KSTE+I) Approach and the Advent of AI Technologies: Evidence from the European Regions," IZA Discussion Papers 17206, IZA Network @ LISER.
    8. Emre Akusta, 2025. "Is Jobless Growth Valid in Turkiye? A Sectoral Analysis of the Relationship between Unemployment and Economic Growth," Papers 2512.03821, arXiv.org, revised Dec 2025.
    9. Damioli, Giacomo & Van Roy, Vincent & Vertesy, Daniel & Vivarelli, Marco, 2024. "Is Artificial Intelligence Generating a New Paradigm? Evidence from the Emerging Phase," IZA Discussion Papers 17183, IZA Network @ LISER.
    10. Florencia Jaccoud, 2025. "Robots & AI exposure and wage inequality: a within occupation approach," Eurasian Business Review, Springer;Eurasia Business and Economics Society, vol. 15(4), pages 1035-1090, December.
    11. Damioli, Giacomo & Van Roy, Vincent & Vertesy, Daniel & Vivarelli, Marco, 2025. "Is artificial intelligence leading to a new technological paradigm?," Structural Change and Economic Dynamics, Elsevier, vol. 72(C), pages 347-359.
    12. Nathalie Greenan & Dario Guarascio & Jelena Reljic, 2025. "AI and the labour market: opening the black box," Eurasian Business Review, Springer;Eurasia Business and Economics Society, vol. 15(4), pages 925-951, December.
    13. Giacomo Damioli & Vincent Van Roy & Daniel Vertesy & Marco Vivarelli, 2024. "AI as a new emerging technological paradigm: evidence from global patenting," DISCE - Working Papers del Dipartimento di Politica Economica dipe0038, Università Cattolica del Sacro Cuore, Dipartimenti e Istituti di Scienze Economiche (DISCE).
    14. Hanjin Xie & Fengquan Wu, 2025. "Artificial Intelligence Technology and Corporate ESG Performance: Empirical Evidence from Chinese-Listed Firms," Sustainability, MDPI, vol. 17(2), pages 1-20, January.

    More about this item

    Keywords

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    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
    • O31 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Innovation and Invention: Processes and Incentives
    • O30 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - General

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