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Demand for AI skills in jobs: Evidence from online job postings

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  • Mariagrazia Squicciarini
  • Heike Nachtigall

Abstract

This report presents new evidence about occupations requiring artificial intelligence (AI)-related competencies, based on online job posting data and previous work on identifying and measuring developments in AI. It finds that the total number of AI-related jobs increased over time in the four countries considered – Canada, Singapore, the United Kingdom and the United States – and that a growing number of jobs require multiple AI-related skills. Skills related to communication, problem solving, creativity and teamwork gained relative importance over time, as did complementary software-related and AI-specific competencies. As expected, many AI-related jobs are posted in categories such as “professionals” and “technicians and associated professionals”, though AI-related skills are in demand, to varying degrees, across almost all sectors of the economy. In all countries considered, the sectors “Information and Communication”, “Financial and Insurance Activities” and “Professional, Scientific and Technical Activities” are the most AI job-intensive.

Suggested Citation

  • Mariagrazia Squicciarini & Heike Nachtigall, 2021. "Demand for AI skills in jobs: Evidence from online job postings," OECD Science, Technology and Industry Working Papers 2021/03, OECD Publishing.
    • Handle: RePEc:oec:stiaaa:2021/03-en
    DOI: 10.1787/3ed32d94-en
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    Cited by:

    1. Arendt, Lukasz & Gałecka-Burdziak, Ewa & Núñez, Fernando & Pater, Robert & Usabiaga, Carlos, 2023. "Skills requirements across task-content groups in Poland: What online job offers tell us," Technological Forecasting and Social Change, Elsevier, vol. 187(C).
    2. Igna, Ioana & Venturini, Francesco, 2023. "The determinants of AI innovation across European firms," Research Policy, Elsevier, vol. 52(2).
    3. Samokhvalov Konstantin, 2024. "The Transformative Impact of Artificial Intelligence on the Management Consultancy Sector," Management Consulting Journal, Sciendo, vol. 7(1), pages 59-68, January.
    4. Usabiaga, Carlos & Núñez, Fernando & Arendt, Lukasz & Gałecka-Burdziak, Ewa & Pater, Robert, 2022. "Skill requirements and labour polarisation: An association analysis based on Polish online job offers," Economic Modelling, Elsevier, vol. 115(C).
    5. Farhat Chowdhury & Albert N Link & Martijn van Hasselt, 2022. "The spatial distribution of public support for AI research [Agglomeration and Productivity: Evidence from Firm-Level Data]," Science and Public Policy, Oxford University Press, vol. 49(4), pages 573-579.
    6. Sinem Kilic Celik & M. Ayhan Kose & Franziska Ohnsorge, 2023. "Potential Growth Prospects: Risks, Rewards and Policies," CAMA Working Papers 2023-19, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    7. Łukasz Arendt & Eugeniusz Kwiatkowski, 2023. "Kontrowersje wokół wpływu nowoczesnych technologii na zatrudnienie i bezrobocie," Ekonomista, Polskie Towarzystwo Ekonomiczne, issue 2, pages 195-216.
    8. Farhat Chowdhury & Albert N. Link & Martijn Hasselt, 2022. "Public support for research in artificial intelligence: a descriptive study of U.S. Department of Defense SBIR Projects," The Journal of Technology Transfer, Springer, vol. 47(3), pages 762-774, June.
    9. Fatima, Samar & Desouza, Kevin C. & Dawson, Gregory S. & Denford, James S., 2022. "Interpreting national artificial intelligence plans: A screening approach for aspirations and reality," Economic Analysis and Policy, Elsevier, vol. 75(C), pages 378-388.
    10. Cunningham,Wendy & Moroz,Harry Edmund & Muller,Noel & Solatorio,Aivin Vicquierra, 2022. "The Demand for Digital and Complementary Skills in Southeast Asia," Policy Research Working Paper Series 10070, The World Bank.
    11. Josten, Cecily & Krause, Helen & Lordan, Grace & Yeung, Brian, 2024. "What skills pay more? The changing demand and return to skills for professional workers," LSE Research Online Documents on Economics 121450, London School of Economics and Political Science, LSE Library.

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    Keywords

    Digital; Employment; Science & Technology;
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