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The human capital behind AI: Jobs and skills demand from online job postings

Author

Listed:
  • Lea Samek

    (OECD)

  • Mariagrazia Squicciarini

    (OECD)

  • Emile Cammeraat

    (OECD)

Abstract

Building on recent OECD work, this paper analyses the skills sets (“skills bundles”) demanded in artificial intelligence (AI)-related online job postings. The analysis uses Burning Glass Technologies’ data for the United States and the United Kingdom and finds that skills related to the open source programming software Python and to machine learning represent “must-haves” for working with AI. Employers additionally value specialised skills related to robotics, AI development and applying AI. A comparison of the periods 2013-15 and 2017-19 shows that the latter two have become more interrelated over time, with “neural network” skills connecting both groups. Network analysis relating AI skills to general skills highlights the growing role of socio-emotional skills; and of skill bundles related to programming, management of big data and data analysis. Key results hold for both countries and time periods, though differences emerge across occupations and industries.

Suggested Citation

  • Lea Samek & Mariagrazia Squicciarini & Emile Cammeraat, 2021. "The human capital behind AI: Jobs and skills demand from online job postings," OECD Science, Technology and Industry Policy Papers 120, OECD Publishing.
    • Handle: RePEc:oec:stiaac:120-en
    DOI: 10.1787/2e278150-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. 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).
    3. 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.
    4. 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.

    More about this item

    Keywords

    AI; Online jobs; Skill bundles; Skills;
    All these keywords.

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