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Skills or degree? The rise of skill-based hiring for AI and green jobs

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  • Bone, Matthew
  • González Ehlinger, Eugenia
  • Stephany, Fabian

Abstract

Emerging professions in fields like Artificial Intelligence (AI) and sustainability (green jobs) are experiencing labour shortages as industry demand outpaces labour supply. In this context, our study aims to understand whether employers have begun focusing more on individual skills rather than formal qualifications in their recruitment processes. We analysed a large time-series dataset of approximately eleven million online job vacancies in the UK from 2018 to mid-2024, drawing on diverse literature on technological change and labour market signalling. Our findings provide evidence that employers have initiated “skill-based hiring” for AI roles, adopting more flexible hiring practices to expand the available talent pool. From 2018 to 2023, demand for AI roles grew by 21 % as a proportion of all postings (and accelerated into 2024). Simultaneously, mentions of university education requirements for AI roles declined by 15 %. Our regression analysis shows that university degrees have a significantly lower wage premium for both AI and green roles. In contrast, AI skills command a wage premium of 23 %, exceeding the value of degrees up until the PhD-level (33 %). In occupations with high demand for AI skills, the premium for skills is high, and the reward for degrees is relatively low. We recommend leveraging alternative skill-building formats such as apprenticeships, on-the-job training, MOOCs, vocational education and training, micro-certificates, and online bootcamps to fully utilise human capital and address talent shortages.

Suggested Citation

  • Bone, Matthew & González Ehlinger, Eugenia & Stephany, Fabian, 2025. "Skills or degree? The rise of skill-based hiring for AI and green jobs," Technological Forecasting and Social Change, Elsevier, vol. 214(C).
  • Handle: RePEc:eee:tefoso:v:214:y:2025:i:c:s0040162525000733
    DOI: 10.1016/j.techfore.2025.124042
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    More about this item

    Keywords

    Future of work; Labour markets; Skills; Education; AI; Sustainability;
    All these keywords.

    JEL classification:

    • C55 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Large Data Sets: Modeling and Analysis
    • I23 - Health, Education, and Welfare - - Education - - - Higher Education; Research Institutions
    • J23 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Labor Demand
    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity
    • J31 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - Wage Level and Structure; Wage Differentials

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