Arbeitspapier

Skills or Degree? The Rise of Skill-Based Hiring for AI and Green Jobs

For emerging professions, such as jobs in the field of Artificial Intelligence (AI) or sustainability (green), labour supply does not meet industry demand. In this scenario of labour shortages, our work aims to understand whether employers have started focusing on individual skills rather than on formal qualifications in their recruiting. By analysing a large time series dataset of around one million online job vacancies between 2019 and 2022 from the UK and drawing on diverse literature on technological change and labour market signalling, we provide evidence that employers have started so-called "skill-based hiring" for AI and green roles, as more flexible hiring practices allow them to increase the available talent pool. In our observation period the demand for AI roles grew twice as much as average labour demand. At the same time, the mention of university education for AI roles declined by 23%, while AI roles advertise five times as many skills as job postings on average. Our analysis also shows that university degrees no longer show an educational premium for AI roles, while for green positions the educational premium persists. In contrast, AI skills have a wage premium of 16%, similar to having a PhD (17%). Our work recommends making use of alternative skill building formats such as apprenticeships, on-the-job training, MOOCs, vocational education and training, micro-certificates, and online bootcamps to use human capital to its full potential and to tackle talent shortages.

Language
Englisch

Bibliographic citation
Series: CESifo Working Paper ; No. 10817

Classification
Wirtschaft
Large Data Sets: Modeling and Analysis
Higher Education; Research Institutions
Labor Demand
Human Capital; Skills; Occupational Choice; Labor Productivity
Wage Level and Structure; Wage Differentials
Subject
future of work
labour markets
skills
education
sustainability

Event
Geistige Schöpfung
(who)
Ehlinger, Eugenia Gonzalez
Stephany, Fabian
Event
Veröffentlichung
(who)
Center for Economic Studies and ifo Institute (CESifo)
(where)
Munich
(when)
2023

Handle
Last update
09.06.2025, 12:15 AM CEST

Data provider

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Object type

  • Arbeitspapier

Associated

  • Ehlinger, Eugenia Gonzalez
  • Stephany, Fabian
  • Center for Economic Studies and ifo Institute (CESifo)

Time of origin

  • 2023

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