Skills or Degree? The Rise of Skill-Based Hiring for AI and Green Jobs
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| Format: | Preprint |
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2023
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| _version_ | 1866910686173462528 |
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| author | Bone, Matthew Ehlinger, Eugenia Stephany, Fabian |
| author_facet | Bone, Matthew Ehlinger, Eugenia Stephany, Fabian |
| contents | 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 2018-2023, 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. |
| format | Preprint |
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arxiv_https___arxiv_org_abs_2312_11942 |
| institution | arXiv |
| publishDate | 2023 |
| record_format | arxiv |
| spellingShingle | Skills or Degree? The Rise of Skill-Based Hiring for AI and Green Jobs Bone, Matthew Ehlinger, Eugenia Stephany, Fabian General Economics Economics Artificial Intelligence 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 2018-2023, 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. |
| title | Skills or Degree? The Rise of Skill-Based Hiring for AI and Green Jobs |
| topic | General Economics Economics Artificial Intelligence |
| url | https://arxiv.org/abs/2312.11942 |