Literaturnachweis - Detailanzeige
| Autor/inn/en | Bone, Matthew; González Ehlinger, Eugenia; Stephany, Fabian |
|---|---|
| Titel | Skills or degree? The rise of skill-based hiring for AI and green jobs. Gefälligkeitsübersetzung: Qualifikationen oder Abschluss? Der Anstieg von qualifizierten Einstellungen für KI und grüne Arbeitsplätze. |
| Quelle | In: Technological forecasting & social change, (2025) 214, 23 S.
PDF als Volltext |
| Sprache | englisch |
| Dokumenttyp | online; gedruckt; Zeitschriftenaufsatz |
| ISSN | 0040-1625 |
| DOI | 10.1016/j.techfore.2025.124042 |
| Schlagwörter | Künstliche Intelligenz; Bildungsertrag; Fachkenntnisse; Nachhaltige Entwicklung; Personalauswahl; Qualifikation; Qualifikationsanforderung; Qualifikationsniveau; Stellenangebot; Informationstechnischer Beruf; Neuer Beruf; Umweltberuf; Jobbörse; Hochschulabsolvent; Großbritannien |
| Abstract | "Emerging professions in fields like Artificial Intelligence (AI) and sustainability (green jobs) are experiencing labor shortages as industry demand outpaces labor 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 analyzed 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 labor market signallng. 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." The study refers to the period 2019-2022 (Author's abstract, IAB-Doku, © 2025 The Authors. Published by Elsevier Inc.). |
| Erfasst von | Institut für Arbeitsmarkt- und Berufsforschung, Nürnberg |
| Update | 2025/3 |