Abstract
Purpose – The purpose of this paper is to explore the implications of artificial intelligence (AI) for the world of work, with a specific focus on human resources (HR). This paper aims to examine their potential benefits, challenges and transformative effects on white-collar work.
Design/methodology/approach – This paper reports on a one year case study of the AI@Work Learning Community, which is an initiative we started to facilitate collaboration between scholars and practitioners to support the AI transformation.
Findings – The findings highlight the opportunities, challenges and competencies required for the AI transformation. Participants of the AI@Work Learning Community have identified many possibilities for AI adoption and use, but also acknowledged the difficulties in implementing them due to consequences for work, managerial implications and societal requirements. Moreover, specific knowledge, skills and competencies are needed to facilitate the AI transformation.
Originality/value – The authors’ approach with the AI@Work Learning Community is innovative and provides not only valuable insights into the possibilities and risks of AI and its consequences for HR, but also illustrates how scholars and practitioners need to work together to achieve successful AI transformations.
Keywords Human resource management, Healthcare, Transformation, HR professionals, Artificial Intelligence, Learning Community
Paper type Case report
Design/methodology/approach – This paper reports on a one year case study of the AI@Work Learning Community, which is an initiative we started to facilitate collaboration between scholars and practitioners to support the AI transformation.
Findings – The findings highlight the opportunities, challenges and competencies required for the AI transformation. Participants of the AI@Work Learning Community have identified many possibilities for AI adoption and use, but also acknowledged the difficulties in implementing them due to consequences for work, managerial implications and societal requirements. Moreover, specific knowledge, skills and competencies are needed to facilitate the AI transformation.
Originality/value – The authors’ approach with the AI@Work Learning Community is innovative and provides not only valuable insights into the possibilities and risks of AI and its consequences for HR, but also illustrates how scholars and practitioners need to work together to achieve successful AI transformations.
Keywords Human resource management, Healthcare, Transformation, HR professionals, Artificial Intelligence, Learning Community
Paper type Case report
| Original language | English |
|---|---|
| Number of pages | 6 |
| Journal | Strategic HR Review |
| DOIs | |
| Publication status | Published - 23 Sept 2025 |
Keywords
- UT-Hybrid-D