Abstract
The changing world of work, driven by automation and digital tech-nologies, requires a workforce that continuously adapts its skills in order to be competitive and employable. This dynamic environment has fueled the demand for advanced skills management, with artificial intelligence (AI) playing a critical role in measuring and supporting individual skills development. This paper looks at AI-based competency profiles as a strategic tool for talent acquisition, reten-tion, and development and highlights their potential challenges. Using semi-structured interviews with experts from HR, education, and industry, we explore the multiple challenges of AI-based skills management from a theoretical, con-ceptual, and practical perspective. Our findings reveal complex problems at the individual, team, organizational, and systemic levels that form a basis for the de-velopment of effective AI-based skills management strategies. This research highlights the importance of using AI to foster an adaptable and skilled workforce that meets both current needs and future challenges.
Recommended Citation
Freise, Leonie Rebecca; Bretschneider, Ulrich; and Oeste-Reiss, Sarah, "Skills in Flux – Challenges in AI-based Skills Management and Skills Profiles" (2024). Wirtschaftsinformatik 2024 Proceedings. 10.
https://aisel.aisnet.org/wi2024/10