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Skills in Flux: Challenges in AI-Based Skills Management and Skills Profiles

In: Digital Innovation and Organizational Transformation

Author

Listed:
  • Leonie Rebecca Freise

    (University of Kassel, Information Systems)

  • Ulrich Bretschneider

    (University of Kassel, Information Systems)

  • Sarah Oeste-Reiss

    (University of Kiel, Information Systems)

Abstract

The changing world of work, driven by automation and digital technologies, 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, retention, 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, conceptual, and practical perspective. Our findings reveal complex problems at the individual, team, organizational, and systemic levels that form a basis for the development 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.

Suggested Citation

  • Leonie Rebecca Freise & Ulrich Bretschneider & Sarah Oeste-Reiss, 2026. "Skills in Flux: Challenges in AI-Based Skills Management and Skills Profiles," Lecture Notes in Information Systems and Organization, in: Christoph M. Flath & Gunther Gust & Frédéric Thiesse & Axel Winkelmann (ed.), Digital Innovation and Organizational Transformation, pages 247-262, Springer.
    • Handle: RePEc:spr:lnichp:978-3-032-08483-5_17
    DOI: 10.1007/978-3-032-08483-5_17
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