Reframing Talent Management with AI: The Organizing Vision of Skills Intelligence

Skills intelligence is rapidly redefining talent management approaches, fueling the shift from credential-based to skills-based strategies. Drawing on organizing vision theory, this paper conceptualizes skills intelligence as an emergent socio-technical phenomenon enabled by AI. Through qualitative data analysis of the practitioner discourse, we identify the key components, functions, and affordances of skills intelligence, and argue that it has profound implications for employees, organizations, and labor markets. Our findings reveal that although industry narratives highlight the positive outcomes of efficiency and agility associated with AI-enabled skills systems, they frequently neglect critical perspectives on their unintended consequences. The paper concludes with a call to action to mobilize information systems (IS) and talent management scholars toward a critical and future-oriented approach to shaping the trajectory of this evolving technology.

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Publication Details

Journal
ScholarSpace (University of Hawaii at Manoa)
Published
2025-12-23
Primary Topic
Human Resource and Talent Management
Type
article
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article

Reframing Talent Management with AI: The Organizing Vision of Skills Intelligence

Stefan Jooss, Olgerta Tona, Ida Someh, Tapani Rinta-Kahila et al.
ScholarSpace (University of Hawaii at Manoa)
Human Resource and Talent Management
article

Reframing Talent Management with AI: The Organizing Vision of Skills Intelligence

Stefan Jooss, Olgerta Tona, Ida Someh, Tapani Rinta-Kahila, Nick Van Der Meulen, Jake Morrill
article en

Abstract

Skills intelligence is rapidly redefining talent management approaches, fueling the shift from credential-based to skills-based strategies. Drawing on organizing vision theory, this paper conceptualizes skills intelligence as an emergent socio-technical phenomenon enabled by AI. Through qualitative data analysis of the practitioner discourse, we identify the key components, functions, and affordances of skills intelligence, and argue that it has profound implications for employees, organizations, and labor markets. Our findings reveal that although industry narratives highlight the positive outcomes of efficiency and agility associated with AI-enabled skills systems, they frequently neglect critical perspectives on their unintended consequences. The paper concludes with a call to action to mobilize information systems (IS) and talent management scholars toward a critical and future-oriented approach to shaping the trajectory of this evolving technology.

ScholarSpace (University of Hawaii at Manoa)
Decent work and economic growth
Openalex Percentile: Top 25%
Human Resource and Talent Management
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Reframing Talent Management with AI: The Organizing Vision of Skills Intelligence — Stefan Jooss, Olgerta Tona, et al. · ScholarSpace (University of Hawaii at Manoa) (2025) | TGRS Research Map | TGRS