AI meets IA : a typology of GenAI-supported work through individual ambidexterity

Dragičević Rogge, Nikolina (author), Lamovšek, Amadeja (author), Batistič, Saša (author)

As generative artificial intelligence (GenAI) reshapes job roles and creates new challenges for workforce adaptation, managers require a clear framework to navigate this transformation. This study develops a typology of GenAI-supported work grounded in individual ambidexterity (IA), which highlights employees’ capacity to balance exploration and exploitation while navigating competing demands. A thorough review of the literature and empirical examples revealed four GenAIenabled work types: (1) design and innovation, (2) data analysis and insight evocation, (3) customer service and engagement, and (4) content generation and optimization. These work types reflect the interplay of two critical IA tensions: (1) specialization [generalist vs. specialist] and (2) task routinization [routine vs. nonroutine], offering insights into how employees can adapt their skills and roles. Our findings provide actionable recommendations for workforce development, including designing targeted skill-building programs, implementing ethical guidelines, and fostering empowering organizational environments. We address the psychological and procedural challenges of integrating GenAI into workplaces and propose strategies to align workforce transformation with policy objectives. By bridging theoretical insights with practical recommendations, this study provides managers with a structured roadmap for cultivating an ambidextrous and resilient workforce in the era of GenAI.

• Language: English
• Keywords: management, job, artificial intelligence, generative artificial intelligence, individual ambidexterity, work typology, future of work, AI-driven workforce, GenAI, IA
• Work type: Article
• Typology: 1.01 - Original Scientific Article
• Organization: EF - School of Economics and Business
• Publication status: Published
• Publication version: Version of Record
• Year: 2026
• Number of pages: Str. 477-492
• Numbering: Vol. 69, iss. 4
• PID: 20.500.12556/RUL-177789
• UDC: 005.3
• ISSN on article: 0007-6813
• DOI: 10.1016/j.bushor.2025.06.006
• COBISS.SI-ID: 240921859
• Publication date in RUL: 07.01.2026

Record is a part of a journal

• Title: Business horizons
• Shortened title: Bus. horiz.
• Publisher: Elsevier, Indiana University, Kelley School of Business
• ISSN: 0007-6813
• COBISS.SI-ID: 25173760

Licences

• License: CC BY 4.0, Creative Commons Attribution 4.0 International
• Link: http://creativecommons.org/licenses/by/4.0/
• Description: This is the standard Creative Commons license that gives others maximum freedom to do what they want with the work as long as they credit the author.

Secondary language

• Language: Slovenian
• Keywords: delovno mesto, vodenje, umetna inteligenca