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

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

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. Through a thorough review of the literature and empirical examples, we identify four GenAI-enabled work types: Design and Innovation, Data Analysis and Insight Evocation, Customer Service and Engagement, and Content Generation and Optimization. These types reflect the interplay of two critical IA tensions – specialization (generalist vs. specialist) and task routinization (routine vs. non-routine), 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. Additionally, 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 offers managers a structured roadmap for fostering an ambidextrous and resilient workforce in the age of GenAI.

• Jezik: Angleški jezik
• Ključne besede: management, job, artificial intelligence, generative artificial intelligence, individual ambidexterity, work typology, future of work, AI-driven workforce
• Vrsta gradiva: Članek v reviji
• Tipologija: 1.01 - Izvirni znanstveni članek
• Organizacija: EF - Ekonomska fakulteta
• Status publikacije: V tisku
• Različica publikacije: Objavljena publikacija
• Leto izida: 2025
• PID: 20.500.12556/RUL-177789
• UDK: 005.3
• ISSN pri članku: 0007-6813
• DOI: 10.1016/j.bushor.2025.06.006
• COBISS.SI-ID: 240921859
• Datum objave v RUL: 07.01.2026

Gradivo je del revije

• Naslov: Business horizons
• Skrajšan naslov: Bus. horiz.
• Založnik: Elsevier
• ISSN: 0007-6813
• COBISS.SI-ID: 25173760

Licence

• Licenca: CC BY 4.0, Creative Commons Priznanje avtorstva 4.0 Mednarodna
• Povezava: http://creativecommons.org/licenses/by/4.0/deed.sl
• Opis: To je standardna licenca Creative Commons, ki daje uporabnikom največ možnosti za nadaljnjo uporabo dela, pri čemer morajo navesti avtorja.

Sekundarni jezik

• Jezik: Slovenski jezik
• Ključne besede: delovno mesto, vodenje, umetna inteligenca