20.500.12556/RUL-177789 AI meets IA a typology of GenAI-supported work through individual ambidexterity 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. management job artificial intelligence generative artificial intelligence individual ambidexterity work typology future of work AI-driven workforce GenAI IA delovno mesto vodenje umetna inteligenca true false true Angleški jezik Slovenski jezik Članek v reviji 2026-01-07 13:44:18 2026-01-07 13:46:46 2026-09-15 04:27:30 0000-00-00 00:00:00 2026 0 0 Str. 477-492 iss. 4 Vol. 69 2026 0000-00-00 Zaloznikova Objavljeno NiDoloceno 0000-00-00 0000-00-00 0000-00-00 005.3 0007-6813 10.1016/j.bushor.2025.06.006 240921859 1-s2.0-S0007681325001090-main.pdf 1-s2.0-S0007681325001090-main.pdf 1 90CC2E6F4B5C74A5226187D5BFD39B31 f9ab1b997515d2b8828621481c327f411d825a56a9b89a72b720a69f8be25a4f 869a3405-b03e-11f1-8bc5-0050569b8976 https://repozitorij.uni-lj.si/Dokument.php?lang=slv&id=247576 https://www.sciencedirect.com/science/article/pii/S0007681325001090 0 ce11b66a-ebc6-11f0-bf92-0050569b8976 https://repozitorij.uni-lj.si/Dokument.php?lang=slv&id=225108 Ekonomska fakulteta 0 0 0