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Artificial intelligence coaching for leader development and supervision

Author

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  • Olivier Malafronte

    (GRM - Groupe de Recherche en Management - EA 4711 - UNS - Université Nice Sophia Antipolis (1965 - 2019) - UniCA - Université Côte d'Azur)

Abstract

This chapter explores Artificial Intelligence Coaching (AIC) as a tool for training and supervising leaders within organizations. Drawing on empirical research comparing human-based and AI-based coaching conversations, and studies investigating leaders' schema changes in AIC conversations, the chapter synthesizes findings related to reflectivity, schema regulation, and competencies augmentation. It proposes a framework illustrating how AIC facilitates reflective practice, leading to cognitive and affective schema changes, thereby augmenting essential leadership competencies and enabling leaders to self-supervise in the flow of work. The chapter discusses theoretical and practical implications, highlighting opportunities for scaling development initiatives while considering current limitations and outlining a future research agenda.

Suggested Citation

  • Olivier Malafronte, 2026. "Artificial intelligence coaching for leader development and supervision," Post-Print hal-05448800, HAL.
    • Handle: RePEc:hal:journl:hal-05448800
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