Leadership development in the age of AI: integrating human foundations with hybrid intelligence
Purpose A framework for integrating human foundations with AI-enabled leadership development, positioning AI as an amplifier rather than a substitute. Design/methodology/approach Drawing on 84 peer-reviewed studies (Sacavém et al., forthcoming), this viewpoint prioritizes research: (a) focused on leadership development; (b) engaging with AI or digital coaching; and (c) drawing on cross-national samples. Findings Emotional intelligence, cultural intelligence, and systems thinking are irreducible human foundations; EI and cultural intelligence are developmentally interdependent: EI provides the substrate upon which cultural adaptability operates. AI accelerates development yet risks bias and deskilling. A four-level Hybrid Leadership Development Model is proposed. Research limitations/implications The model is conceptual and untested. Cross-cultural studies drawing on the World Values Survey are needed to test developmental sequencing across cultural contexts. Practical implications Organizations should audit human foundations before deploying AI, apply dual criteria for EI and human-AI collaboration, and measure skill, relational, and ethical outcomes. Social implications Leaders who integrate human judgement with AI fluency make fairer decisions across cultural contexts, creating humane and equitable organizations. Originality/value The first four-level hybrid leadership development framework, introducing Integration Skills as a distinct layer and Cultural Intelligence as a foundational construct alongside EI.
Authors
- Raju Dhar (ORCID: https://orcid.org/0009-0007-2150-2156)
- Sweta Banerjee
Institutions
- International Institute of Information Technology (IN)
- Sri Balaji Vidyapeeth University (IN)
Publication Details
- Journal
- Development in Learning Organizations An International Journal
- Published
- 2026-07-22
- DOI
- https://doi.org/10.1108/dlo-04-2026-0198
- Primary Topic
- Educational Leadership and Innovation
- Type
- article
- Field-Weighted Citation Impact
- 0.00