AI-Enhanced Training, Education, & Development: Exploration and Insights Into Generative AI's Role in Leadership Learning

Abstract

The current article examines artificial intelligence's (AI) role in leadership training, education, and development across higher education and industry contexts. We analyze current implementations and explore how AI technologies reshape leadership preparation while investigating the essential balance between task-oriented and relationship-oriented approaches. Our analysis reveals that successful AI integration depends on human-in-the-loop processes, pedagogical design that preserves relationship-building, and comprehensive AI literacy development. The study introduces the concept of ‘taxonomical leapfrogging’ and demonstrates how AI can enhance traditional leadership development through sophisticated content sequencing, personalized learning pathways, and intelligent feedback systems. We provide a practical framework for implementing AI tools while identifying key challenges, including quality assurance at scale and ethical considerations. Our findings suggest that effective leadership development requires integrated approaches that leverage AI's capabilities while preserving essential human elements, with specific recommendations for both academic programs and industry initiatives.