Generative Artificial Intelligence in Professional Development: An Integrative Review of Its Influence on Coaching, Mentoring, and Advising Across Industries

Abstract

Generative artificial intelligence (AI) is rapidly changing how professionals receive support for learning, growth, and performance. This integrative systematic literature review examines how generative AI influences coaching, mentoring, advising, and related developmental roles across industries. Drawing on recent peer-reviewed research, the review identifies current uses of generative AI, its benefits, and the challenges that accompany its adoption. The analysis also clarifies key differences and similarities among coaching, mentoring, and advising to explain how AI interacts with each role. Findings show that generative AI can expand access to guidance, personalize feedback, reduce routine workload, strengthen reflection, and support self-regulated learning. At the same time, risks such as over-reliance, reduced human connection, ethical concerns, privacy issues, and limited ability to navigate complex interpersonal situations remain significant. Based on these themes, the paper proposes an original framework describing how human support and generative AI can work together in future professional development models. Recommendations for practice and future research are also provided.