Business Management

The Transformative Power of Artificial Intelligence in Learning and Development
Editor: Aastha Tripathi, PhD

The Transformative Power of Artificial Intelligence in Learning and Development

In Production
Pub Date: Forthcoming October 2026
Hardback Price: $190 USD | £150 UK
Hard ISBN: 9781779645616
E-Book ISBN: 978-1-77964-562-3
Pages: Est. 318 pp w index
Binding Type: Hardback / ebook
Notes: 12 color and 21 b/w illustrations


Reviews
“Arrives at just the right moment. In the pages of this collection of well-researched chapters, you will discover how AI is reshaping traditional approaches by tailoring instruction to the unique needs, preferences, and learning styles of individual employees. You will explore how AI-driven tools can break down language barriers, automate tedious administrative tasks, and offer data-powered insights that inform and continuously enhance the effectiveness of L&D initiatives. This book is not a vision for a far-off future; it is a powerful reality already transforming today’s organizations around the world.”
—From the Foreword by Anna A. Tavis, PhD, Professor and Chair of the Human Capital Management Department, School of Professional Studies, New York University, New York, USA

“No one doubts that AI L&D will personalize learning, enhance accessibility, drive engagement, automate administrative tasks, and measure impact. Drawing on thought leaders who both think about and deliver on this AI L&D agenda, this book will be an invaluable guide to delivering on the promises of AI.”
—Dave Ulrich, Rensis Likert Professor, Ross School of Business, University of Michigan, Michigan, USA; Partner, The RBL Group

The field of learning and development is experiencing a paradigm shift, driven by advances in artificial intelligence. Traditional, static training methodologies are being superseded by dynamic, personalized learning experiences facilitated by AI. This new book, The Transformative Power of Artificial Intelligence in Learning and Development, provides a comprehensive framework for leveraging AI and navigating this evolving domain.

This book focuses on the potential of AI within learning and development, serving as a practical resource for both experienced practitioners and those new to this technology. This book demystifies AI, clarifying its core functionalities and addressing common misconceptions. It explores the transformative applications of AI in learning and development, specifically addressing:

Personalized Learning: Discusses how AI algorithms enable the customization of learning pathways and content based on individual needs, preferences, and learning styles, thereby optimizing engagement and knowledge retention.

Enhanced Accessibility: Looks at how AI-driven tools facilitate inclusivity by addressing language barriers and providing support for diverse learners, ensuring equitable access to educational resources.

Engagement Enhancement: Explores how AI fosters interactive and immersive learning experiences, transitioning learning from a passive to an active and stimulating process.

Administrative Automation: Highlights how AI streamlines administrative tasks such as scheduling, course curation, and enrollment management, allowing L&D professionals to focus on strategic initiatives.

Learning Measurement and Analysis: Shows how AI-powered analytics provide data-driven insights into learning effectiveness and learner behavior, enabling continuous program improvement and informed decision-making.

Extending beyond theoretical considerations, the volume offers practical guidance through real-world examples. It showcases successful AI integration within L&D across diverse industries, providing case studies, actionable insights, and practical applications. This volume will prove helpful for L&D professionals seeking to optimize training programs, business leaders aiming to empower their workforce, and individuals interested in the intersection of technology and learning.

CONTENTS:
Foreword by Anna A. Tavis

Introduction

Preface

1. Role of Artificial Intelligence in Employee Training and Development
Adil Zia

2. Organizational Learning Needs Assessment: An AI-Enabled Approach
Anjanita Das, Manas Ranjan Panda, and Raja Basu

3. The Impact of AI and Technology on the Effectiveness of Training Needs Analysis
Ritika Khurana and Sriram Iyer

4. The Nexus Between AI-Oriented Leadership and Non-Technical Employees’ AI-Driven Innovation Engagement: A Moderated-Mediation Approach
Nilesh Kumar, Renata Korsakiené, and Md Nahin Hossain

5. Revolutionizing Intercultural Training in the Age of AI
Renata Cuhlova

6. Leveraging Artificial Intelligence to Enhance the Effectiveness of HR Professional Development Programs
Ansfred Shree, Amruthaa K Anand, Aishwarya R, and Deepa R

7. Transforming Employee Development and Career Management Through Artificial Intelligence: A Comparative Study of Traditional Methods vs. AI-Driven Solutions
Mapuranga Raymond, Kufakwedeke Delsa, and Chavunduka Desderio

8. AI-Powered Learning and Development: Addressing Social Responsibility, Diversity, and Ethical Concerns
Anjanita Das, Manas Ranjan Panda, and Raja Basu

9. The Hybrid AI Human Learning Model (HAHLM): Balancing Automation and Human Intervention in Organizational Learning
Jensen John, Jane Jersha A, Jacob George Thomas, and Deepa R

10. Collaborative Intelligence: Shaping the Future of AI-Powered Learning and Development
Delsa Kufakwedeke, Raymond Mapuranga, Sharon Chisango, and Abigail Maravanyika

Index


About the Authors / Editors:
Editor: Aastha Tripathi, PhD
Assistant Professor, School of Management and Labour Studies, Tata Institute of Social Sciences, Mumbai, India

Aastha Tripathi, PhD, is an Assistant Professor at the School of Management and Labour Studies, Tata Institute of Social Sciences (TISS), Mumbai, Maharashtra, India, in the area of human resource management/organizational behavior. Before this, she worked as a postdoctoral researcher at the Indian Institute of Management, Ahmedabad (IIMA). She also worked as a senior research scientist with the Indian Institute of Technology, Delhi (IITD). She has recently been conferred with the prestigious Young Woman Researcher in Human Resource Management Award. Her areas of interest are leadership, learning agility, learning culture, employee attitudes, and behaviors. She serves as a reviewer for various A and A* category journals. She also serves as an Associate Editor for the International Journal of Knowledge Management and as an editorial advisory member for the Business Process Management Journal, Journal of Human Values, International Journal of Technology & Human Interaction, and International Journal of Organisational Analysis, to name a few. She has published in top-notch journals, such as the American Business Review, International Journal of Organisational Analysis, Journal of Public Affairs, Innovation: Organization & Management, The Hindu, The Economic Times, People Manager, Harvard Business Review, to name a few.




Follow us for the latest from Apple Academic Press:
Copyright © 2026 Apple Academic Press Inc. All Rights Reserved.