Editors: Rishikaysh Kaakandikar, Keshav Kaushik, Supriya Pathak, Madhavi Shamkuwar

Upskilling for the Age of AI Automation

eBook: US $49 Special Offer (PDF + Printed Copy): US $114
Printed Copy: US $89
Library License: US $196
ISBN: 979-8-89881-262-1 (Print)
ISBN: 979-8-89881-261-4 (Online)
Year of Publication: 2026
DOI: 10.2174/97988988126141260101

Introduction

Upskilling for the Age of AI and Automation examines how rapid advances in artificial intelligence, machine learning, and automation are transforming the global workforce. It highlights the growing need for continuous learning and reskilling as traditional job roles evolve and new opportunities emerge in an AI-driven economy.

The book traces the evolution of automation from industrial systems to intelligent technologies, exploring both the opportunities and disruptions they create. It identifies key future-ready skills such as data literacy, problem-solving, creativity, and emotional intelligence, emphasising their role in complementing, rather than competing with, machines. Real-world case studies demonstrate how organisations are adopting AI while supporting workforce development through digital learning and human–machine collaboration.

It also addresses the importance of inclusive upskilling strategies to bridge the digital divide and ensure broad participation in the future economy. Overall, the book provides practical insights for adapting to technological change and building sustainable careers.


Key Features

  • - Focuses on workforce transformation in the age of AI and automation.
  • - Identification of essential future-ready skills and competencies.
  • - Real-world case studies of AI adoption and workforce development with emphasis on lifelong learning and human–machine collaboration.
  • - Discussion of inclusive strategies to address the digital divide.

Target Readership :

Policymakers, educators, researchers, and professionals in workforce development and management.

Foreword

The twenty-first century has ushered in a new era, defined by Artificial Intelligence, automation, and rapid digital transformation. As industries reshape, work evolves, and skills become obsolete faster than ever before, the need to upskill is no longer optional—it is existential. “Upskilling for the Age of AI and Automation” captures this imperative with depth, clarity, and vision.

From the opening chapter, which lays a strong foundation for continuous learning, to the later discussions on inclusivity, ethics, and generational adaptation, this book provides a panoramic view of what it takes to thrive in a world where machines learn and adapt alongside us. The early chapters map the essential skillsets for the next decade—spanning technical literacy, data fluency, creativity, emotional intelligence, and sustainability awareness—while grounding these in real-world contexts across industries.

As McKinsey & Company’s recent Future of Work reports remind us, as many as 375 million workers globally—or about 14% of the world’s workforce—may need to switch occupational categories by 2030 due to automation. Moreover, nine out of ten executives now say they face skill gaps or expect them to emerge within five years. Yet only a small fraction—less than 40% of organizations—believe they are effectively addressing this challenge. This widening skills gap underlines the urgency of initiatives that combine human adaptability with continuous technological learning—the very ethos of this book.

The middle chapters make a compelling case for balancing hard and soft skills, simplifying complex technical ideas like machine learning and cloud computing for wider audiences. They show that while data and algorithms may power tomorrow’s economy, empathy, leadership, and communication will define its human core. Later sections skill-fully weave in generational and gender perspectives, reminding readers that reskilling must be inclusive—embracing digital immigrants as well as digital natives, men and women alike.

What sets this book apart is its multidisciplinary scope. It integrates management, education, psychology, and technology into a coherent narrative on how individuals, institutions, and societies can prepare for a future shaped by AI. Each chapter combines academic rigour with practical insight—making the text equally valuable for students, educators, HR professionals, policymakers, and business leaders.

In a time when learning itself is being redefined, “Upskilling for the Age of AI and Automation” serves as both a guidebook and a call to action. It reminds us that while machines may augment our work, the uniquely human capacity to learn, adapt, and collaborate will always remain our greatest asset.

Ganesh M. Kakandikar
Department of Innovation, Startup and Collaboration
Dr. Vishwanath Karad MIT World Peace University
Pune, India