Overview

This book aims to redefine how organizations view talent, skills, and workforce readiness in the 21st century. The rapid acceleration of artificial intelligence, machine learning, and digital transformation is reshaping the global workforce at an unprecedented pace. As businesses grapple with the profound impact of these changes, the need for a comprehensive framework to navigate this transformation is critical. The Human Capital Supply Chain in the Age of AI offers a groundbreaking approach to workforce strategy, integrating insights from data science, economic theory, sociology/psychology, and human capital management to create practical ideas for leaders, educators, and policymakers in the 21st century. This book focuses on strategic orchestration of people across roles, locations, and skill levels as flexible supply chain actors, enabled through AI-driven workforce forecasting, intelligent learning pathways, and real-time deployment models. Where The Magic Conveyor Belt examines human-machine collaboration in logistics, my narrative shifts the spotlight to human capital as integral pipeline - managing assets, quantifying and integrating them into supply chain operations to drive resilience and innovation. It explores how data-driven decision-making, digital credentials, and AI-driven skills assessment can bridge the gap between education and employment, creating a resilient, adaptable workforce prepared for the jobs of the future. This frameworks and execution blueprint empowers organizations and leaders to transform talent strategy into a dynamic, data-driven supply chain, thereby placing human capital firmly at the center of AI‑infused operations. What You Will Learn The transformation from knowledge to learning economies The role of digital credentials and learning records Workforce strategy in an age of disruption Who This Book is For Business leaders, HR professionals, educators, policymakers, and technology experts seeking a practical guide to workforce strategy and talent management in the digital age.

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Dr. Gary W. Griffin is an accomplished author and thought leader with over 30 years of experience pioneering enterprise solutions in both public and private sectors . He is best known for Building a Data Culture: The Usage and Flow Data Culture Model (Apress, 2023), which introduces the groundbreaking Usage and Flow Data Culture Model, a framework highly praised in industry, academia, and professional development programs. Gary Griffin’s expertise spans data governance, data science, human capital, and organizational strategy. In Building a Data Culture, he blends theoretical insight with real-world application, helping leaders build data-driven environments via clear frameworks, data governance best practices, and cultural transformation strategies . This work is widely adopted by corporations, universities, and executive education programs, positioning Dr. Griffin as a respected educator and practitioner in the field. He is a sought-after advisor for enterprises navigating the complexities of the digital economy, guiding organizations in leveraging AI, advanced analytics, and responsible data use. Dr. Griffin has led the invention of tools like Datalink 1000 for master data management and has shaped data strategy for web-based K–12 assessment systems. With MS and PhD degrees in Sociology, Dr. Griffin marries rigorous academic training with hands-on experience. His voice combines strategic vision with practical execution, enabling organizations to treat human capital as a dynamic, AI-integrated supply chain. In Human Capital Supply Chain in the Age of AI, Dr. Griffin extends his data-culture expertise into the realm of workforce orchestration by framing people as adaptable assets within an AI-augmented supply chain ecosystem. The result is a natural progression from his past work: a thought-provoking, actionable guide empowering leaders to build resilient, human-centered operations for the digital age.

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