With the advancement of technology, many companies have decided to integrate AI with workforce development. As AI progresses, companies are adopting these technologies to help progress human engagement and enhance performance with many industries. By examining practical examples and diverse organizational contexts, the use of these technologies highlights both the opportunities and challenges of leveraging AI to build agile, data-informed, and future-ready workforces in an evolving digital economy. Cases on AI-Driven Talent Economy and Human Capital explores the intersection between AI-driven innovations and how these technologies reshape workforce development. This book highlights the strategies, challenges, and successes of organizations, governments, and startups leveraging AI to optimize talent management, workforce productivity, and job creation. Covering topics such as AI, human capital, and economics, this book is an excellent resource for business leaders, HR professionals, educators, policymakers, entrepreneurs, investors, researchers, academicians, and more.
Edited by:
Sharif Rana Imprint: Business Science Reference Country of Publication: United States Dimensions:
Height: 254mm,
Width: 178mm,
ISBN:9798337338682 Pages: 488 Publication Date:12 March 2026 Audience:
College/higher education
,
Professional and scholarly
,
Primary
,
Undergraduate
Format:Paperback Publisher's Status: Active