Artificial intelligence is changing organizations in ways that go far beyond technical innovation. It influences how knowledge is produced, how decisions are supported, how institutional memory is preserved, and how employees prepare for the future of work. These changes bring new opportunities, but they also require careful attention to governance, trust, learning, and human capability.
Artificial Intelligence and Organizational Transformation: Governance, Adoption, and Future Workforce Skills examines these issues through both conceptual discussion and empirical evidence. The book explores organizational learning and unlearning in the age of generative AI, the role of institutional memory in organizational resilience, the relationship between human capital and AI adoption, and the effects of data governance and cost on the adoption of AI-based decision support systems.
Rather than treating artificial intelligence as a simple matter of automation, the book considers how AI becomes part of everyday organizational practice. It shows that successful adoption depends not only on access to technology, but also on the ability to question outputs, protect reliable knowledge, develop workforce skills, design responsible data arrangements, and build institutions that can adapt without losing their judgment.
This book is intended for academics, researchers, managers, policy makers, and professionals who seek to understand how artificial intelligence is reshaping organizations and what kinds of capabilities will be needed in the years ahead. It offers a grounded perspective on AI as both a technological and organizational challenge, reminding readers that the future of work will be shaped not only by what machines can generate, but also by how wisely institutions choose to learn, govern, and act.