Generative AI as the Second Mind: Rewriting the Rules of Business and Organization

This book focuses on redefining organizational strategy and management in the era of Generative AI (GenAI). It challenges the foundational assumptions of the Industrial Revolution, arguing that GenAI dissolves the boundaries between labor, materials, and production by introducing a "Second Mind" — a non human entity with human level capabilities and infinite memory. Positioned as workforce, tool, and raw material simultaneously, this paradigm compels leaders to rethink management principles that have guided enterprises for two centuries.

The text provides both corporate and academic communities with a rigorous cognitive framework and a strategic roadmap for navigating the transition from legacy hierarchies to symbiotic intelligence. It distinguishes the logic of Classical AI from Generative AI, mapping how each reshapes organizational structures, employee roles, and decision making authority. Central to this framework is the concept of Symbiotic Agency Modes (SAM) — a hierarchy of Coordination, Cooperation, and Collaboration — which specifies how human and digital minds operate as a coupled system.

Moving beyond vague "human in the loop" notions, the book introduces actionable governance mechanisms and tailored performance indicators, such as learning rate and reversibility, to evaluate hybrid workforces. By offering a systematic roadmap for implementation, it ensures measurable ROI and sustainable competitive advantage.

Serving as an "Origin of Species" for 21st century organizational evolution, this book equips leaders, strategists, and institutions to harness symbiotic intelligence and lead the next era of business transformation.

Dr Amy Wenxuan Ding is a Full Professor of Artificial Intelligence and Business Analytics, a member of both Academic Senate and Scientific Committee at Emlyon Business School, France. She is also an AI expert at the French National Research Agency and the European Science Foundation, and a member of the IEEE Standard Committee on Wellbeing Metrics Standard for Ethic AI and Autonomous Systems (USA). She holds a PhD in Cognitive Science and Information Technology from Carnegie Mellon University (USA). Her doctorial advisor was Professor Herbet Simon, a Nobel Laureate in Economic Science and an Alan Turing Award Winner in Computer Science. Her research focuses on cutting-edge fundamental AI theories with interdisciplinary AI applications in business and science (e.g., AI scientists, innovation, digital marketing, smart healthcare, and decision-making with risks). Her research has appeared in top-tier academic journals (e.g., Nature, California Management Review, Information Systems Research, Journal of Business Venturing, Journal of the Academy of Marketing Science, International Journal of Research in Marketing) and premier computer science conference proceedings.