No One Works Here : How AI-Driven Enterprises Are Dramatically Redefining Business, Leadership, and Competition

USA TODAY BESTSELLER The first signs of corporate collapse rarely appear in balance sheets. They appear in latency. They appear in hiring delays, in meetings that solve nothing, and in the weeks it takes to make a decision that a machine could have made in seconds. For the last century, business moved at the speed of human cognition. We gathered data, deliberated, and executed. That cycle took quarters. Today, AI has compressed that cycle to hours. Historically, organizational design has always accounted for latency, but only within the constraints of a human-centric hierarchy. Today, the fundamental unit of the enterprise has changed. An organization is no longer just a collection of people; it is a complex network of nodes, some human, some autonomous AI agents. To build for this reality, traditional management theory must be re-evaluated. We must now look to system architecture and human-computer interaction, hardwiring their rigorous principles of latency and data flow directly into organizational design. In No One Works Here, Paul Cheek, MIT Senior Lecturer, software engineer, and entrepreneur, delivers a provocative and urgent roadmap for the post-human organization. He argues that we are witnessing a fundamental shift in the physics of business: moving from an era where humans do the work to an era where humans design the intent. This book redefines how we think about the structure of work, the meaning of enterprise, and the future of capitalism itself. Similarly, it presents how incumbent organizations and economies have a new threat presented in the opportunity for underdog companies and economies to leapfrog them. It is both a visionary manifesto and a practical playbook for the AI era...one that reframes not only how we build organizations, but how we define them. This is not a book about mass unemployment. It is a manual for the greatest organizational design pivot since the Industrial Revolution. Inside, you will discover: The Latency Trap: Why the most