Enterprise AI is compressing the distance between intent and execution. The Great Compression explains what that shift means for strategy, organizational design, decision rights, and measurable value.
As AI capabilities move rapidly into everyday enterprise work, the central challenge is no longer simply whether organizations can adopt new tools. It is whether they can redesign work, governance, and operating models so that AI produces durable, measurable value without weakening accountability.
This book moves beyond tool adoption to show leaders how AI capability changes the shape of work, why traditional layers and handoffs come under pressure, and how enterprises can respond without surrendering governance.
It introduces a practical enterprise architecture for AI value creation, including AI Value Cells, the Center-Edge-Institution model, evidence and economics, agent authority, operating rhythm, and the mechanisms required to move from isolated pilots to scalable organizational capability.
Written for executives, technology leaders, transformation teams, product owners, and practitioners responsible for enterprise AI adoption, The Great Compression provides a clear framework for understanding what is changing, what must remain governed, and how organizations can convert rapidly improving AI capability into sustained enterprise value.