AI-centric organizations exhibit a new operating architecture, redefining how they create, capture, share, and deliver value.
Reinventing the firm around data, analytics, and AI removes traditional constraints on scale, scope, and learning that have restricted business growth for hundreds of years.
From Airbnb to Ant Financial, Microsoft to Amazon, research shows how AI-driven processes are vastly more scalable than traditional processes, allow massive scope increase, enabling companies to straddle industry boundaries, and create powerful opportunities for learning–to drive ever more accurate, complex, and sophisticated predictions.
When traditional operating constraints are removed, strategy becomes a whole new game.
Present a framework for rethinking business and operating models
Explain how “collisions” between AI-driven/digital and traditional/analog firms are reshaping competition, altering the structure of our economy, and forcing traditional companies to rearchitect their operating models
Explain the opportunities and risks created by digital firms
Describe the new challenges and responsibilities for the leaders of both digital and traditional firms