Enterprise AI has moved past experimentation and into production, and the cost structure has fundamentally changed. Tokens are now the primary unit of AI value, and the network sits at the center of every decision around how many are produced, how fast, and at what cost. As inference workloads come to dominate AI spending, network efficiency directly determines tokens per dollar at scale. In this session, I will explore how organizations that architect for agentic workloads, disaggregated inference, and open fabric infrastructures today will be best positioned to compete in the AI economy of tomorrow.
