Enterprise networks were never designed for AI. For decades, networks functioned as “dumb pipes”: static infrastructure that moved data from point A to point B. They were slow to provision, difficult to adapt and largely invisible until something went wrong. That model is now breaking down. To support AI workloads at scale, the network can no longer be a passive transport layer. It must become part of the execution fabric itself. AI-driven environments constantly optimize for lower latency, cost-efficiency, data locality, security and more. These decisions are increasingly made by autonomous systems, with no direct human intervention. To support these autonomous systems, networks…

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