AI Network Evolution: Monetizing the Agentic AI Era

Organizations can monetize the AI moment by evolving their network architecture. This means supporting real-time telemetry, segment routing, and FlexAlgo capabilities within their existing networks. What's interesting is that while much attention focuses on AI compute resources, network connectivity is often overlooked. However, modernizing IP networks is crucial for unlocking new revenue from AI-driven services. Delaying this modernization risks competitive relevance. AI agents need networks that can adapt dynamically. They request data, trigger actions, and collaborate across distributed, multi-cloud environments around the clock. Traditional networks were not built for the agility and performance AI workloads demand. For example, the speed of AI requires real-time telemetry for operators to understand traffic patterns and support automated intervention. Without it, operators rely on outdated manual troubleshooting. Additionally, moving to modern IP architectures based on segment routing and EVPN provides precise path control. This enables dynamic traffic routing as AI agents' connectivity needs change, often within seconds. Finally, networks need FlexAlgo capabilities. This feature allows the network to calculate optimal paths for different traffic types, like optimizing for latency or bandwidth, based on workload needs. This ensures networks can meet the continuous and dynamic demands of AI.