Agentic AI disrupts traditional networking, demanding a shift from static, hardware-centric models to agile, consumption-based architectures. As AI's non-deterministic nature challenges legacy systems, networks must evolve to support dynamic, high-speed, and secure agent-to-agent connections, ensuring sovereignty, observability, and compliance in a rapidly changing data-driven world.

The future of AI is likely to be distributed, necessitating robust network infrastructures. Traditional WANs are inadequate, but Network-as-a-Service (NaaS) offers a solution by providing flexible, secure, and efficient private networks.