Why Agentic AI Alone Won't Deliver Autonomous Networks
Artificial Intelligence has become the defining technology of modern telecommunications. Nearly every operator is investing in AI-powered operations. Vendors are introducing generative AI assistants, autonomous troubleshooting tools, predictive analytics platforms, and intelligent copilots designed to transform Network Operations Centers (NOCs). Conference agendas are dominated by discussions of Agentic AI, Large Language Models (LLMs), Digital Twins, and autonomous networking. On paper, the industry appears closer than ever to self-operating networks. Yet, inside most operators, the reality looks remarkably familiar. Network engineers still investigate alarms manually. Root cause analysis still requires information from multiple OSS systems. Configuration changes continue to move through lengthy approval processes before remediation begins. Major incidents still depend on experienced engineers piecing together information from dozens of disconnected operational tools. Des...