At this week’s TM Forum DTW Ignite conference in Copenhagen, industry leaders evaluated how agentic AI is transforming network operations and customer experiences in telecommunications. Key takeaways include that agentic AI enables autonomous workflows but faces significant deployment hurdles within complex network environments. Telecommunications operators prioritize risk management, often hesitating to deploy autonomous agents in mission-critical infrastructure. Data quality and technical debt remain primary obstacles preventing the widespread adoption of AI-ready systems. Innovative vendors are developing digital twins and super apps to bridge the gap with legacy systems. The industry is actively seeking a balance between leveraging generative AI and maintaining operational control. Instead of widespread adoption, the industry currently faces significant implementation challenges regarding the deployment of agentic AI. Operators view large-scale deployment of autonomous agents in mission-critical environments as a significant operational risk, and vendors are scrambling to deliver trust, but telcos are skeptical. Industry discussions frequently focus on “lights out” automation. Operators acknowledge that AI-ready data is essential for competitiveness. Next-generation OSS and BSS vendors promote AI-driven, cloud-native architectures, though many operators are constrained by technical debt. Additionally, nobody has any idea of how to deal with the “human in the loop” problems.