NGMN has published a report on the use of Agentic AI in autonomous mobile networks, stating that wider industry alignment is needed for large-scale deployment. The publication, titled Network Automation and Autonomy Phase III: Agentic AI for Autonomous Mobile Networks, examines motivations, opportunities, requirements and ecosystem developments, and sets out a reference framework for AI-driven automation while reviewing the maturity of standards and open-source work. The alliance said Agentic AI is likely to play an important role in creating a path towards trusted Level 4 autonomous mobile networks, but argued that commercial adoption will depend less on individual AI models and more on support systems, governance, operational controls and coordination across the telecoms ecosystem. Necessary areas for operators include governance, trust, policy adherence, observability, explainability, operational safety, determinism, assurance, security and cost control. The report warned of fragmentation if operators, vendors, standards bodies, hyperscalers and open-source groups do not align on architectures, interfaces and responsibilities. NGMN is a mobile industry alliance whose members include operators, vendors and academic participants, guiding development in areas including 5G, 6G and network disaggregation. The report comes as telecoms groups explore automation beyond analytics and closed-loop optimisation, where software agents would reason, plan and carry out actions across operational domains, raising questions about oversight and operational risk. Operators will need controls for human intervention and mechanisms to validate agent behaviour in live environments. Laurent Leboucher, Chairman of the NGMN