e& UAE and TM Forum released a detailed white paper on 22 June 2026 outlining a practical roadmap for advancing telecom networks to Autonomous Networks Level 4 by 2030. The announcement, made at DTW Ignite 2026 in Copenhagen, gives operations teams a concrete blueprint for moving from manual, reactive network management to AI-native, self-optimizing systems.
The blueprint's operational core
The white paper, titled "The Path to Full Autonomy: e& UAE's Strategic Blueprint for Network Transformation in the AI Era," structures its approach around what e& UAE calls its Autonomous Network "DNA." This framework rests on five pillars: cross-domain intelligence, AI-native and vendor-agnostic operations, agentic and open-source enablement, end-to-end closed-loop automation, and customer-centric AI. The roadmap aligns with TM Forum's Autonomous Networks architecture, high-value scenarios, and effectiveness measurement framework.
For operations professionals, the blueprint targets four business outcomes directly tied to daily work: improving O&M efficiency, enhancing customer experience, reducing energy consumption, and accelerating service delivery. The strategy builds toward Level 4 autonomy by 2030, where networks self-optimize and self-heal with minimal human intervention, while laying groundwork for Level 5 self-evolving networks beyond that date.
Marwan Bin Shakar, Chief Technology Officer at e& UAE, said: "The future of telecoms will be defined by networks that can think, learn, and act autonomously. At e& UAE, we see Autonomous Networks as a strategic enabler of the AI era, transforming networks from operational infrastructure into intelligent digital platforms."
From pilots to measurable value
The paper arrives as operators face rising network complexity, multi-vendor integration challenges, and growing energy pressures. It details the role of AI agents, digital twins, data platforms, intent-driven orchestration, and open APIs in enabling scalable autonomy across RAN, Core, Transport, IP, and Fixed domains. Human governance and policy controls remain central to the architecture, ensuring autonomy does not mean removing operational oversight.
George Glass, Chief Technology Officer at TM Forum, said: "Autonomous Networks are central to the future of the AI-native telco. The industry now needs to move from pilots to measurable value, using common architecture, open APIs, high-value scenarios and standard assessment frameworks. e& UAE's blueprint is a strong example of how an operator can connect business outcomes with technical capability, governance and real operational implementation."
The full white paper is available on e& UAE's website, sharing architecture decisions, implementation approaches, and lessons learned to support broader industry adoption of autonomous operations.
Why this matters for operations teams
This blueprint translates the often-abstract concept of AI for Operations into a phased, measurable plan. For telecom operations managers, the shift to closed-loop automation and intent-driven orchestration will reshape workflows, skill requirements, and performance metrics. The paper's emphasis on vendor-agnostic, open-source enablement also signals where procurement and integration strategies are heading. Operations leaders who map their current capabilities against the Level 4 autonomy targets outlined here can identify gaps in tooling, data readiness, and team training before those gaps become blockers. Those building internal expertise can explore an AI Learning Path for Operations Managers to align team skills with the automation and AI-native operations described in the roadmap.
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