e& UAE and TM Forum have released a strategic blueprint for the autonomous networks transformation, outlining how telecom operators can move toward AI-native, intent-driven and closed-loop operations while maintaining human governance, safety controls and measurable trust at scale.
The white paper, titled “The Path to Full Autonomy: e& UAE’s Strategic Blueprint for Network Transformation in the AI Era,” was announced on the sidelines of DTW Ignite 2026 in Copenhagen. It sets out e& UAE’s roadmap for advancing telecom networks toward high-level Autonomous Networks, while contributing practical implementation lessons to the wider global connectivity ecosystem.
The initiative comes as telecom operators face rising network complexity, increasing customer expectations, multi-vendor integration challenges and growing energy pressures.
For e& UAE, autonomous networks are positioned not simply as a technical upgrade, but as a strategic transformation path that can turn networks from operational infrastructure into intelligent digital platforms.
A Roadmap Toward Level 4 Autonomy
At the centre of the blueprint is e& UAE’s autonomous networks “DNA,” built around five core 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 paper aligns e& UAE’s implementation roadmap with TM Forum’s Autonomous Networks architecture, high-value scenarios and effectiveness measurement framework. It focuses on four key business outcomes: improving operations and maintenance efficiency, enhancing customer experience, reducing energy consumption and accelerating service delivery
e& UAE’s strategy targets progressive evolution toward Level 4 Autonomous Networks by 2030, while laying the foundation for Level 5 self-evolving networks beyond 2030. The white paper also details the role of AI agents, digital twins, data platforms, intent-driven orchestration and open APIs in scaling autonomy across RAN, Core, Transport, IP and Fixed domains.
“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. Our roadmap combines AI-native operations, agentic intelligence, and closed-loop automation to create networks that are more resilient, efficient, and customer-centric.
By working closely with TM Forum, we are helping bridge industry vision and real-world implementation, accelerating the path toward Level 4 and Level 5 autonomy while supporting broader ambitions around sovereign AI, digital transformation, and next-generation connectivity,” said Chief Technology Officer, e& UAE Marwan Bin Shakar.
Trust, Assurance and Regulatory Pressure
The blueprint lands at a time when the telecom industry is under growing pressure to prove that autonomous and AI-driven systems can operate safely in live environments.
According to TM Forum, operators increasingly need externally reviewable technical evidence to demonstrate AI trustworthiness, particularly as new regulations approach.
TM Forum CEO Nik Willetts used his DTW Ignite 2026 keynote to identify trustworthiness as the leading driver of telco brand value globally, ahead of both coverage and price. A TM Forum Insights and IBM Institute for Business Value report found that while 72 percent of surveyed operator decision-makers expressed confidence in their AI trustworthiness, only 14 percent could produce externally reviewable evidence to verify that safety.
This raises the importance of embedding assurance directly into autonomous network architectures. Periodic audits and governance committees are no longer enough when AI systems are processing thousands of network variables per second.
Operators will need continuous telemetry, cryptographic decision logs and parallel verification pipelines capable of proving that AI agents follow defined safety policies in production environments.
The EU AI Act will require high-risk AI systems to meet audit and governance standards from August 2026, while proposed sovereignty rules are expected to increase assurance requirements for public sector procurement.
Through the initiative, e& UAE aims to share its architecture, roadmap, implementation approach and lessons learned with the industry, supporting TM Forum’s efforts to accelerate autonomous networks operations across the global connectivity ecosystem.
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