Telecoms shift to trusted, outcome-led network automation

Telecommunications providers are shifting their approach to autonomous networks, placing less emphasis on a distant "Level 5" ideal and more on automation that delivers measurable operational outcomes by 2026.

Industry executives describe a transition from broad, all-encompassing autonomy targets towards specific goals such as reducing outages, cutting manual interventions, improving service level agreement performance and lowering energy use across live networks.

The change reflects growing pressure on operators as networks support critical services in healthcare, utilities, defence and emergency response. In these environments, tolerance for disruption is low and regulators, customers and governments expect high levels of reliability and transparency.

Fernando Rionegro, Vice President Cloud and Network Services, Europe at Nokia, said that trust now sits at the centre of automation strategies.

"Automation that cannot be understood, justified, or trusted will struggle to gain acceptance, regardless of its technical sophistication," said Fernando Rionegro, Vice President Cloud and Network Services, Europe, Nokia.

Vendors and operators are applying artificial intelligence more widely across networks. They are using AI systems to correlate performance signals, detect anomalies and generate alerts that operations teams can act on. They are also placing greater emphasis on explainability so that engineers can trace why systems reach particular decisions.

Rionegro said the most advanced networks in the next cycle would differentiate on the focus of their automation, not just the volume of tasks they automate.

"By 2026, the most advanced networks will not be those that automate everything indiscriminately, but those that automate what matters most, to customers, to business performance, and to the wider telecommunications ecosystem," said Rionegro.

Intelligence shift

Network architectures are evolving from rule-based management towards systems that can interpret context and intent. Operators are investing in software that senses real-time conditions at multiple layers of the network. Systems then interpret those signals and initiate actions based on policies and priorities.

This approach marks a shift away from static scripts and playbooks. It rests on real-time data, adaptive algorithms and continuous feedback from operations teams. The objective is to create networks that respond to changing demand patterns, emerging faults and security threats with greater precision.

Industry roadmaps describe networks that can anticipate congestion, trigger preventative maintenance and reconfigure resources before customers experience any impact. Providers are also looking at how they can explain these automated decisions in clear terms to internal teams, partners and regulators.

Expert-in-the-loop

Despite increased automation, operators are assigning a stronger role to human expertise. Many strategies now adopt an expert-in-the-loop model. Engineers validate and refine automated actions. They also feed operational knowledge back into the systems that recommend those actions.

Companies are using tools such as knowledge graphs, which organise relationships between network elements, events and interventions in structured form. They are also building digital twins that mirror the state of physical networks in software. These tools capture not only what engineers do in response to events but also why they make those choices.

Network teams then apply this knowledge to shift from reactive troubleshooting towards more predictive and proactive operations. The approach attempts to scale the judgement of experienced engineers across large, complex infrastructures, where manual observation alone is no longer sufficient.

Critical infrastructure

The sector-wide discussion is taking place as telecom networks underpin a rising number of mission-critical services. Hospitals, utilities, transport systems and public safety agencies now rely on highly available connectivity. Outages can disrupt essential services and trigger financial and reputational penalties for operators.

In this context, automation supports assurance and resilience. Systems that spot early warning signals of failure can trigger rerouting or resource adjustments before services degrade. Networks that adapt in real time under stress are better positioned to maintain connectivity during peaks, disasters or cyber incidents.

Operators are therefore aligning automation metrics with resilience outcomes. These include fewer major incidents, shorter mean time to repair and more consistent service delivery across regions and access technologies.

Open ecosystems

Collaboration is emerging as a central feature of autonomous network roadmaps. Telecom providers, equipment vendors and cloud companies increasingly accept that no single organisation can deliver fully autonomous operations across all domains.

Industry groups and commercial alliances are working on shared ontologies that define common terms and structures for network data. They are also promoting interoperable application programming interfaces so that software components from different suppliers can exchange information and coordinate actions.

Vendors and operators are jointly developing AI models that sit on top of this common data layer. These models analyse patterns that span access, transport and core networks, and in some cases across multiple operators. The open approach seeks to increase transparency and accountability for automated decisions.

The direction of travel suggests a set of priorities for telecom players over the next two years. Providers are focusing on clear operational outcomes. They are embedding domain expertise and explainability into AI-based systems. They are formalising human knowledge in digital representations of the network and building automation strategies around trust, resilience and partnerships.

Rionegro said these trends would shape which networks stand out by 2026. "The most advanced networks will automate what matters most to customers, to business performance, and to the wider ecosystem, offering a more credible, resilient, and trustworthy path forward," said Rionegro.