Agentic AI network slicing launches in 5G Advanced with Nokia and AWS
Real time AI agents adjust 5G capacity based on traffic, events and enterprise service targets.
Nokia and Amazon Web Services have introduced what they describe as the first agentic AI-powered network slicing solution operating in commercial 5G-Advanced networks. Early pilot projects with du and Orange are already underway, marking the transition from laboratory testing to commercial deployment.
For an extended period, network slicing has been presented as a way to tailor connectivity to the needs of enterprises and end users, yet static configurations have until now limited its commercial impact. A more autonomous approach is now being tested, designed to convert operational intent directly into concrete network actions.
The joint system combines Nokia’s network slicing portfolio with AI services delivered via the Amazon Web Services (AWS) Bedrock platform. Software agents analyse real-time data, including traffic levels, location information, and significant events, and automatically adjust radio access network policies. However, this enables capacity to be prioritised in response to congestion, emergencies, or large gatherings.
Enterprise use is central to the deployment. Campuses, factories, and urban areas can receive connectivity aligned with predefined service level targets (SLAs), while public safety teams can activate dedicated network slices during critical incidents. Premium consumer services, such as gaming and streaming, may also benefit from more stable performance during peak demand periods.
The solution spans the radio, transport, and core networks and will be showcased at the Mobile World Congress 2026. Commercial success will depend on whether intent-based slicing can transform what has long been a promised feature into a sustainable and scalable revenue source for operators.
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