Nokia and AWS push agentic AI network slicing into live 5G
Nokia and AWS are taking network slicing out of the lab and into live 5G networks with what they call an industry-first agentic AI-powered 5G-Advanced slicing solution. The collaboration is being showcased with early adopters du and Orange, both of which are exploring the technology in their commercial networks.
This signals how AI-native networking is moving closer to real-world deployment. It also shows how operators may finally turn network slicing into a scalable business tool rather than a static engineering feature, opening new revenue opportunities across enterprise, industrial and consumer services.
From static slicing to intent-based automation
The joint Nokia-AWS solution combines Nokia’s advanced network slicing portfolio with AWS’s AI platform technologies to enable intent-based, autonomous slicing in live networks. Instead of manually configuring slices, the system uses agentic AI to analyze real-world data such as locations, traffic conditions, events, incidents and maps, and then dynamically adapts radio access network (RAN) policies.
This approach is aimed squarely at long-standing operator pain points. Traffic spikes caused by emergencies, mass events or unexpected congestion can degrade service quality and waste resources. With agentic AI, slicing intelligence continuously adapts to changing conditions across different geographies, maintaining performance where it matters most.
“This innovation marks a major milestone in the evolution of AI-native networks. By combining Nokia’s advanced network slicing capabilities with agentic AI, we are enabling operators to deliver premium, intent-based services that adapt dynamically to real-world conditions,” said Pallavi Mahajan, Chief Technology and AI Officer, Nokia. “Nokia is advancing connectivity by unlocking new value streams for telecommunication providers and supporting next-generation applications and differentiated services for enterprises, industries and consumers.”
Use cases: enterprise, emergencies and mass events
Nokia outlines several concrete use cases. For enterprises and industries, intent-based slicing continuously measures live KPIs such as bitrate and latency and autonomously adjusts RAN policies to meet SLAs across campuses, business parks and city areas. Target applications include manufacturing, IoT, smart cities, healthcare, energy and transportation.
On-demand slicing triggered by external data can support first responders during emergencies, while preserving quality of service for premium 5G+ and fixed wireless access customers using gaming, streaming, XR and AI applications during traffic surges or severe weather. For concerts and sporting events, agentic AI can preemptively optimize capacity for VIP users, payments, broadcasting and operational teams.
“Network slicing has long promised to unlock new revenue streams for operators, but manual configuration and static policies have prevented end customers from accessing on-demand provisioning,” said Amir Rao, Global Director, GTM & Telco Solutions, AWS. “By integrating agentic AI capabilities through Amazon Bedrock with Nokia’s application, operators can now deliver intelligent, context-aware network slicing that responds dynamically to real-world conditions.”
Live pilots and MWC26 showcase
Technically, the solution spans RAN, transport and core, using Nokia’s 5G AirScale base stations, MantaRay SMO and agentic AI modules integrated with the Amazon Bedrock AI platform. AI agents draw on open internet data and operate in chatbot, on-demand, scheduled and autonomous modes.
Operators du and Orange are among the first to test the concept in live networks. “We are excited to be among the first to pilot this groundbreaking solution on a live network,” said Saleem Alblooshi, Chief Technology Officer, du. Orange echoed the sentiment, with Atoosa Hatefi, Director of Innovation in Radio and Environment, stating, “With intent-based slicing, we can anticipate customer needs and deliver tailored services that meet the demands of diverse use cases.”
Nokia will demonstrate the agentic AI-powered slicing solution live at its booth in Hall 3 at Mobile World Congress 2026.
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