Nokia has joined forces with Amazon Web Services (AWS) to introduce what they describe as the industry’s first agentic AI-powered 5G-Advanced network slicing solution in a live 5G environment. By combining Nokia’s advanced slicing capabilities with AWS AI technologies, the collaboration enables telecom providers to deliver premium, intent-based services precisely when and where customers need them. Notably, du and Orange are the first operators exploring this innovation within their networks.
Transforming Network Slicing with Agentic AI
Traditionally, network slicing has promised new monetization opportunities for operators. However, manual configurations and static policies have often limited its real-world potential. To address this challenge, Nokia and AWS have integrated agentic AI into 5G slicing, making it adaptive, autonomous, and context-aware.
The new solution leverages AWS AI technologies, including Amazon Bedrock, to analyze real-world internet data such as traffic patterns, scheduled events, weather conditions, maps, and incidents. Consequently, telecom providers can dynamically adjust network resources in response to real-time conditions. This intelligent automation ensures optimal performance during traffic surges, emergencies, and high-demand events.
Pallavi Mahajan, Chief Technology and AI Officer at Nokia, highlighted the milestone:
“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. 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.”
Unlocking New Use Cases Across Industries
The agentic AI-powered slicing innovation supports multiple high-value applications. For instance, intent-based enterprise slicing continuously measures network KPIs such as bitrate and latency, automatically adjusting RAN policies to meet strict service-level agreements. This capability enhances mission-critical services in manufacturing, IoT deployments, smart cities, hospitals, transportation, and energy sectors.
Additionally, on-demand slicing strengthens connectivity for public safety authorities during emergencies. When triggered by external data sources, the system boosts network performance at selected 5G base stations. At the same time, it preserves quality of service for premium 5G+ and FWA users engaging in gaming, streaming, XR, or AI applications during traffic spikes or environmental disruptions.
Moreover, during concerts, sporting events, or large conferences, agentic AI increases capacity and optimizes slicing policies. By analyzing historical data and live contextual inputs, the system ensures reliable connectivity for VIP guests, digital payment systems, fan engagement platforms, video broadcasting, and operational crews.
Amir Rao, Global Director, GTM & Telco Solutions at AWS, emphasized the broader impact:
“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. 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 from traffic surges to emergency situations. This transforms network slicing from a technical capability into a true business enabler, allowing operators to monetize their 5G investments through differentiated, premium services that adapt automatically to customer needs. Agentic Network Slicing is the beginning of an era that will enable telecommunications providers to enable real-time intent-based service provisioning for end customers.”
Live Network Pilots and Real-World Validation
The solution integrates Nokia’s 5G AirScale base stations, MantaRay SMO, and Agentic AI modules with Amazon Bedrock. Furthermore, operators can deploy AI agents using Amazon EKS Hybrid Nodes, enabling seamless Kubernetes management across cloud and edge environments.
Saleem Alblooshi, Chief Technology Officer at du, shared his perspective:
“We are excited to be among the first to pilot this groundbreaking solution on a live network. Agentic AI-powered slicing will allow us to deliver highly responsive, premium services to our customers, whether for critical enterprise applications or enhanced consumer experiences.”
Similarly, Atoosa Hatefi, Director of Innovation in Radio and Environment at Orange, added:
“Orange is committed to driving innovation in 5G, and this experimentation demonstrates how AI can transform network operations. With intent-based slicing, we can anticipate customer needs and deliver tailored services that meet the demands of diverse use cases, from mission-critical to immersive entertainment.”
Overall, this collaboration signals a major step toward AI-native networks, where autonomous intelligence transforms network slicing into a revenue-driving, customer-centric capability.
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