Telecom operators are testing a new system that lets artificial‑intelligence agents automatically adjust 5G network resources in real time. Nokia and Amazon Web Services (AWS) announced the pilot this week, with the technology being trialled by du in the United Arab Emirates and Orange in Europe and Africa. The goal is to enable network slicing—creating multiple virtual networks on a single physical infrastructure—to respond dynamically to changing traffic demands without manual intervention.
Background
Network slicing is a core feature of 5G that allows operators to carve out dedicated virtual networks for specific use cases, such as emergency services, high‑bandwidth consumer traffic, or industrial Internet of Things deployments. Traditionally, slicing requires manual planning and static configuration, which limits the speed at which a network can adapt to sudden shifts in demand. The new pilot seeks to close that gap by introducing AI agents that continuously monitor performance indicators like latency and congestion, and factor in external data such as event schedules or weather conditions. When conditions change, the agents can reallocate resources automatically to maintain agreed service levels.
Pilot Details
According to Nokia, the solution combines its slicing and automation tools with AI models delivered through AWS’s managed AI service platform, Amazon Bedrock. The collaboration is described as “agentic AI,” a term that emphasizes the autonomous decision‑making capabilities of the agents. In the pilot, the AI monitors real‑time network metrics and, when thresholds are breached, initiates adjustments to routing, bandwidth allocation, or other configuration parameters. The system is being evaluated by du, a major telecom operator in the UAE, and Orange, which operates in multiple European and African markets.
The pilot is still in the demonstration and rollout phase. Nokia’s announcement highlighted that the work with Orange is a series of pilots rather than a full deployment. Operators are expected to maintain human oversight during the testing period to validate the system’s behavior under real‑world conditions and to ensure reliability and accountability.
Implications for the Industry
The initiative reflects a broader industry challenge: while 5G delivers higher speeds and lower latency, operators have struggled to translate these technical gains into new revenue streams. GSMA Intelligence reports that many operators view network slicing as a potential source of enterprise income, but adoption has been slow due to operational complexity and uncertain demand. If networks can adapt quickly to sudden spikes—such as a crowded stadium event or emergency response operations—operators could offer temporary connectivity or guaranteed service levels without manual setup, potentially opening new business models.
Orange has previously stated that enterprise customers expect connectivity to behave like cloud computing, where resources scale on demand. Automated control of network resources could bring telecom services closer to that model, enabling more flexible and cost‑effective solutions for businesses that rely on private 5G networks for factories, large venues, or other critical applications.
The pilot also highlights the growing role of cloud providers in telecom operations. Over recent years, some operators have migrated parts of their core networks to public cloud platforms or built cloud‑based control systems. Industry analysts at Dell’Oro Group note that telecom cloud spending is rising as operators modernise networks and adopt software‑driven infrastructure. Adding AI‑driven control loops on top of cloud platforms represents the next evolutionary step, allowing AI systems to monitor conditions and apply adjustments rapidly.
Conclusion
The Nokia‑AWS pilot demonstrates that AI can function as an operational controller, adjusting physical and virtual resources in response to live events. While the technology remains in the testing phase, the collaboration between a leading telecom equipment manufacturer and a major cloud provider signals a significant step toward more autonomous, responsive 5G networks. Future developments will likely focus on scaling the solution, establishing regulatory frameworks for AI‑controlled critical infrastructure, and integrating human oversight mechanisms to ensure reliability and accountability. As operators continue to experiment with AI‑enabled network slicing, the industry may move closer to delivering on the promise of 5G as a flexible, on‑demand platform for both consumer and enterprise services.
