How Ericsson will Harness AWS’ Agentic AI to Cut Costs

Ericsson's Cognitive Network Solutions has partnered with Amazon Web Services (AWS) to advance autonomous network development through Agentic AI technology. The partnership seeks to transform network management for Communication Service Providers (CSPs), enabling them to optimise operational efficiency and respond to evolving business demands.

The integration of AWS's AI and cloud infrastructure with Ericsson's telecom expertise enables CSPs to optimise network performance, reduce operational costs and deliver superior customer experiences.

Revolutionary AI-powered network management takes centre stage

The core of this collaboration will explore how the advanced AI capabilities of AWS can be leveraged in the products and solutions that form Ericsson's Cognitive Network Solutions (CNS) portfolio.

This will help take the existing network management systems to the next level and in turn the networks themselves to the higher levels of autonomy – through the use of intent-based autonomous decision making – along with gen AI agents or agentic AI. With the central focus to optimise the performance of the network and the service experience – while making sure costs are predictable and an efficient operation for the telecommunications providers worldwide.

Jean-Christophe Laneri, Vice President and Head of Cognitive Network Solutions at Ericsson says: "This collaboration marks a pivotal milestone in network optimization technology.

"AWS global infrastructure and Artificial Intelligence (AI), alongside Ericsson's unique cross-domain telecom experience and insights, will assist communication service providers in adapting to changing business conditions with predictable costs and enhanced operational efficiency."

Four key pillars drive network transformation forward

The collaboration revolves around clear key areas:

Enhancing network autonomy

Ericsson's rApps (RAN automation applications) represent a paradigm shift in network management for Communication Service Providers (CSPs). These applications leverage Agentic AI to enable intelligent, collaborative decision-making across automated systems, propelling networks toward TMF Autonomous Networks levels 4 and 5. This transformation delivers substantial operational cost reductions while simultaneously improving network performance and user experience.

Developing and deploying intent-based networks

Intent-based networking introduces a declarative approach where operators define desired network outcomes rather than prescriptive implementation steps. This abstraction layer empowers network operators to articulate their goals—what the network should accomplish—while the underlying systems determine the optimal methods to achieve these objectives.

Exploring and delivering value from Agentic AI

Agentic AI serves as the orchestrating intelligence that coordinates multiple rApps toward common objectives. This technology enhances intent-based networks by interpreting operational goals, making data-driven decisions about implementation strategies and continuously adapting network configurations in response to real-time conditions and evolving requirements.

Delivering innovation and efficiency

The collaboration between AWS's artificial intelligence capabilities and Ericsson's telecommunications expertise creates a foundation for industry-wide advancement. This partnership prioritises innovation, operational transformation and the delivery of flexible, efficient solutions that address the evolving needs of CSPs while benefiting the broader communications ecosystem.

Industry leaders unite to shape tomorrow's networks

Fabio Cerone, General Manager of the EMEA Telco Business Unit at AWS, adds: "By working together, AWS and Ericsson will help telecommunications providers automate complex operations, reduce costs, and deliver better experiences for their customers. We are delivering solutions that create business value today while building toward autonomous networks."

This partnership is a significant moment for telecommunications technology. With a clear promise of advancements with the addition of both Gen and agentic AI-based tools to the management software of the network – while also looking to improve the optimisation of a network and making operational activities more efficient.

By pushing automation forward across telecoms, through the use of Level four and five autonomous networks will help to significantly improve connectivity for CSPs and subscribers around the world and lay the groundwork for networks of the future.

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