Ericsson, AWS Ignite Telecom Revolution with AI-Powered Self-Healing Networks
Telecom's future: Ericsson and AWS harness AI to create self-healing, autonomous networks, slashing costs and downtime.
June 16, 2025

In a significant move to revolutionize the telecommunications industry, Ericsson's Cognitive Network Solutions is collaborating with Amazon Web Services (AWS) to pioneer the use of artificial intelligence in creating self-healing mobile networks. This partnership aims to transform how communication service providers (CSPs) manage the intricate systems that underpin our daily communications, from text messages to video calls. The collaboration will explore how the advanced AI capabilities of AWS can be integrated into Ericsson's Cognitive Network Solutions portfolio, with the ambitious goal of making these complex networks not just smarter, but largely autonomous. The core objective is to enhance network performance and service experience for customers while ensuring predictable costs and greater operational efficiency for telecom providers globally.[1] The initiative represents a critical step towards realizing fully autonomous networks, which can preemptively identify and resolve issues, optimize resource allocation, and adapt to changing conditions with minimal human intervention.[2][3]
At the heart of this collaboration is the application of cutting-edge AI technologies, including generative AI and agentic AI, to Ericsson's network management systems.[1] Agentic AI, in particular, is a key focus, as it can interpret high-level "intents," make informed decisions on how to achieve them, and dynamically adjust network configurations based on real-time data.[1] This synergy between Ericsson's deep expertise in telecommunications and AWS's leadership in cloud computing and AI is expected to accelerate the journey toward what the industry terms Level 4 and Level 5 autonomous networks.[1] These higher levels of autonomy will enable networks to continuously self-optimize and learn, moving beyond simple automation to intelligent, predictive, and ultimately, self-healing operations.[4][3] The collaboration is not just about technology; it's about fostering a new paradigm for network management that is more proactive, efficient, and resilient in the face of ever-increasing complexity and demand.[5][6]
The implications of this partnership for the AI and telecommunications industries are profound. For CSPs, the move towards self-healing networks promises a significant reduction in operational expenditures.[5][6][7] Manually managing and maintaining large-scale networks is a costly and resource-intensive endeavor, and automating these processes can lead to substantial savings.[6][8] By leveraging AI to predict and prevent network faults, CSPs can minimize downtime, which is crucial for maintaining customer satisfaction and preventing revenue loss.[9][10] One TM Forum catalyst project suggests that an AI-driven approach could reduce downtime by as much as 80% and lower operational costs by 50%.[6] Furthermore, the agility gained from automated, self-optimizing networks will enable providers to roll out new services, such as end-to-end network slicing for 5G, more rapidly and at an industrial scale.[11] This enhanced efficiency and flexibility are vital for CSPs to remain competitive and unlock new revenue streams in the 5G era and beyond.[5][12]
The collaboration between Ericsson and AWS is part of a broader trend of integrating AI and cloud technologies into the telecommunications sector.[4][2][13] AWS offers a suite of services tailored for telecom network automation, such as the AWS Telco Network Builder, which simplifies the deployment and management of telecom networks on the cloud.[14][15][16] This platform, combined with other AWS services like Amazon Elastic Kubernetes Service (EKS) and various AI/ML tools, provides the foundation for building and modernizing telco networks.[14][13] The partnership with Ericsson will leverage these capabilities to enhance Ericsson's offerings, including their Operations Support Systems (OSS) and Business Support Systems (BSS).[5] By certifying these systems on AWS, Ericsson enables CSPs to utilize globally validated deployments that can scale dynamically to meet real-time demand.[5] This integration of Ericsson's telecom-specific applications with AWS's robust cloud infrastructure and AI prowess creates a powerful combination for driving innovation and efficiency across the industry.[5][17] The collaboration extends beyond just network operations, with AI-generated insights also being applied to areas like revenue leakage reduction and improved customer experience.[5][4]
In conclusion, the strategic alliance between Ericsson and AWS marks a pivotal moment in the evolution of telecommunication networks. By harnessing the power of AI, particularly agentic and generative AI, the two companies are paving the way for the creation of self-healing networks that are more autonomous, reliable, and efficient.[1] This will not only transform the operational landscape for communication service providers by reducing costs and improving service quality but will also accelerate the adoption of advanced 5G services and foster a new wave of innovation.[11][6] While challenges such as data security and integration with legacy systems remain, the long-term benefits of enhanced network uptime, reduced operational burden, and adaptability make the pursuit of self-healing networks a strategic imperative.[9][18] The collaboration is a clear signal that the future of telecommunications is deeply intertwined with the advancements in artificial intelligence, promising a future of seamless, intelligent, and virtually self-sufficient connectivity.[1]
Research Queries Used
Ericsson AWS partnership AI self-healing networks
Ericsson Cognitive Network Solutions AWS collaboration
AI in telecom network automation
Benefits and challenges of self-healing networks
Jean-Christophe Laneri Ericsson AI networks
AWS services used for telecom network automation
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