TLDR: Nokia has unveiled a new generation of agentic AI applications and an ‘Autonomous Networks Fabric’ designed to revolutionize telecom network management. These innovations, developed in collaboration with partners like Google Cloud, leverage telco-trained AI models, Large Language Models (LLMs), and Machine Learning (ML) to enable networks to self-manage, self-optimize, and self-secure, promising significant operational efficiencies, enhanced security, and new revenue streams for Communication Service Providers (CSPs).
Nokia is at the forefront of transforming the telecommunications landscape with the introduction of advanced agentic AI capabilities and its ‘Autonomous Networks Fabric,’ a comprehensive suite of tools aimed at achieving unprecedented levels of network automation and intelligence. These developments are poised to usher in an era of self-aware, self-managing, and self-optimizing networks.
The core of Nokia’s offering includes a first-of-its-kind suite of telco-trained AI models and tools, developed in partnership with Google Cloud. This ‘Autonomous Networks Fabric’ is designed to drive coordinated automation across every network domain, integrating security, observability, analytics, and explainability. It features a library of ‘cross-domain correlated data products,’ alongside telco-trained Large Language Models (LLMs) and Large Action Models (LAMs), and various machine learning applications. The proposition is deeply integrated with Google Cloud’s generative AI and machine learning tools, including its Vertex AI platform and BigQuery SQL interface, to deliver ‘agentic-driven workflows for network operations.’
These agentic AI applications, referred to as ‘aApps,’ are specialized micro-applications that manage specific network resources, services, or functions with a closed-loop operation. They are crucial for realizing the vision of agentic autonomous networks, where networks can self-heal, self-optimize, and self-operate, thereby freeing human operators to focus on higher-level strategic tasks.
One of the significant advancements highlighted is in network security. Nokia is leveraging telco-trained LLMs and agentic AI to proactively detect cybersecurity threats. This AI-driven approach is capable of reducing the ‘dwell time’ between a threat occurring and its removal from the network from days to mere minutes, significantly enhancing the security posture of CSPs.
Kal De, Senior Vice President of Product and Engineering, Cloud and Network Services at Nokia, emphasized the importance of AI in this evolution: “CSPs around the world are actively pursuing higher levels of network autonomy to achieve increased operational efficiency and offer their customers personalized experiences. AI is the catalyst to unlock L4/L5 autonomy, manage complexity, and orchestrate actions across network domains and operational functions.”
He further added, “Traditional machine learning, LLMs, and Agentic AI will each play critical roles in the journey towards fully autonomous networks. Nokia is helping CSPs evolve their network, service and security operations with AI models trained on telco data, and with access to contextual information like threat intelligence.”
Beyond internal developments, Nokia is also a key participant in broader industry collaborations. At Mobile World Congress (MWC) 2025, Nokia, alongside Jio Platforms Limited (JPL), AMD, and Cisco, announced their work on creating an open AI telecommunications platform. This platform aims to accelerate the development and commercialization of AI-based telecom solutions, ensuring interoperability. It will create a multi-domain intelligence layer that integrates AI and automation into the entire operations of telecom networks, utilizing agentic AI, domain-specific language models (SLM), and non-generative AI-based machine learning techniques.
Pekka Lundmark, CEO of Nokia, commented on this collaboration: “The telecom AI platform will help Jio optimize and monetize its network investments through improved performance, security, operational efficiency, automation, and a significantly enhanced customer experience, all thanks to the immense power of artificial intelligence.”
These innovations are particularly timely as the telecom landscape undergoes a dramatic transformation driven by the convergence of 5G, 5G Advanced, and the eventual emergence of 6G, alongside the accelerated adoption of AI- and cloud-native architectures. The promise of agentic autonomous networks for CSPs includes increased operational efficiency, reduced costs, accelerated time-to-value, and the ability to deliver superior customer experiences by transforming networks into intelligent, adaptable, and efficient ecosystems.
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Nokia’s commitment to agentic AI and autonomous networks underscores a strategic shift towards more intelligent and self-sufficient network infrastructures, promising a future where telecom operations are largely automated and highly resilient.
