Nokia announced new agent AI capabilities for its fixed network product line to help improve productivity and operational intelligence across home and broadband networks. Leveraging expertise from more than 600 million deployed broadband lines, Nokia’s agent AI capabilities help telecom providers tackle fiber and Wi-Fi challenges from design to planning, deployment, and operations. Designed for the cognitive broadband era, Nokia’s AI-enabled fixed network portfolio improves end-user experience, increases operational efficiency, and accelerates fiber deployment.
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The telecom industry plans to invest USD 6.2 billion in agent-based AI by 2030. Agent-driven AI systems capable of autonomous reasoning and decision-making will be a key driver of the cognitive broadband era, allowing networks to move beyond basic connectivity to self-optimizing AI-driven infrastructure.
Sandy Motley, President of Fixed Networks at Nokia, said:
AI reduces the likelihood of end-user churn, increases the productivity of engineering and help desk teams, and enables field teams to connect more homes faster. Nokia’s Agentic AI delivers a broadband experience equivalent to more than 600 million lines to every field technician, helpdesk agent, and network engineer, resolving issues before customers even notice. We are fundamentally changing the way home and broadband networks are deployed and operated.
Nokia is embedding AI agents and natural language interactions across its Altiplano, Corteca, and Broadband Easy platforms to help communications providers modernize operations and reduce costs. Operators can proactively resolve issues, scale operations without adding staff, and diagnose network issues using automated root cause analysis. For operators, AI agents create immediate and measurable changes, such as increasing first-contact help desk resolution rates by more than 50%, qualifying network incidents within five minutes, and reducing return visits to construction sites and connected homes by 50%.
Underpinning this is an open and secure approach that integrates AI agents, live data, and external services while ensuring compliance, data sovereignty, and vendor independence. Operators retain full control and can work with the LLM that best suits their specific use case, use their own interfaces, and connect to data sources as they extend AI across their business.
Grant Lenahan, partner and principal analyst at Appledore Research, commented:
Vendors like Nokia, which combine deep domain expertise with real-world scale, are best positioned to deliver reliable results. Nokia’s approach reflects many good architectural principles, including autonomous control loops, structured data models, and open APIs, which are important to ease automation and ensure accurate AI responses.
Nokia’s new AI capabilities span the entire broadband network lifecycle. They improve the productivity of customer care, network engineering and operations, and field forces while improving the end-user experience.
- AI assistants with conversational interfaces give technicians and support teams instant access to product knowledge to facilitate training and everyday problem solving.
- AI-powered text, voice, and image guidance assists field technicians during inspection and installation, and computer vision technology helps verify the quality of work done and build a live digital twin of the FTTH network.
- Automated diagnostics detect degradation and prevent outages, increasing operational accuracy and depth of analysis for frontline support teams.
- Troubleshooting agents improve root cause analysis and speed remediation across home and access networks. It also uses advanced inference to identify failures faster, reduce ticket volume, and increase first call resolution rates.
