Nokia, on May 12, 2026, announced new agentic AI capabilities for its fixed network product lines in order to help boost productivity and operational expertise throughout home as well as broadband networks. Based on 600+ million deployed broadband lines, the agentic AI capabilities of Nokia assist telecom providers solve fibre and Wi-Fi challenges right from design and planning to deployment and standard operations. The AI-enabled fixed networks portfolio of Nokia is built for the intelligent broadband era, enhancing the end-user experience, boosting operational effectiveness, and speeding up fibre rollout.
The telecom industry is all set to spend $6.2 billion on agentic AI by 2030. Agentic AI systems that can rationalise and decide independently will be a major enabler of the cognitive broadband era, changing networks from basic connectivity to autonomous optimisation and AI-powered infrastructures.
According to the president of fixed networks with Nokia, Sandy Motley, AI makes your end-users less likely to churn, your engineering and helpdesk teams more productive, and your field teams connect more homes more quickly. Nokia’s Agentic AI puts 600+ million lines’ worth of broadband experience at the fingertips of every field technician, helpdesk agent, and network engineer and solves problems before the customer is even aware. We are fundamentally changing how home and broadband networks are deployed and run.
As part of new agentic AI in homes and broadband networks, Nokia employs AI agents as well as natural language interactions in its Altiplano and Corteca as well as Broadband Easy platforms in order to help telecom providers modernise their processes and cut costs. Operators can actively fix problems, optimise operations with no added headcount and identify network-related issues by means of automated root-cause assessment. The AI agents will provide immediate, tangible advantages for operators, such as raising initial contact helpdesk resolution rates over 50%, qualifying network occurrences in less than 5 minutes, and reducing return trips to construction sites and connected homes by 50%.
The new agentic AI in homes and broadband networks is based on open and safe conduct that combines AI agents, live data and external services, with guarantees surrounding regulation, the privacy of data and vendor liberty. Operators have complete control and may utilise an LLM suitable for their particular use case, deploy their own interfaces, or connect sources of data when they deploy AI across their business.
Says Grant Lenahan, Partner and Principal Analyst with Appledore Research, “AI only works with quality data and when data is AI-ready. Our recent market outlook on AI in network automation underscored that the industry is rapidly moving to build infrastructure capable of enabling powerful, successful AI. Vendors like Nokia that combine deep domain expertise with real-world scale are best positioned to deliver reliable outcomes. Nokia’s approach reflects many of the right architectural principles, including autonomous control loops, structured data models, and open APIs, which are critical to making automation easy and AI responses accurate.”
Nokia’s new AI capabilities go ahead and cover the entire broadband network lifecycle. They improve end-user experience and enhance productivity for customer care, network engineering & operations as well as field force teams –
- A chat-based AI assistant offers technicians and assistance teams immediate access to product knowledge, speeding up training and routine troubleshooting.
- AI-powered text, voice, and image guidance assist field technicians throughout surveys and installations, and computer vision technology assists in verifying the standard of work done and creating a live digital twin of the FTTH network.
- Automated diagnostics to detect the degradation and avoid the outages, providing the frontline support teams higher levels of operational precision and depth of analysis.
- An intelligent troubleshooting agent enhances the root cause analysis and accelerates remediation efforts throughout home and access networks, employing sophisticated reasoning in order to identify errors faster, lower ticket volumes and boost first call resolution rates.