Nokia has announced new agentic AI capabilities for its fixed network portfolio, aimed at improving operational intelligence, automation, and efficiency across home and broadband networks. The new AI-driven capabilities are designed to support telecom operators throughout the broadband network lifecycle, from planning and deployment to maintenance and customer support.
The company says the initiative builds on its experience managing over 600 million deployed broadband lines globally and is intended to support the transition toward what Nokia describes as the “cognitive broadband era.”
AI-Powered Networks Designed for Autonomous Operations
Nokia’s new capabilities integrate AI agents and natural language interaction across its Altiplano, Corteca, and Broadband Easy solutions.
The company says these AI systems are designed to help telecom providers proactively identify and resolve network issues, automate root cause analysis, reduce operational costs, and scale operations without significantly increasing workforce requirements.
Nokia highlighted that the AI agents could improve first-contact helpdesk resolution rates to over 50%, reduce network incident qualification times to under five minutes, and lower repeat visits to construction sites and connected homes by up to 50%.
AI Support Across Broadband Deployment and Operations
The newly introduced AI features span multiple operational areas within telecom infrastructure management. Nokia says the system includes conversational AI assistants that provide technicians and support teams with instant access to product knowledge, helping accelerate troubleshooting and training processes.
The pla”tform also introduces AI-powered text, voice, and image guidance for field technicians during network surveys and installations. Computer vision capabilities are being used to validate installation quality and create live digital twins of FTTH networks.
In addition, automated diagnostics and troubleshooting agents are designed to detect network degradations before outages occur, improving operational precision and speeding up fault remediation across broadband and home networks.
Open AI Architecture with Vendor Flexibility
Nokia stated that its AI framework follows an open and secure architecture, allowing operators to integrate AI agents, external services, live operational data, and different large language models based on their specific use cases.
The company emphasized that operators retain full control over data, interfaces, and AI deployment strategies while ensuring compliance, vendor independence, and data sovereignty requirements.
Telecom Industry Increasingly Investing in Agentic AI
According to Nokia, the telecom industry is expected to invest approximately $6.2 billion in agentic AI by 2030 as operators increasingly adopt autonomous reasoning and decision-making systems to manage modern broadband infrastructure.
The company believes these AI-driven systems will play a central role in enabling self-optimizing networks that go beyond basic connectivity and support next-generation broadband experiences.
Leadership Quotes
“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.” – Sandy Motley, President, Fixed Networks, Nokia.
“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.” – Grant Lenahan, Partner and Principle Analyst, Appledore Research.
Also read – Genpact Expands Google Cloud Alliance to Bring Agentic AI Solutions to CFO Operations
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