Nokia announced a comprehensive upgrade to its autonomous networks portfolio on 23 June 2026, introducing agentic AI capabilities designed to help telecommunication providers improve network performance, reliability, and operational efficiency. Unveiled at DTW in Copenhagen, the new portfolio includes the Autonomous Networks Agent Library, an updated Autonomous Networks Suite, and enhanced RAN automation. These tools aim to enable operators to manage unpredictable traffic patterns driven by AI-intensive workloads while maintaining control over live network environments.

Portfolio Enhancements

The Autonomous Networks Agent Library delivers pre-built AI agents that combine reasoning and autonomous action to solve operational problems across security, assurance, and service operations. Nokia stated that productivity gains typically range from 60 to 80% compared to traditional operations. The Autonomous Networks Suite introduces on-premise deployment options and new use cases for improved VoLTE service quality and optimized subscriber experiences.

Network-Specific AI Frameworks

Nokia’s MantaRay SMO solution now features Non-Real-Time RIC functionality with AI-enabled rApps for managing complex radio networks. The company is collaborating with NTT DOCOMO to advance SMO-driven autonomy. Additionally, Nokia introduced specific agentic AI frameworks for different network domains:

Strategic Context

These advancements follow a recent JP Morgan upgrade, where analyst Sandeep Deshpande raised the price target for Nokia from $14 to $21 while maintaining an Overweight rating. The analyst cited AI-related product catalysts as a key driver for the revised forecast. Nokia targets commercial availability for its agentic AI framework by the end of 2026, aligning with its broader strategy to transition networks from static infrastructure to programmable, AI-native platforms.

Nokia Oyj shares rose on Monday after the company expanded its partnership with Google Cloud, a subsidiary of Alphabet Inc., to integrate Gemini-powered AI agents into Nokia’s Assurance Center. The collaboration aims to help telecom providers automate network operations, cut costs, and resolve service issues faster. By leveraging Google Cloud's Agent Development Kit and Gemini Enterprise Agent Platform, Nokia is developing six specialized agents designed to enhance network automation and operational efficiency. Nokia shares were trading up 5.34% at $14.21 at the time of publication on Monday.

Gemini Agents for Network Automation

The expanded partnership focuses on embedding AI agents into Nokia’s network infrastructure to support event triage, anomaly detection, KPI analysis, and remediation recommendations. These agents also handle orchestration and natural-language dashboard creation. The system is designed to reduce network troubleshooting times by 50% to 80% by filtering false alarms, identifying root causes, and recommending corrective actions.

Nokia’s "glass box autonomy" approach ensures engineers retain control over critical decisions while enabling closed-loop automation in approved, low-risk scenarios. The router and event triage agents are already functional.

Deployment and Broader AI Strategy

Nokia plans to launch the initial certified agent pack on Google Cloud Marketplace in September 2026. Additional agents will roll out from late 2026 through 2027 across Nokia’s broader network software portfolio. This initiative complements Nokia’s broader AI and 5G strategy, which includes adding an agentic AI framework to its Network Services Platform by the end of 2026 and expanding 5G coverage in Indonesia through a partnership with Indosat Ooredoo Hutchison. Nokia is also collaborating with NVIDIA Corp. on AI Grid and AI-RAN, with field trials planned by the end of 2026.

Key Details of the Partnership

"The AI era demands a new kind of network — one that is programmable, AI-native, and able to operate at machine speed," said Vivek Jaiswal, senior vice president, Autonomous Networks at Nokia. Sridhar Gollapudi, global telco market lead at Google Cloud, added that agentic AI marks a fundamental shift in how telecommunications networks are managed, moving operators away from rigid templates to dynamic, goal-oriented automation.