Nokia Stock Surges 6.3% as Microsoft AI Partnership Cuts Network Data Access from Weeks to Minutes

Nokia and Microsoft Expand AI Partnership for Network Automation

Nokia stock jumped 6.3% in midday European trading Thursday after announcing an expanded Microsoft partnership1

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designed to accelerate AI-driven network automation for telecom operators worldwide. The collaboration integrates Nokia Data Suite with Microsoft Fabric, Microsoft's unified analytics and AI platform, cutting the time telecom operators need to access usable network data from weeks to minutes1

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. Nokia shares have gained nearly 70% year-to-date2

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, reflecting investor confidence in the company's strategic pivot toward data-center infrastructure and AI capabilities.

The partnership creates what Nokia describes as an "agentic, unified data foundation" that supports agent-based AI operations across the network stack1

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. The solution enables automated root-cause analysis and closed-loop operations designed for multi-vendor, cross-domain environments while supporting hybrid, cloud, and on-premises infrastructure. Vivek Jaiswal, senior vice president of autonomous networks at Nokia, stated that the collaboration helps networks evolve from static infrastructures into programmable, AI-native platforms1

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Autonomous VoNR Assurance and Predictive Maintenance Use Cases

Initial use cases demonstrate the practical application of AI in network automation. The autonomous VoNR assurance capability uses AI agents to detect service anomalies, run root-cause analyses, and recommend corrective actions1

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. Geo-experience mapping combines AI and machine learning to map radio access network subscriber sessions to geographic locations, identifying users with degraded performance2

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. Predictive maintenance represents a third use case where agents analyze historical and real-time data to anticipate network issues before they affect customers1

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Silvia Candiani, corporate vice president of worldwide telco and media at Microsoft, emphasized that telecom operators are ready to move AI from experimentation into everyday operations but require trusted data, strong governance, and scalable platforms1

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. The solution is available now, with ongoing expansion of autonomous network use cases and customer deployments planned1

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Eight Global Carriers Advance AI-RAN Trials with Nvidia

Nokia announced that eight global telecom operators are advancing AI-RAN platform trials using Nvidia Aerial RAN Computer technology3

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. A1 Group, Chunghwa Telecom, du, e&, Mobily, stc, TPG Telecom, and Zain Saudi are conducting proofs of concept and live field trials spanning Europe, Asia-Pacific, and the Middle East4

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. The AI-RAN platform has already demonstrated more than 20% spectral efficiency gains, with advanced AI models targeting over 2x efficiency improvements over time3

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Higher spectral efficiency enables telecom operators to move more data through existing spectrum without relying solely on additional spectrum or hardware investments3

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. Nokia combines its anyRAN software with Nvidia accelerated computing to run AI models at radio-network timescales3

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. Nvidia CEO Jensen Huang has described the radio access network as "the next AI infrastructure," framing the opportunity as a shift toward making the network itself an AI computing platform3

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Nokia's AI-Native Strategy and 6G Roadmap

Nokia's AI-native RAN platform is expected to begin pilots later this year and reach commercial availability in 20273

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. The platform has a roadmap to deliver further software-driven efficiency gains in both 2027 and 20284

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. Emma Falck, President of Mobile Infrastructure at Nokia, stated that the Nvidia collaboration helps operators transform their networks into intelligent, programmable platforms supporting both connectivity and AI services4

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. Nokia sees the technology as a path from 5G and 5G-Advanced toward AI-native 6G networks3

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The company has pursued a strategy of adding data-center infrastructure to its offerings as AI spending grows while maintaining its core telecom equipment business1

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. Nokia is scheduled to report earnings October 22, with analysts expecting EPS of 8 cents, up from 7 cents a year earlier, on revenue of $5.81 billion versus $5.64 billion2

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. The stock carries a Buy consensus rating with an average price forecast of $172

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, with JPMorgan maintaining an Overweight rating and $21 target.