Nokia's Software Pivot Earns JPMorgan's $12 Stamp and a New Mobile Chief

The transformation of Nokia from a hardware stalwart into a software-driven networking force is gathering pace. On Wednesday, the stock touched its highest level in 16 years, reaching 11.79 euros as investors cheered the company's latest push into autonomous artificial intelligence for fixed-line networks. The rally added 5.17% on the day, extending a staggering year-to-date advance of 111.84% that has turned heads across the telecom equipment sector.

The catalyst for the latest leg up was a detailed product rollout. Nokia is embedding agentic AI functions into three existing platforms — Altiplano, Corteca and Broadband Easy — rather than launching a standalone tool. The software is designed to automate network planning and maintenance, with the Finnish group promising concrete performance targets. It aims to resolve more than 50% of customer issues on the first contact, slice the time to diagnose network incidents to under five minutes, and halve the number of on-site technician visits.

A large operator in the Asia-Pacific region is already testing the technology. Nokia plans to make it broadly available in the second half of 2026, setting a clear deadline for investors to measure the payoff. Service teams will get a dedicated AI assistant that offers real-time guidance during installations and repairs, while computer-vision tools will monitor the quality of fiber-optic installations and create digital twins of networks.

Analysts are taking note. JPMorgan this month lifted its price target on Nokia from 6.90 euros to 12.00 euros, citing the company's strategic repositioning. Morgan Stanley followed with an 11.00 euro target, and both banks currently recommend an overweight stance. "The combination of deep industry knowledge and open architecture is the right approach for scalable networks," said Grant Lenahan of Appledore Research, endorsing the use of autonomous control loops and open interfaces.

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The software push comes on the heels of a deliberate portfolio cleanup. At the end of April, Nokia sold its wireless fixed-access unit to Inseego, sharpening its focus on pure fiber and Wi-Fi. The market for autonomous AI in telecom is projected to reach $6.2 billion by 2030, according to Nokia’s own estimates, giving the strategy a sizable addressable market.

The financial substance behind the narrative is already visible. In its most recent quarter, Nokia posted a 54% jump in operating profit, and contracts with an AI or cloud component exceeded 1 billion euros in volume. Yet the stock’s blistering run — up roughly 40% in just 30 days — has raised the bar for future news flow. To sustain the current valuation, the new AI tools will need to translate into measurable cost savings and margin-rich software revenue.

Separately, Nokia announced a leadership change that reinforces its software orientation. Emma Falck, a computer physicist by training and a former Siemens executive responsible for smart-infrastructure products, will take over the Mobile Infrastructure division on September 1, 2026. She will report directly to CEO Justin Hotard, with a brief to embed more AI capabilities into the mobile network portfolio. The move mirrors broader industry experiments: T-Mobile and Ericsson have been testing AI-native RAN functions on 5G-Advanced networks, reporting a 10% improvement in spectral efficiency.

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Nokia’s patent business continues to provide a reliable funding stream for such R&D efforts. Nokia Technologies generated 1.5 billion euros in revenue in 2023, with margins above 70%. That cash flow gives the group flexibility as it bets heavily on software-defined infrastructure.

The next major checkpoint for investors is the broad commercial launch in the second half of 2026. If operators can achieve the promised service levels in everyday operations, Nokia’s AI story will gain real-world credibility. Until then, the share price has already priced in a great deal of optimism.

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