Nokia reports largely unchanged AI-RAN roadmap while refining migration messaging

Nokia says its AI-RAN roadmap and timeline remain largely unchanged, while it refines migration messaging and increases confidence in a merchant silicon and GPU-based approach.

Roadmap and timeline

The company states that its AI-RAN roadmap and timeline are “largely unchanged from what the company shared with analysts and investors over the past year,” indicating execution against an existing plan.

The change in the announcement focuses on how Nokia presents deployment choices rather than a change in the overall timeline.

Migration approach

Nokia simplifies its migration story by shifting emphasis away from specific vRAN architectures and toward deployment flexibility and performance profiles, including “installed-base leverage, high-capacity AI-RAN, and cloud-native AI-RAN.”

Compared with the prior Nokia-NVIDIA framework, the update reflects changes in packaging and messaging while keeping the migration strategy intact.

Hardware direction and software focus

The report says Nokia shows more confidence in merchant silicon and GPU-based AI-RAN messaging, positioning AI-RAN as “a software-defined platform strategy rather than a hardware story.”

Management indicates that “most future software innovation and feature development will target the merchant silicon track,” while Nokia continues to support multiple hardware options.

AI-on-RAN positioning

Nokia highlights use cases beyond AI-for-RAN, including sensing and “positioning/location services,” as well as “third-party software applications that could run on the platform.”

The report says these items are presented as complementary ecosystem opportunities rather than the primary justification for the architecture.

Performance claim context

The announcement includes a claim of up to “2x spectral efficiency improvements,” which the report advises viewing with caution until there is more clarity on assumptions, benchmarks, and comparisons.

The report notes spectral efficiency depends on deployment scenarios and starting points, which makes cross-vendor comparisons difficult.

Alignment with analyst forecasts

The report links the announcement to Dell’Oro’s AI-RAN and GPU-RAN forecasts, including a “$35 B AI-RAN forecast” and an upward revision to GPU-RAN outlook.

It states the revised GPU-RAN outlook “now exceeds $1 B by 2030,” and describes consistency with a view that AI-for-RAN adoption is accelerating as operators move toward “software-centric and AI-native RAN architectures.”

Role in Nokia’s RAN turnaround

The report frames AI-RAN as part of Nokia’s broader RAN turnaround efforts, citing that Nokia “lost approximately 10 percentage points of RAN market share over the past decade.”

It says AI RAN is a “strategic bet” that software-driven innovation, flexible deployment options, and AI-native capabilities can help strengthen Nokia’s competitive position.

This Analyst Signals brief reflects a neutral, fact-based summary of the original research note.