Nokia’s Strategic Pivot: Accelerating Growth Through AI-RAN and Cloud Infrastructure

Nokia has officially entered a new chapter of its corporate evolution. In a recent earnings call with investors, CEO Justin Hotard confirmed that the company’s strategic focus on high-growth segments—specifically AI-driven infrastructure and next-generation radio networks—is yielding significant dividends. As the telecommunications industry grapples with the transition toward 6G and the massive compute requirements of artificial intelligence, Nokia is positioning itself not merely as a hardware vendor, but as a provider of "physical AI" platforms.

The Q3 2026 financial results serve as a testament to this shift. With a 10% year-on-year increase in net sales to EUR 5.154 billion and a robust 35% surge in comparable operating profit, Nokia is proving that its focused investment strategy is paying off.


Main Facts: A Financial Turnaround

The core narrative of Nokia’s Q3 2026 performance is the successful decoupling of its legacy operations from its high-growth, AI-centric business units.

Financial Highlights

  • Net Sales: EUR 5.154 billion, marking a 10% year-on-year increase.
  • Operating Profit: Comparable operating profit rose by 35% to EUR 605 million.
  • Operating Margin: Expanded by 220 basis points to reach 11.7%.
  • Constant-Currency Growth: Comparable net sales grew by 9%, signaling strong underlying demand despite currency fluctuations.

The company’s growth is bifurcated. While traditional telecom infrastructure remains a steady, foundational pillar, the "AI and Cloud" segment has exploded, growing by 123% on a constant-currency basis. This segment now accounts for 12% of the total group net sales, with an order intake that soared 118% year-on-year to EUR 1.5 billion.


Chronology of Development: From Lab to Live Network

The progression of Nokia’s AI-RAN (Artificial Intelligence-Radio Access Network) technology has moved with remarkable velocity over the past year.

  • Early 2026: Nokia and Nvidia solidify their collaboration, aiming to turn radio networks into distributed intelligence platforms.
  • Q2 2026: Laboratory validation begins in earnest, with major carriers like Deutsche Telekom testing the platform in Bonn and Oulu.
  • September 2026: Nokia’s "Radio World" event showcases real-time sensing of the physical world using wireless infrastructure, demonstrating the technology’s capability beyond basic connectivity.
  • Q3 2026: Commercial deployment milestones are reached. T-Mobile successfully completes a live voice call over AI-RAN on its production network in Bellevue, Washington. Simultaneously, Finnish carrier Elisa successfully executes voice, mobile data, and AI workloads simultaneously on a single commercial AI-RAN platform.
  • Late 2026/2027 Outlook: Plans for field trials are solidified for major European carriers, including BT in Birmingham, while Nokia prepares to finalize the integration of Infinera to bolster its optical network capacity.

Supporting Data: Dissecting the Business Units

Nokia’s performance is a study in contrasts between its legacy and emerging divisions.

Radio Networks and Infrastructure

Radio networks grew by 10% on a constant-currency basis, bolstered by a strategic acceleration of revenue recognition from Q4 into Q3. The strongest performance was observed in the EMEA (Europe, Middle East, and Africa) and APAC (Asia-Pacific) regions, specifically Japan and India.

Core Software and Legacy Constraints

Conversely, core software net sales declined by 13%. Management attributed this to a deliberate de-emphasis of certain underperforming applications and ongoing supply-chain constraints affecting server infrastructure. This contraction, however, appears to be a calculated trade-off to prioritize resources for higher-margin AI projects.

Technology Standards

The licensing arm remains a consistent cash generator, bringing in EUR 425 million in Q3, an 8% increase on a constant-currency basis. This growth was driven by a series of license agreements signed over the previous four quarters, bolstered by the "catch-up" net sales typical of long-term IP licensing cycles.


Official Responses: The Vision of CEO Justin Hotard

In his address to investors, Justin Hotard emphasized that Nokia’s identity is shifting. "AI and cloud was, again, our largest growth engine," Hotard stated. "Mobile infrastructure grew in the quarter as our focus remains on profitability and improving return on invested capital."

Nokia says AI-RAN nears commercial deployment as radio networks grow 10%

The AI-RAN Philosophy

Hotard’s most significant commentary centered on the conceptual shift of the Radio Access Network. "With AI-RAN, we are transforming the radio network into a platform for physical AI," he explained. "This is critical for emerging applications such as autonomous mobility, industrial automation, robotics, and augmented reality."

He drew a parallel between the current state of RAN and the historical transition of the broader technology industry toward general-purpose computing. By utilizing Nvidia’s Aerial-RAN computer and Nokia’s "anyRAN" software, the company is effectively creating a software-defined foundation. According to Hotard, this is not just an incremental improvement; it is an "upgrade path to 6G."


Implications: The Road Ahead for Telecommunications

The implications of Nokia’s current trajectory are profound for the entire telecom ecosystem.

1. The Death of the "Dumb Pipe"

By enabling AI workloads to run directly on the RAN, Nokia is helping operators move away from being simple connectivity providers. If an operator can offer "distributed intelligence" via the radio network, they can monetize services related to industrial automation and edge computing, rather than just selling data plans.

2. The Nvidia-Nokia Synergy

The partnership with Nvidia is not just a marketing agreement; it is a fundamental technological integration. With nearly 20 telecom operators publicly committed to the Nokia-Nvidia AI-RAN ecosystem, the industry is seeing a consolidation of standards. This reduces the risk for operators, who now have a clearer path to deploying AI-ready infrastructure.

3. Vertical Integration and Simplification

The acquisition and rapid integration of Infinera are critical to this strategy. By the end of 2026, Nokia expects to have completed the integration a year ahead of schedule, generating EUR 200 million in net synergies. This move strengthens Nokia’s position in optical networks, which are the backbone required to transport the massive data loads generated by AI.

4. Monetizing the Physical World

The demonstration of real-time sensing via wireless infrastructure is perhaps the most disruptive implication. If a mobile network can "see" and "sense" its environment—identifying moving objects or monitoring industrial processes—the telco sector gains an entirely new revenue stream that is disconnected from consumer data consumption.

Conclusion

Nokia has successfully navigated a difficult period of market contraction by aggressively pivoting toward the infrastructure of the future. By focusing on AI-RAN, cloud-native software, and high-capacity optical networks, the company is positioning itself to be the primary architect of the next generation of digital connectivity.

As the industry moves toward 2027, the success of Nokia will likely serve as a bellwether for the rest of the telecom sector. The question is no longer whether AI will transform telecommunications, but how quickly operators can adopt the platforms that Nokia and its partners are currently building. With commercial deployments already underway, the future of "physical AI" appears to be arriving much faster than the industry originally anticipated.