Nokia Wants to Invent the Future of AI Networking Tech

Why It Matters

Accelerating AI‑specific networking gives Nokia a foothold in a fast‑growing market and supports its revenue‑growth target, while reducing deployment risk for customers adopting AI infrastructure.

Key Takeaways

• Nokia's AI Networking Lab partners with AMD, Lenovo, Supermicro, and others.
• AI and cloud sales rose 49% YoY, now 8% of revenue.
• Lab focuses on innovation, ecosystem collaboration, and real‑world validation.
• Goal: add >€1 bn ($1.1 bn) to revenue by 2028.

Pulse Analysis

The launch of Nokia's AI Networking Innovation Lab signals a strategic shift from traditional telecom equipment toward AI‑centric infrastructure. By situating the lab in Sunnyvale—a hub for silicon and cloud innovators—Nokia taps into a talent pool that can rapidly prototype next‑generation switching silicon, congestion‑control algorithms, and telemetry frameworks. This proximity to partners like AMD and Lenovo accelerates co‑development cycles, allowing Nokia to offer networking gear that can handle the massive bandwidth and low‑latency demands of large‑scale model training and distributed inference.

Nokia's recent financials underscore why the lab matters. AI‑related sales surged 49% year‑on‑year in Q1, now accounting for 8% of the company's total revenue, and helped lift the Network Infrastructure division by 6%. The company’s ambition to generate an additional €1 billion (about $1.1 billion) by 2028 hinges on converting this momentum into repeatable, scalable solutions. The lab’s three‑pronged approach—innovation, ecosystem collaboration, and validation—ensures that new protocols and hardware are tested against authentic AI workloads, reducing time‑to‑market and mitigating integration risks for hyperscalers and enterprise cloud providers.

For the broader telecom and data‑center markets, Nokia’s move intensifies competition with rivals such as Cisco, Huawei and Juniper, all vying for AI‑ready networking contracts. As AI workloads drive exponential traffic growth, operators will need networks that can dynamically allocate bandwidth, enforce ultra‑low latency, and provide granular telemetry. Nokia’s lab positions it to shape emerging standards and offer end‑to‑end solutions, potentially reshaping the value chain and setting a new benchmark for AI‑native connectivity.