Nokia Bets on Multi-Cloud AI to Automate Network Operations from End to End

The Finnish telecom equipment maker has pulled out all the stops in a frenetic two‑day burst of partnership announcements, with the aim of turning the industry’s decade‑old talk of autonomous networks into a commercial reality. By weaving together Amazon Web Services, Google Cloud, Databricks, HCLTech and Aira Technologies into a single software fabric, Nokia is betting that no single cloud giant can deliver the level-4 self‑driving networks operators crave. The disclosures landed on June 24 and June 25, lifting shares that have already more than doubled this year.

Six Specialized Agents Take on Gemini

The most headline‑grabbing move is the integration of Google’s Gemini large language models into the Nokia Assurance Center. Six dedicated artificial‑intelligence agents – each tuned to a specific network domain – will soon be able to hunt down and fix faults without human intervention. Nokia expects repair times to be cut by more than half when the software‑as‑a‑service offering goes live on the Google Cloud Marketplace this September. The agents cover everything from root‑cause analysis to predictive maintenance, giving operators a single pane of glass managed by conversational AI.

HCLTech and Aira Plug Into the SMO Marketplace

On the same day that the Gemini integration was unveiled, Nokia also deepened its relationship with Indian IT services firm HCLTech. Four rApps – radio‑intelligent applications – have been added to Nokia’s Service Management and Orchestration (SMO) marketplace. They tackle anomaly detection, energy optimisation and traffic steering, allowing mobile networks to rebalance themselves in real time. Separately, Aira Technologies’ Naavik One platform has been connected to Nokia’s MantaRay SMO, bringing closed‑loop automation that detects and resolves problems without a single manual command.

AWS as the Backbone for Level‑4 Autonomy

Underpinning all these moves is a sweeping deal with Amazon Web Services. Nokia will run its entire Autonomous Network Fabric on AWS and aims to offer commercially viable level‑4 autonomy by the end of 2026. That’s a tall order: Accenture estimates that roughly 79% of telecom operators are still stuck at levels 0 or 1, where most tasks require human hands. A successful proof‑of‑concept with Databricks has already supplied the data‑lake infrastructure needed to feed the AI models. Nokia’s fabric will sit atop Amazon Bedrock, giving carriers access to a library of foundation models while keeping their network data inside the cloud environment of their choice.

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Stock Momentum and the Cost‑Cutting Narrative

Investors have cheered the strategy shift from hardware purveyor to AI‑enabled infrastructure partner. The Nokia share price has surged around 119% since the start of the year, most recently changing hands at €12.21. That still leaves it roughly 18% below the early‑June high of €14.97, and the relative‑strength index of 49 points to neutral near‑term momentum. The broader telecom industry is under relentless pressure to lower operating expenses, and Nokia is explicitly targeting that pain point with promises of faster service rollouts and fewer outages.

Tangible Metrics and Hard‑ware Tailwinds

The company is backing up the ambition with real‑world numbers. Its existing automation tools already achieve more than 90% automation rates, keep service‑provisioning times under four hours and limit annual network interruptions to less than one minute. Rollouts of network slices are said to be up to 85% quicker, while operational disruptions fall by half. There is also a hardware‑led kicker: after the Infinera acquisition, Nokia’s first‑quarter revenue from AI and cloud customers grew 49% year on year. The proof, however, will be measured in customer projects. Level‑4 autonomy by 2026 is a bold promise, and the market is watching to see whether the multi‑cloud bet can actually deliver the margins that the stock’s run‑up now demands.

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