DTW26: Nokia’s Agentic AI Blueprint for Autonomous Network Operations

Nokia expanded its network automation portfolio at DTW 2026 by introducing a new Autonomous Networks Agent Library, releasing the latest iteration of its Autonomous Networks Suite, enhancing RAN automation, and debuting AI-driven frameworks across IP, fixed, and optical networks. Structurally, these coordinated advancements enable telecom operators to incrementally integrate AI and agentic automation throughout the entire infrastructure stack. By providing a phased deployment model, the vendor ensures that service providers can adopt automated workflows without sacrificing operational control or compromising system trust in live production environments.

We see Nokia positioning these innovations as a direct response to a major industry shift, wherein traditional, static infrastructure is transforming into highly programmable, AI-native platforms. This evolution creates evolving pressure on operators, who must now navigate unpredictable traffic patterns and dynamic workloads generated by widespread AI consumption. Consequently, the company’s new architectural framework is designed to transition operators toward elevated levels of network autonomy, ultimately accelerating decision-making cycles, streamlining operations through automated workflows, and maximizing the efficiency of underlying network resources.

To combat the escalating structural complexity of modern 5G, 6G, and multi-vendor virtualized systems, telecommunications operators are integrating agentic AI to transition away from manual oversight and rigid, deterministic scripts. Deploying specialized autonomous agents with embedded telco expertise expedites the pivot from traditional, reactive firefighting to a proactive, intent-driven architecture that can reason and execute independent goals across historically siloed network layers. This transition to transparent, guardrailed autonomy directly alleviates intensifying margin pressures by streamlining root-cause diagnostic loops from hours to only minutes, eliminating on-site visits, and enabling compounding operational efficiencies.

We find that these innovations can overcome a pivotal systemic barrier by embedding AI into live telecommunications infrastructure through a structured, heavily regulated framework aligned with operational mandates. By integrating agentic AI features directly into network management software rather than demanding a total infrastructure replacement, Nokia de-risks the technological transition. This non-disruptive integration model empowers service providers to systematically scale automated workflows at an adaptable pace as institutional confidence in the AI's decision-making grows.

As a result, this step-by-step automation redefines service assurance by shifting network defense from immediate damage control to predictive optimization. On the backend, providers realize swift dividends through a reduction in mean time to resolution (MTTr} optimizing resource allocation and solidifying adherence to service level agreements (SLAs). On the frontend, this infrastructural resilience cushions consumer and enterprise applications against underlying network anomalies, neutralizing potential downtime to ensure a non-disruptive, high-performance user experience.

Nokia's Agentic AI Framework: Redefining Network Operations and Open RAN Interoperability

Nokia’s Agent Library and Autonomous Networks Suite shift the paradigm of network operations by replacing traditional, reactive workflows with context-aware, autonomous execution. Operating within a glass box autonomy framework, these pre-built AI agents combine telecommunications expertise with advanced reasoning to manage dynamic live network conditions while maintaining strict observability and governance boundaries.

By automating workflows, such as identifying zero-day threats, executing root-cause event triage, and optimizing subscriber experiences across radio access networks (RAN), operators can shift from manual troubleshooting to intent-driven management. Empirically, this shift yields profound business outcomes, delivering 60% to 80% productivity gains over legacy operations, improving Voice over LTE (VoLTE) service quality, and compressing response timelines across intricate, live environments.

A critical pillar of Nokia’s architectural strategy is its emphasis on standardized scaling and multi-vendor interoperability, primarily driven by the MantaRay Service Management and Orchestration (SMO) solution. Fully aligned with Open RAN frameworks, MantaRay integrates Non-Real-Time Radio Intelligent Controller (Non-RT RIC) functionality alongside AI-enabled rApps to orchestrate highly complex radio environments and execute dynamic network slicing.

Rather than operating as a siloed solution, Nokia’s framework leverages multi-agent coordination capable of scaling across extreme network environments. This production-ready maturity is validated by industry collaborations with major global operators such as NTT DOCOMO, focusing on MantaRay SON and AutoPilot trials to advance field-proven, cross-vendor automation.

The Glass Box Advantage: How Nokia Redefines the Telecom Automation Landscape

In the highly competitive telecom automation landscape, we identify Nokia’s primary rivals as including Ericsson and Huawei. While Ericsson leverages its Cognitive Software suite to focus heavily on AI-driven RAN optimization, Huawei targets emerging markets with its Intelligent Autonomous Network (IAN) architecture. Concurrently, hyperscalers, such as AWS, present a competitive alternative by offering operators cloud-native, AI-driven orchestration platforms that bypass traditional telecom vendor ecosystems.

Nokia delivers a competitive edge through its strict adherence to Open RAN standards and its unique glass box autonomy, which grants operators unparalleled visibility and safety boundaries. Furthermore, by spotlighting its documented 60% to 80% operational productivity gains through pre-built, domain-specific multi-agent libraries, Nokia can position itself as a low-risk, high-return partner. From our viewpoint, reinforcing these deep, cross-domain integrations across IP, fixed, and optical layers enables Nokia to increasingly outmaneuver rivals who provide less cross-domain portfolio agility across specific hardware or cloud environments.

Nokia and Google Cloud Accelerate Network Autonomy through Multimodal Multi-Agent Orchestration

We anticipate that the expanded partnership between Nokia and Google Cloud marks a pivotal shift in telecommunications infrastructure management by embedding Gemini's multimodal reasoning directly into the Nokia Assurance Center. By using Google Cloud's Agent Development Kit, Nokia has engineered a collaborative ecosystem of six specialized AI agents designed to process dense network telemetry and isolate critical root causes from background noise. This multi-agent framework directly addresses intensifying margin pressures by collapsing traditional, manual troubleshooting timelines by 50% to 80%, transforming slow diagnostic workflows into rapid, machine-speed resolutions.

Architecturally, the deployment is optimized for enterprise scalability, running natively on standard cloud infrastructure such as Kubernetes to eliminate the need for expensive, custom software overlays. From our perspective, Nokia maintains operational trust through its glass box autonomy model, using agents as an advisory layer that presents confidence-based recommendations for human verification before execution. This strategic integration equips global operators with a risk-mitigated, scalable pathway toward fully automated, self-driving networks that protect revenue and maximize service reliability.