GSMA

DOCOMO and Keio Prove Stable 5G Teleoperation on Commercial SA

DOCOMO and Keio Prove Stable 5G Teleoperation on Commercial SA
NTT DOCOMO and Keio University have validated that commercial 5G Standalone (SA) can stably support haptic-grade robot teleoperation using network slicing and configured grant—turning years of URLLC theory into practical results. By pairing 3GPP-configured grant scheduling with a low-latency slice and Keio’s Real Haptics technology, DOCOMO showed that public 5G SA can carry force and tactile feedback with the determinism required for safe, precise manipulation. The KPIs demonstrate material improvements in latency stability, force fidelity, and motion smoothness—indicators that the control loop is resilient enough for practical tasks.

TELUS Digital AI in Telecom: Scaled 20+ GenAI use cases on Fuel iX

TELUS Digital AI in Telecom: Scaled 20+ GenAI use cases on Fuel iX
TELUS Digital is using Mobile World Congress 2026 to move the AI-in-telecom conversation from pilots to proven production at scale. TELUS Digital reports processing more than two trillion tokens in 2025 through its Fuel iX generative AI platform for TELUS operations and customers. The portfolio spans AI for customer experience, application safety, and network modernization—built and battle-tested within TELUS before client rollout. The Network Design Services practice applies AI to planning and optimization while charting a path from legacy network stacks to cloud-native, automated environments.

5G Healthcare at Scale: GSMA Foundry and NUHS

5G Healthcare at Scale: GSMA Foundry and NUHS
A new collaboration between GSMA Foundry and Singapore’s National University Health System (NUHS) aims to operationalize connected health at scale, with Ericsson and Singtel anchoring the 5G foundation. Healthcare digitization has moved from pilots to production, but most sites still struggle with deterministic connectivity, secure data exchange and workflow integration. The program combines private 5G with digital twin, XR, IoT and ambient AI to improve outcomes and operational resilience across care pathways. Early focus areas include 5G-enabled remote surgical assistance with ultra-reliable, low-latency links; immersive XR training and simulation that compress learning curves; autonomous and semi-autonomous robotics for logistics and point-of-care tasks; and AI-guided imaging such as vein visualization.

European Edge Federation: DT, Orange, Telefónica, TIM, Vodafone

European Edge Federation: DT, Orange, Telefónica, TIM, Vodafone
Deutsche Telekom, Orange, Telefónica, TIM, and Vodafone unveiled a live, pan‑European edge federation at MWC 2026, marking a practical step toward an interoperable edge cloud that spans national borders. The five largest European operators demonstrated the European Edge Continuum, a federated edge capability now running in lab and pre‑production environments. The initiative provides a single entry point to deploy and manage applications across multiple operators’ edge nodes, with automated placement, security controls, and mobility‑aware continuity. The platform draws on components developed under the IPCEI‑CIS program backed by the EU’s NextGenerationEU funds, and is positioned for industrialization and commercial rollout next.

Nokia and AWS Launch Agentic AI for 5G-Advanced Network Slicing

Nokia and AWS Launch Agentic AI for 5G-Advanced Network Slicing
Nokia and Amazon Web Services (AWS) are bringing agentic AI to 5G-Advanced network slicing, moving closed‑loop, intent-based services from PowerPoint to live pilots with du and Orange. The partners unveiled an agentic AI-powered slicing solution that fuses Nokia’s RAN-to-core slicing, AirScale radio, and MantaRay SMO with AWS’s Bedrock AI platform and EKS Hybrid Nodes to turn external context—events, traffic, maps, weather—and live network KPIs into real-time policy decisions. The result is adaptive, premium slices provisioned when and where they’re needed, without manual reconfiguration.

Claude Code Security: AI finds 500+ vulnerabilities

Claude Code Security: AI finds 500+ vulnerabilities
Anthropic has introduced Claude Code Security, an AI capability that reviews codebases, flags complex vulnerabilities, and proposes patches with human oversight, and its early results should change how security leaders plan for AI on both offense and defense. Anthropic reports that its latest Claude Opus 4.6 model helped uncover more than 500 vulnerabilities in production open-source projects, including issues that had persisted for years. The product centers on high-signal findings, structured triage, and human-in-the-loop remediation so it can slot into existing DevSecOps workflows.

Infosys and Anthropic Claude: AI Agents for Telecom

Infosys and Anthropic Claude: AI Agents for Telecom
A new partnership between Infosys and Anthropic brings agentic AI into regulated, process-heavy industries, with telecom squarely in scope. Infosys will integrate Anthropic’s Claude models and Claude Code with its Topaz portfolio to build and operate enterprise-grade AI solutions across telecom, financial services, manufacturing, and software engineering. The collaboration emphasizes agentic AI—systems that can plan, call tools, and execute multi-step workflows with oversight—delivered with the controls, auditability, and policy enforcement that regulated sectors demand. Pairing Infosys’s domain depth with Claude’s reasoning and long-context capabilities gives operators a path to pragmatic automation that respects regulatory, safety, and transparency requirements.

India’s AI stack needs AI-native networks: Ericsson CTO

India’s AI stack needs AI-native networks: Ericsson CTO
India’s AI agenda increasingly spans silicon, data platforms, models, and applications, with an intent to catalyze domestic innovation and contribute to global ecosystems. For telecom leaders, the message is clear: AI is not a bolt-on capability but a system-level transformation that touches RAN, core, transport, cloud, and the enterprise edge. The AI economy runs on connectivity—low-latency access to data, assured bandwidth, location-aware processing, and programmable control. The operators that can fuse connectivity, compute, and data into a cohesive platform will set the pace for India’s next wave of digital growth.

OpenAI AI Devices: Multimodal Hardware Roadmap

OpenAI AI Devices: Multimodal Hardware Roadmap
OpenAI is reportedly building a portfolio of AI-native devices, signaling a push beyond software and into ambient, multimodal computing that will touch homes, workplaces, and networks. Multiple reports indicate OpenAI has over 200 people developing a family of AI-enabled hardware, with a smart speaker expected to debut first. Early guidance points to a price in the $200–$300 range and a ship window no earlier than February 2027. The device is said to include a camera to capture contextual information about users and surroundings—an explicit bet on multimodal AI that fuses voice, vision, and environment for richer interactions.

Ericsson AI rApp on AWS Accelerates Autonomous Networks

Ericsson AI rApp on AWS Accelerates Autonomous Networks
Ericsson has introduced an agentic rApp delivered as a cloud service on Amazon Web Services (AWS), aiming to speed operators’ shift from manual automation toward truly autonomous networks. By offering an “Agentic rApp as a Service” on AWS, Ericsson is packaging policy-driven and AI-assisted RAN optimization as a managed, cloud-delivered capability. Agentic capabilities bring reasoning, planning, and action-taking to operations. Running rApps on AWS offers elasticity, global reach, and faster release cadence. The goal: faster onboarding, lower integration friction, and a more repeatable path to closed-loop assurance across multi-vendor 4G/5G networks.

Telefónica and Nokia use agentic AI to accelerate network API adoption

Telefónica and Nokia use agentic AI to accelerate network API adoption
Telefónica and Nokia are piloting agentic AI to make network APIs easier to expose, discover, and consume, aligning with GSMA Open Gateway’s push for interoperable, developer-ready telecom capabilities. Industry efforts like GSMA Open Gateway and CAMARA have raised awareness of standardized network APIs, but uptake hinges on practical tooling that abstracts network complexity while preserving telco-grade security and control. Telefónica and Nokia are now testing agent-to-agent orchestration and context-sharing protocols to let AI “agents” reliably find, chain, and call network functions in a repeatable way.

NGMN’s 5G Network Simplification Framework

NGMN’s 5G Network Simplification Framework
NGMN’s latest operator-led guidance frames simplification as a precondition for 5G efficiency, sustainability and service agility—not an optional clean-up exercise. NGMN’s new Framework for Network Simplification – An Operator View argues for targeted simplification across radio, core and transport to contain this sprawl while preserving the ability to launch differentiated services. The alliance places cloud‑native design, federated service exposure and AI‑driven operations at the center of that shift, supported by agile ways of working. Simplification is how operators square the circle—cut carbon and cost, while accelerating innovation. The publication offers a practical, non-prescriptive method to decide where simplification delivers the most benefit, and when complexity risk outweighs near-term gains.
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