AI Agents

SK Telecom ATHENA: AI-Native 6G Blueprint

SK Telecom ATHENA: AI-Native 6G Blueprint
SK Telecom introduced ATHENA—an architecture grounded in AI-native operations, Zero Trust security, hyper-connectivity, openness, and cloud-native design—to guide mid- to long-term evolution across RAN, core, transport, and network data platforms. The operator positions “AI for network” and “network for AI” as dual tracks: the former embeds AI into decision loops for autonomous optimization, while the latter tunes the network fabric to serve AI workloads efficiently. SK Telecom will showcase related technologies at MWC Barcelona 2026, including AI agents for networks, AI-RAN for combined connectivity and compute, device-side AI for antenna tuning, and integrated sensing-and-communications.

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.

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 and Mistral AI: Telco-Grade Network Automation

Ericsson and Mistral AI: Telco-Grade Network Automation
Ericsson and Mistral AI are aligning telecom-grade engineering with customizable foundation models to push AI deeper into network operations and RAN automation. The pairing marries Mistral AI’s fast-evolving model stack with Ericsson’s domain expertise across radio, cloud-native networking, and service management. For European operators, it signals a path to AI capabilities that respect data residency, security, and compliance expectations under the EU AI Act without ceding control to generic, hyperscaler-led platforms. The outcome operators want is simple: measurable gains in performance, efficiency, and resiliency with governance baked in.

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.

T-Mobile 5G AI Translation: Network-Native Live Call Interpreter

T-Mobile 5G AI Translation: Network-Native Live Call Interpreter
T-Mobile is introducing a network-native AI translation service that activates during voice calls, signaling a new phase where AI runs inside the mobile network rather than on apps or devices. T-Mobile announced a beta of Live Translation, a voice-call feature that translates conversations in over 50 languages by activating an AI agent within its 5G Advanced network. The service is initiated by the T-Mobile subscriber using *87* during a call; only one caller needs to be on T-Mobile, and it also works while roaming on supported networks.

LG Uplus autonomous network with AI agents

LG Uplus autonomous network with AI agents
LG Uplus is moving from rule-based automation to closed-loop autonomy, using AI agents and digital twins to accelerate toward a fully autonomous network by 2028. Its core platform, the AI Orchestration Nexus (AION), is already automating repetitive operations and has contributed to a reported 70% reduction in customer complaints about network quality—an early signal that the approach is translating into measurable outcomes. The company plans to showcase these capabilities at MWC Barcelona 2026, underscoring growing operator interest in operational AI as 5G matures and traffic patterns become more volatile.

NTT DATA and AWS Scale AI and Cloud in APAC

NTT DATA and AWS Scale AI and Cloud in APAC
NTT DATA and AWS have signed a multi-year strategic collaboration aimed at accelerating cloud modernization and responsible agentic AI adoption, with clear implications for APAC enterprises and telecoms. The agreement expands joint go-to-market and delivery across four pillars: AI-driven cloud transformation, industry cloud solutions, AI-enabled managed services and customer experience, and sovereign cloud for regulated workloads. NTT DATA has created a dedicated AWS Business Group with close to 11,000 AWS-certified experts and plans to certify nearly 10,000 more in three years. APAC boards want measurable AI outcomes, but legacy estates, data fragmentation, and compliance obligations slow progress.

IBM to Acquire Confluent for Real-Time Enterprise AI

IBM to Acquire Confluent for Real-Time Enterprise AI
IBM has agreed to acquire Confluent for $31 per share in cash, signaling a decisive move to make real-time, governed data the backbone of generative and agentic AI across hybrid cloud environments. The transaction values Confluent at an enterprise value of roughly $11 billion, with closing targeted by mid-2026 pending shareholder and regulatory approvals. Together they aim to unify application, data, and AI pipelines across public clouds, private data centers, and edge locations—reducing integration friction and accelerating time to value for enterprise AI.

Palo Alto Networks to Acquire Chronosphere for AI Observability

Palo Alto Networks to Acquire Chronosphere for AI Observability
Palo Alto Networks is buying Chronosphere to fuse cost-efficient, large-scale observability with AI-driven automation for modern cloud and AI data centers. Palo Alto Networks agreed to acquire Chronosphere for approximately $3.35 billion in a mix of cash and replacement equity, with closing expected in the second half of PANW’s fiscal 2026 (ending July 31). Chronosphere brings a next-generation observability architecture and telemetry pipeline built for scale and cost control. Together, they aim to turn observability from passive dashboards into autonomous, governed remediation that blends performance and security insights.
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Why Airport AI Deployments Are Outrunning Airport Network Security
Why Airport AI Deployments Are Outrunning Airport Network Security
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Airports are deploying AI surveillance, biometrics, and autonomous vehicles faster than most networks can secure them. See what 100 real-world airport deployments reveal about the airside/landside security gap — and the 4-layer framework built to close it....
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