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April 2026's roundup: Samsung's Taylor fab comes online with 2nm production for Tesla's AI chips, Intel joins Elon Musk's Terafab project targeting 1 terawatt of annual AI compute, Nokia and NVIDIA position telecom networks as distributed compute platforms, and hyperscalers commit tens of billions more to AI data centers across Asia-Pacific.
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.
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.
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 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.
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.
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.
Virgin Media O2 has broadened its partnership with Zinkworks to deploy AI-driven monitoring and automation across its mobile footprint, designed to spot anomalies earlier, resolve incidents faster, and prevent customer-impacting outages. The rollout targets multiple network domains and operational workflows, advancing the operator’s move toward autonomous operations with engineers maintaining full oversight. The capabilities span radio access, core network systems, and network operations centers, combining real-time telemetry with intelligent automation. The stack runs on Google Cloud and taps services such as Vertex AI and Gemini to analyze patterns, orchestrate responses, and augment decision-making for operations teams.
OpenAI introduced Frontier as an enterprise platform to build, govern, and monitor AI agents—positioning agent management as core infrastructure rather than a feature. Frontier is an end-to-end platform for creating and managing AI agents that can connect to external data and applications, execute tasks, and operate under enterprise controls. OpenAI is emphasizing an open architecture: organizations can manage agents built on Frontier and agents constructed with third-party frameworks.
Liberty Global and Google Cloud have signed a five-year agreement to deploy AI at scale across Liberty Global’s European footprint and to advance hybrid cloud, autonomous networks, and new go-to-market plays. The partnership spans roughly 80 million fixed and mobile connections across Liberty Global’s operating companies, including Virgin Media O2 in the UK, Telenet in Belgium, VodafoneZiggo in the Netherlands, Virgin Media in Ireland, and Sunrise in Switzerland. On the network side, the companies will co-develop AI-first programs aimed at reliability, security, scalability, and cost efficiency. Commercially, the parties will target SMEs with a joint portfolio that combines connectivity with cloud, cybersecurity, and AI services.
Amdocs is launching aOS, an agentic operating system for telecom, to move CSPs from AI pilots to production-scale, cross-domain automation. Amdocs’ aOS targets that gap with a multi-agent architecture that automates complex workflows while keeping humans in the loop for policy and final decisions. At the foundation is a “Cognitive Core” that manages telco-specific knowledge, agent libraries, and guardrails. aOS pricing will lean on outcome-based SLAs, tying spend to measurable business impact such as resolution rates, handle-time reductions, activation velocity, or assurance KPIs. aOS is Amdocs’ bid to make agentic AI the connective tissue of telco operations.
ElevenLabs raised $500 million in Series D funding at an $11 billion valuation, led by Sequoia Capital with continued participation from Andreessen Horowitz and ICONIQ, and new backing from Lightspeed, Evantic Capital and BOND alongside existing investors. The company says it has surpassed key ARR milestones and reported strong enterprise adoption across sectors through 2025, with telecom emerging as a priority vertical as operators seek to modernize legacy IVR and contact center stacks. Conversational agents can replace keypad IVRs with natural dialogue that recognizes intent, confirms identity, retrieves context and executes actions across channels.
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