Ericsson

Mobile World Congress 2026 showcased major developments across AI-native networks, enterprise private 5G, device innovation, and early 6G research. This recap highlights 50 key announcements and trends shaping the future of global connectivity.
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.
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 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.
Private LTE, 5G, and CBRS networks are becoming the backbone of industrial operations. This article maps private network security vendors to a Four Pillars framework—Core Controls, Device Visibility, Detection & Response, and Orchestration—revealing where structural gaps emerge in real-world industrial deployments. From slice isolation and SIM lifecycle governance to OT micro-segmentation and SOC integration, it explains why layered enforcement—not vendor breadth—determines private 5G security resilience.
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.
Ericsson is introducing an AI-first approach to building networks with the latest RAN hardware, engineered to meet AI-driven network demands, delivering greater uplink performance, improved TCO, and enhanced energy efficiency
Ericsson’s RAN software enhancements include AI-managed Beamforming, AI-powered Outdoor Positioning, and a best-in-class AI model for instant coverage prediction
New AI‑ready radios, featuring Ericsson Silicon with neural network accelerators, boost on‑site AI inference capabilities in Massive MIMO radios, enabling real‑time optimization and full stack, fully distributed AI
A new cross-industry consortium is forming to codify how trusted technology should be built, operated, and governed across borders. On February 13, 2026, fifteen companies spanning cloud, networks, semiconductors, software, and AI launched the Trusted Tech Alliance during the Munich Security Conference. The goal: define verifiable, provider-agnostic practices for a trustworthy technology stack—from connectivity and cloud infrastructure to chips, software, and AI—so customers and governments can rely on secure, resilient services regardless of where solutions are developed or deployed. Trust, sovereignty, and resilience are now gating factors for growth as AI scales and geopolitical risk reshapes supply chains.
Digipower X positions itself as a vertically integrated AI infrastructure operator combining Tier III-certified modular data centers with owned and controlled energy assets to compress deployment cycles. The company cites more than 200 MW currently online across a combined-cycle plant and three additional operational sites, development pathways for up to 1.5 GW over the next three years, and a letter of intent tied to a 1.3 GW power plant in West Virginia that is being evaluated as a long-term AI campus anchor, with additional scale targeted in North Carolina. Its AI-Ready Modular Solution (ARMS) aims to deliver Tier III modular capacity in roughly 180 days, emphasizing redundancy, energy optimization, and liquid-cooling readiness for high-density AI clusters.
With the Union Budget around the corner, the Cellular Operators Association of India (COAI) is asking for a structural fix to spectrum pricing, statutory levies, and GST that is designed to restore sector health and accelerate digital infrastructure build-out. COAI’s agenda centers on spectrum affordability, regulatory levy rationalization, and GST reform to unlock liquidity frozen as input tax credit. COAI argues for spending the sizable unused corpus first, holding the DBN levy in abeyance, and trimming license fees to roughly 0.5–1% to cover administrative costs. Cutting GST on regulatory payments from 18% to 5% would reduce the pace of new ITC build-up and meaningfully ease liquidity pressure.
The next wave of digital transformation will be defined by AI workloads riding on cloud and edge infrastructure over 5G networks, and that shift will change how networks are built, monetized, and secured. Generative and agentic AI move more compute into the network, creating persistent, uplink-heavy, low-latency flows rather than the mostly downlink, best-effort traffic of the smartphone era. Video from cameras, glasses, and sensors feeds models at the edge and in the cloud; results return in milliseconds to people and machines. That means tighter latency budgets, deterministic jitter control, and stronger guarantees for both throughput and reliability.
Verizon exits 2025 with standout subscriber growth and a leaner 2026 investment plan that shifts dollars from network build to integration, efficiency and customer retention. Verizon posted more than 1 million net additions in the fourth quarter, including 616,000 postpaid phone net adds—the best showing since 2019—and 372,000 broadband net adds driven by 319,000 fixed wireless access (FWA) additions and the strongest Fios Internet quarter since 2020. After years of 5G coverage build, Verizon is pivoting to densification, fiber integration and operating efficiency, allowing capex to step down without undermining network competitiveness. Capital will concentrate on fiber-led convergence, FWA capacity, and experience-centric technologies that reduce churn and support revenue quality.

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