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The European Commission has approved Orange’s plan to acquire the remaining stake in MasOrange, signaling limited competitive impact and clearing the path for full control in Spain. Orange will purchase the roughly 50% it does not already own in MasOrange from the Lorca consortium for about €4.3 billion. MasOrange was created in 2024 by combining Orange Spain and MásMóvil, and the new deal converts the joint venture into a wholly owned Orange subsidiary. The Commission used its simplified merger review, indicating no structural change in market concentration. Closing is expected before July 2026, after which MasOrange will be integrated into Orange’s operations and financial reporting.
March 2026's roundup: GSMA, Google Cloud, Huawei, and AWS all converge on an "agentic telco" framing at MWC Barcelona, SoftBank and SK Telecom build proprietary telecom-specific AI models and infrastructure, and physical AI reaches airports, drones, and network edge sites — with AI-RAN and connectivity infrastructure covered separately in our companion Advanced Connectivity Insights, March 2026.
Orange Business has launched Orange Drone Guardian, a counter‑UAS service that turns telco infrastructure into a nationwide sensing fabric—arriving as drone activity, regulation, and critical-infrastructure risk converge. Orange is leveraging assets few others can: secure nationwide connectivity, cloud qualified to ANSSI’s SecNumCloud 3.2 standard, a domestic security operations capability, and a tower footprint via TOTEM’s 19,700 sites across France. The offer combines sensors, command‑and‑control software, secure cloud, and managed operations in a subscription bundle designed to scale and evolve. Delivered as a subscription, customers gain real‑time situational awareness without large upfront capex.
AT&T’s five-year, $250 billion U.S. network commitment sets the tone for the next phase of fiber, 5G, and satellite convergence as traffic, AI workloads, and resilience requirements climb sharply. The 2026–2030 window aligns with the industry’s transition into 5G-Advanced (3GPP Release 18/19), the scaling of edge AI, and increased cloud traffic between homes, enterprises, and hyperscalers. Data growth is no longer linear, and the cost of downtime is rising. Large, front-loaded builds in fiber and 5G Radio Access Network (RAN), paired with new satellite overlays, are how national carriers will chase coverage, performance, and reliability targets simultaneously.
American Tower’s latest outlook puts a hard number on a trend most operators feel on the ground: the network needs to double by the end of the decade to absorb 5G, fixed wireless access, and AI-driven traffic. Mobile data growth remains the primary engine for new network investment. As 5G adoption scales and fixed wireless access expands, capacity pressure is shifting from coverage to throughput. The next leg comes from AI. New applications—from on-device inference to computer vision at the edge—demand more bandwidth, tighter latency, and stronger uplink. That profile is different from today’s downlink-heavy usage and will stress radios, backhaul, and site power.
KDDI and Nokia validated quantum-safe optical transport at KDDI’s new Sakai Data Center, a facility built to support real-time AI training, inference, and analytics. The demonstration used Nokia’s 1830 Photonic Service Switch with C+L band capabilities for capacity scaling and the 1830 Security Management Server for centralized key and policy control. The goal is clear: deliver high-throughput, low-latency, and line-rate encrypted data center interconnect (DCI) that is resilient against both today’s threats and tomorrow’s quantum-era risks. Encrypting at the optical layer removes the performance penalties of application or IP-layer encryption and avoids fragmenting security by workload.
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.
India is moving to anchor a larger slice of global AI compute by pairing policy incentives with large-scale private capital and renewable power. New Delhi has outlined plans to attract more than $200 billion for AI infrastructure over the next two years, positioning the country as a production base for compute, data, and advanced applications rather than a pure consumer market. The policy stack aims to reduce friction for export-oriented AI services while widening access to shared compute for startups and enterprises. Adani Group plans to invest $100 billion through 2035 to build renewable-powered, AI-optimized data centers across India.
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.
Blackstone will take a majority stake in Neysa through up to $600 million in primary equity, alongside Teachers’ Venture Growth, TVS Capital, 360 ONE Asset, and Nexus Venture Partners; the company also plans up to $600 million in debt to accelerate buildout. The raise is a step change from Neysa’s earlier $50 million and positions the Mumbai-headquartered startup to scale domestic GPU clusters for enterprises, public sector agencies, and AI developers.
The plan centers on Visakhapatnam, a port city on India’s east coast, as a tightly coupled zone for data centers, subsea cable landings, power, water, and the digital supply chain. State leadership wants the cluster to be more than rack space. It aims to bring in server assemblers, power and cooling vendors, and specialized logistics to create end-to-end capability. The city is also being pitched as a landing point for new subsea systems toward Singapore, which would diversify India’s international connectivity beyond Chennai and Mumbai and lower latency into Southeast Asia.

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