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NEC is moving to scale its cloud and SaaS business support capabilities with a $2.9 billion acquisition of CSG Systems International, positioning Netcracker at the center of the combined telecom monetization play. CSG brings a sizable recurring-revenue portfolio in digital BSS, billing, charging, and customer engagement used by communications, cable, media, and digital service providers, complementing Netcrackerโ€™s OSS/BSS, orchestration, and service automation strengths. The all-cash deal values CSG at approximately $2.9 billion on an enterprise value basis and has unanimous board approval, with closing targeted for 2026 pending CSG shareholder approval and customary antitrust and other regulatory reviews.
NVIDIA and Nokia unveiled a strategic partnership to deliver commercial AI-RAN products built on NVIDIAโ€™s Aerial RAN Computer Pro (ARC-Pro) platform and Nokiaโ€™s RAN software portfolio, with NVIDIA committing a $1 billion equity investment in Nokia at approximately $6.01 per share, subject to customary closing conditions. The companies are targeting an AI-native RAN that runs both radio workloads and AI inference on a software-defined, accelerated platform, with a cumulative AI-RAN market opportunity that Omdia estimates will exceed $200 billion by 2030. ARC-Pro is positioned as a 6G-ready accelerated computing platform that couples connectivity, compute, and sensing, enabling upgrades from 5G-Advanced to 6G largely via software.
Meta, Alphabet, and Microsoft signaled that AI infrastructure is now a multi-year capital priority measured in tens of billions per year. In their latest results, Meta guided capital expenditures into the $70โ€“72 billion range with an even larger step-up expected the following year. Alphabet raised its 2025 capex outlook to $91โ€“93 billion, up sharply from prior estimates. Microsoft reported $34.9 billion of capex in the most recent quarter, materially above expectations and up strongly year over year. These figures point to the largest synchronized build-out of compute, storage, and networking capacity in the history of cloud.
MTN has launched StarEdge Horizon, a Layer 2 service over SpaceXโ€™s Starlink designed to move enterprise traffic on a private path to MTN points of presence (PoPs), bypassing the public internet and reducing latency, jitter, and operational complexity. The service extends a private Layer 2 domain from remote sites over Starlink into MTN regional PoPs, where enterprises can centralize internet egress, security, and policy. QoS and segmentation protect prioritized traffic, while multi-link redundancy reduces site-level downtime risks. By bringing a private Layer 2 architecture to Starlink, MTNโ€™s StarEdge Horizon turns LEO from best-effort internet into a controllable enterprise transport.
India has ceded the lowest-tariff crown to Bangladesh and Egypt, yet it still leads on value through generous allowances and low data unit costs. Indian base plans commonly include unlimited voice, whereas Bangladesh and Egypt restrict voice to roughly 100 and 70 minutes respectively at entry level. On data, incremental purchase economics are unusually attractive: an extra Rs 100 typically buys around 26 GB, or about Rs 4 per GB, keeping India among the most affordable data markets globally. Even after adjusting for purchasing power parity, India remains at the affordable end of global tariff rankings.
Qualcomm is moving from mobile NPUs into rack-scale AI infrastructure, positioning its AI200 (2026) and AI250 (2027) to challenge Nvidia/AMD on the economics of large-scale inference. The company is translating its Hexagon neural processing unit heritageโ€”refined across phones and PCsโ€”into data center accelerators tuned for inferencing, not training. AI200 and AI250 will ship in liquid-cooled, rack-scale configurations designed to operate as a single logical system. Qualcomm is leaning into that constraint with a redesigned memory subsystem and high-capacity cards supporting up to 768 GB of onboard memoryโ€”positioning that as a differentiator versus current GPU offerings.
The partnership targets two fronts: mission-critical rail communications for operations and high-speed broadband for passengers. The scope includes deploying advanced 5G infrastructure, testing FRMCS-based use cases, and running a real-world trial on an existing SAR line to validate performance, integration, and safety requirements. An innovation and test lab will be established to accelerate solution validation, and SAR teams will be trained on FRMCS/5G rail technologies to build in-house capability. The partners will explore 5G Standalone capabilities for operational communications, including quality-of-service guarantees, redundancy, and resilience needed for rail. FRMCS-aligned services such as mission-critical push-to-talk/data/video (MCX), Railway Emergency Call, and secure staff communications will be validated for integration with signaling and control systems.
SoftBank has reportedly approved the final $22.5 billion tranche of a planned $30 billion commitment to OpenAI, tied to the AI firmโ€™s shift to a conventional forโ€‘profit structure and a path to IPO. The investment completes a massive $41 billion financing round for OpenAI that began in April, making it one of the largest private capital raises in tech history. This funding and restructuring signal faster enterprise AI adoption, heavier infrastructure demand, and new platform dynamics that will ripple across networks, cloud, and edge. OpenAI is pushing deeper into enterprise tools, security features, and domainโ€‘specific assistants.
Verizon signed a commercial agreement with Eaton Fiber, an affiliate of Tillman Global Holdings, to extend fiber-to-the-premises service well beyond its current Fios footprint and the locations it expects to add through its planned Frontier deal. The structure is straightforward. Eaton Fiber will fund, build, and operate the local access network. Verizon will handle sales, marketing, and customer care and gain full residential retail exclusivity on the new builds during deployment and for a subsequent period. Fiber is the control point for converged services.
Vodafone is partnering with Irish firm Zinkworks on Rapid RIC, a central platform that blends secure data analytics, a visual low-code interface, and code-generating AI to create and operate RAN applications, or rApps. The goal is ambitious but specific: cut time-to-market from months to weeks, scale deployments across markets, and improve service quality, capacity, and energy use. The platform is slated for early 2026 availability and will run primarily on Vodafoneโ€™s private Google Cloud Platform environment. Rapid RIC uses GenAI to generate production-grade code from visual designs, enabling radio engineers to turn domain knowledge directly into software without deep AI or ML skills.
Germanyโ€™s migration from copper to fibre is entering a price-led phase, and Vodafone is sharpening fibre offers to pull DSL users across the line. Germany has the fibre footprint but not the take-up: many households still cling to DSL and VDSL even where FTTH is available, leaving operators running two networks and straining economics. The emphasis is on choice, transparency and avoiding dual-running costsโ€”nudging, not forcing, customers to move. Price becomes the immediate lever to move hesitant households and SMEs off copper, especially in multi-dwelling units where permissions, in-building wiring and installation coordination add friction.
A new partnership between Palantir and Lumen Technologies signals a shift from internal AI pilots to packaged enterprise services delivered over a telecom-grade edge and network footprint. Palantir will provide its Foundry and Artificial Intelligence Platform (AIP) as the data and decisioning layer for Lumenโ€™s enterprise AI offerings, which Lumen plans to deliver on top of its edge computing nodes, broadband infrastructure, and managed digital services. The companies position this as a multi-year, strategic collaboration focused on operational AI use cases, not just experimentation. While exact terms were not disclosed, multiple reports indicate Lumenโ€™s total spend could exceed $200 million over several years.

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