AI

Deutsche Telekomโ€™s T-Systems has secured a multi-million-euro contract from Leibniz University Hannover to power SOOFI, a flagship initiative to build a 100-billion-parameter, European-operated large language model. The SOOFI (Sovereign Open Source Foundation Models) project will train a next-generation, open-source LLM focused on European languages and industrial requirements, replacing the current 7-billion-parameter Teuken7B with a model two orders of magnitude larger. T-Systems will host and operate the training environment in its new Industrial AI Cloudโ€”an NVIDIA-powered facility that DT and NVIDIA unveiled as part of a โ‚ฌ1 billion partnership.
Indiaโ€™s 5G market has entered a scale phase, with momentum pointing to more than a billion subscribers and deeper network modernization over the next six years. Ericssonโ€™s latest Mobility Report projects over 1 billion 5G subscriptions in India by end-2031, representing about 79% of the countryโ€™s mobile base. Average mobile data usage per active smartphone in India stands near 36 GB per month and is forecast to approach 65 GB per month by 2031. Two demand-side levers stand out: affordable 5G devices and expanding Fixed Wireless Access (FWA), accelerating mainstream adoption and opening a credible substitute to wired broadband in underserved areas.
Verizon will cut more than 13,000 roles as part of a broader restructuring aimed at simplifying operations and resetting its cost base for the next phase of growth. The reduction represents roughly 13% of Verizonโ€™s reported ~100,000 full-time workforce and about one-fifth of its non-union management ranks, according to figures shared alongside the announcement. In parallel, Verizon plans to curb outsourcing and other external labor spending, convert 179 company-owned retail stores to franchise operations, and shutter one store. The restructuring reflects subscriber headwinds and a need to rebalance costs as 5G investment priorities shift from buildout to monetization and automation.
Nvidiaโ€™s latest quarter signals that AI infrastructure spending is not cooling and is, in fact, broadening across clouds, sovereigns, and enterprises. Nvidia delivered $57 billion in revenue for the quarter, up more than 60% year over year, with GAAP net income reaching $32 billion; the data center segment accounted for roughly $51.2 billion, dwarfing gaming, pro visualization, and automotive combined. Management guided next-quarter sales to about $65 billion, exceeding consensus by several billion and underscoring that supply remains tight for cloud GPUs even as deployments ramp across hyperscalers, GPU clouds, national AI initiatives, and large enterprises.
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 PANWโ€™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.
Reliance Jio has widened its Google AI bundle from a youth-focused offer to a network-wide benefit, signaling that AI services are becoming core to 5G monetization in India. Jio is extending a complimentary 18โ€‘month subscription to Googleโ€™s premium AI planโ€”marketed around access to Gemini 3โ€”to every Jio customer on an Unlimited 5G plan. The bundle centers on expanded access to Googleโ€™s latest Gemini experience, AIโ€‘assisted features in Gmail and Docs, 2 TB of cloud storage across Photos, Drive, and Gmail, video generation powered by Googleโ€™s Veo technology, NotebookLM at elevated limits, and developer tooling such as Gemini Code Assist and Gemini CLI.
Nokia is restructuring to monetize the AI supercycle across fixed and mobile networks while tightening focus on profitable growth. The companyโ€™s new strategy concentrates on: accelerating in AI and cloud; leading the next era of mobile with AI-native networks and 6G; co-innovating with customers and partners; concentrating capital where it can differentiate; and unlocking sustainable, consistent returns. Nokia will move from four primary segments to two, with changes effective 1 January 2026. The company is targeting comparable operating profit of โ‚ฌ2.7 billion to โ‚ฌ3.2 billion by 2028.
A new impact study shows CTIA Wireless Foundationโ€™s Catalyst program has touched 30 million Americans since 2019, underscoring how mobile-first tools can scale social outcomes faster than traditional interventions. The Foundation has invested just over $1 million in unrestricted grants yet reports benefits to nearly one in 12 Americansโ€”evidence of the leverage that wireless distribution, app stores, messaging, and APIs can create when paired with practical problem-solving. More than 30 social entrepreneurs have received support through Catalyst, selected from over 800 applications across 46 states. For telecom leaders, the takeaway is clear: modest, well-targeted funding combined with mobile channels and carrier-grade networks can produce nonlinear impact, particularly in domains (public safety, health, mental health, road safety) where ubiquity and low friction matter more than heavy infrastructure.
Alphabetโ€™s Google will spend $40 billion to build three AI-focused data centers in Texas, signaling that power access and grid proximity now define hyperscale strategy more than any single technology feature. The build spans one campus in Armstrong County in the Texas Panhandle and two in Haskell County near Abilene, with investments running through 2027. Google expects the program to create thousands of construction and supplier jobs and hundreds of long-term operations roles, consistent with typical hyperscale staffing patterns. Texas offers relatively low-cost power, faster interconnection timelines, abundant land, and pro-investment policies, making it second only to Virginia in U.S. data center count.
AT&T has activated EchoStarโ€™s 3.45 GHz spectrum across a massive swath of its macro network, delivering a step-change in speed and capacity that advances its 5G and fixed wireless agenda. AT&T has deployed the 3.45 GHz band on nearly 23,000 cell sites across the contiguous United States, touching more than 5,300 cities. Early field results point to up to 80% faster 5G download speeds in upgraded markets. The same spectrum injection is lifting AT&Tโ€™s fixed wireless access (FWA) product, Internet Air, with download speeds up by about 55%. Mid-band spectrum is the engine of 5G performance at scale.
Ciscoโ€™s intent to acquire Seattle-based NeuralFabric signals a decisive shift toward practical, domain-specific AI that meets real-world constraints around data, compliance, and infrastructure. Cisco plans to acquire NeuralFabric, an enterprise AI platform focused on building small language models (SLMs) from proprietary data with deployment across SaaS and on-premises environments. By focusing on SLMs trained on enterprise data and deployable in hybrid environments, Cisco aims to shorten time-to-value while keeping control where it belongsโ€”inside the business. They reduce inference cost, improve latency, and can be deployed on-premises or at the edgeโ€”critical for sectors like telecom, financial services, and healthcare.
Jeff Bezos is stepping back into day-to-day operations as co-CEO of Project Prometheus, a new AI company reportedly funded with $6.2 billion to build โ€œAI for the physical economy.โ€ Project Prometheus will be co-led by Bezos and Vik Bajaj, an operator-scientist with leadership experience at Google X, Verily, and Foresite Labs. Early reports indicate the company is targeting engineering and manufacturing tasks across sectors such as aerospace, automotive, and computing hardware. Headcount is already near 100, drawing researchers from OpenAI, Google DeepMind, and Meta, signaling an aggressive push for top-tier AI talent.

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