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Nokia is making a multi‑year, $4 billion push to expand US R&D and manufacturing as it pivots to AI‑native networks under CEO Justin Hotard. The company will invest roughly $3.5 billion in US‑based R&D spanning networking technologies, defense applications, automation, quantum‑safe networking, and semiconductor development. A further $500 million targets manufacturing and R&D expansion in Texas, New Jersey, and Pennsylvania, strengthening domestic supply chains for critical telecom gear. The plan follows Nokia’s strategy revamp and creation of a Mobile Infrastructure unit to advance an AI‑native network portfolio across RAN, transport, IP, and cloud.
Policy choices over the next two years will set the capacity ceiling for 6G-era services through the 2030s. Mobile traffic is overwhelmingly urban, concentrated in a small fraction of national land areas and rising fastest in very dense zones. The GSMA’s new Vision 2040 analysis concludes these levers will not keep pace with demand growth on their own. The modeling indicates countries will need, on average, 2–3 GHz of total mid-band assigned for mobile by 2035–2040 to meet peak urban demand; higher-demand markets trend toward 2.5–4 GHz. Crucially, about 2 GHz needs to be operational by 2030 to avoid early congestion as 6G arrives.
Nvidia’s CEO has warned that U.S. export controls have effectively halted the company’s China business, sharpening the stakes for AI leadership, supply chains, and enterprise buyers. He indicated the company is modeling China sales at effectively zero for the next two quarters under current rules, acknowledging that the revenue loss constrains reinvestment in R&D and manufacturing capacity. The message was blunt: a prolonged lockout weakens the U.S. AI stack abroad and cedes room to rivals at home and overseas. Huang pegged China’s accelerator market at roughly $50 billion today with potential to reach up to $200 billion by decade’s end.
A LinkedIn poll revealed hesitation in hiring external AI experts. Reasons include skepticism (“AI hype”), internal disagreements, and the belief they can do it themselves. Experts highlight that many internal AI projects fail due to complexity, overpromising, and lack of specialized skills. External experts, especially from smaller firms, boost success by providing crucial expertise, aligning stakeholders, and guiding effective implementation, ultimately offering a better return on AI investments.
Ericsson’s latest Mobility Report points to a clear shift: operators are turning 5G capabilities into differentiated, SLA-backed services rather than just selling more data at higher speeds. After years of building coverage and capacity, 5G networks are mature enough to commercialize features like guaranteed latency, uplink boosts, and application-aware prioritization. The catalysts are in place: more 5G Standalone (SA) cores, rising traffic from video creation and immersive apps, and enterprise demand for predictable performance across sites and clouds. The net result is momentum behind premium, differentiated connectivity that can be priced, assured, and exposed to partners.
Deutsche Telekom’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 Cloud—an NVIDIA-powered facility that DT and NVIDIA unveiled as part of a €1 billion partnership.
India’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. Ericsson’s latest Mobility Report projects over 1 billion 5G subscriptions in India by end-2031, representing about 79% of the country’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 Verizon’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.
The FCC has advanced a rulemaking that would free up a significant slice of upper C-band spectrum for 5G and future 6G services, setting the stage for a high-stakes auction and complex satellite transition by mid-2027. The Commission unanimously approved a Notice of Proposed Rulemaking (NPRM) to clear and auction between 100 and 180 megahertz in the 3.98–4.2 GHz band (upper C-band) via competitive bidding. Because 3GPP band n77 already extends up to 4.2 GHz globally, much of the 5G device and radio ecosystem can support this expansion with minimal modification, accelerating time-to-market for carriers once licenses are granted.
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