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CAFโ€™s signalling division and Cellnex demonstrated that OPTIO, a modular and multi-bearer CBTC platform, operates reliably on a private 5G network in both lab and field conditions, including challenging scenarios such as tunnels. The system already supports Wiโ€‘Fi and LTE; adding 5G confirms a multi-access design that lets operators choose the right bearer per line, phase, or location. Private 5G brings ultra-low latency, higher capacity, stronger QoS control, and end-to-end security under the operatorโ€™s domain. The project received European co-financing via the Recovery and Resilience Facility under Spainโ€™s UNICO Sectorial 2023 program, underscoring public support for digital rail modernization.
AST SpaceMobile is signaling a pivotal year ahead as it moves from demonstrations to commercial direct-to-device coverage with major operators and an aggressive launch schedule. The companyโ€™s plan to begin โ€œintermittent nationwideโ€ service in early 2026, followed by continuous coverage later in the year, is also a forcing function for device vendors, standards work, and MNO network integration. As AST scales to 45โ€“60 BlueBird satellites by end-2026, pass frequency and overlap increase to support โ€œcontinuousโ€ service across the U.S., Europe, Japan, and other priority markets. AST reports over $3.2 billion in cash and liquidity.
A new pilot in Spain shows that the upper 6 GHz band can deliver 5G-class coverage with far higher capacity, positioning it as a prime spectrum option for 5G-Advanced and 6G. The 6.425โ€“7.125 GHz range (3GPP Band n104) is the last sizable mid-band window that is not tied to legacy mobile use in Europe. The trial found that with higher-order massive MIMO and active antennas, the upper 6 GHz layer can match the practical coverage of 3.5 GHz from existing macro sites. European regulatory clarity, device support and refined coexistence rules are the next critical catalysts for scale.
A new neutral host 5G deployment at 10 World Trade in Bostonโ€™s Seaport sets a practical blueprint for scalable, multi-operator indoor connectivity in Class A commercial real estate. Most mobile traffic is generated indoors, yet macro networks struggle to penetrate dense, energy-efficient buildings. The 10 World Trade deploymentโ€”delivered by Boston Global Investors (BGI) with Aspen Venue Partners and Ericsson – addresses all three pressures with a small-cell-based, neutral host design that multiple operators can share while also supporting private 5G and future network slicing. The model aligns with broader industry trends: 3GPP-based indoor systems, shared infrastructure economics, and spectrum agility that includes CBRS in the U.S.
Alphabet will invest โ‚ฌ5.5 billion in Germany through 2029 to expand AI-capable cloud infrastructure and office capacity, anchoring new buildouts in the Frankfurt Rhine-Main region. Google will construct a new data center in Dietzenbach, near Frankfurt, and continue scaling its Hanau campus opened in 2023. With Frankfurtโ€™s role as Europeโ€™s interconnection hubโ€”home to DE-CIXโ€”placement in Rhine-Main positions Google to serve latency-sensitive AI, analytics, and financial services workloads. Google Cloud will bring expanded capacity for services such as Vertex AI and Gemini models into its German regions, enabling enterprises to run training, fine-tuning, and inference closer to users and data.
SoftBank has exited Nvidia and is redirecting billions into AI platforms and infrastructure, signaling where it believes the next phase of value will concentrate. SoftBank sold its remaining 32.1 million Nvidia shares in October for approximately $5.83 billion, and also disclosed a separate $9.17 billion sale of T-Mobile US shares as part of a broader reallocation into artificial intelligence. The proceeds are earmarked for a significant expansion of SoftBankโ€™s AI portfolio, including a major investment in OpenAI and potential participation in โ€œStargate,โ€ a next-generation AI data center initiative co-developed by OpenAI and Oracle. Despite exiting Nvidiaโ€™s equity, SoftBank retains about 90% ownership of Arm.
Reliance Jioโ€™s six-plan lineup for November 2025 blends low entry pricing with AI, cloud, and OTT hooks, signaling how prepaid is evolving from pure connectivity to service-led bundles. Starting at Rs 189, Jio is segmenting prepaid users by usage intensity (voice-first, balanced data, and long-validity) while nudging them into its digital stack: JioTV for content, JioAICloud for storage, and on select offers, Google Gemini Pro for AI. As 5G coverage and usage expand, Jioโ€™s add-ons are designed to create reasons to stay on-network and upgrade. AI benefits in prepaid are rare globally; anchoring them to eligibility criteria and higher-tier 5G plans suggests an upsell path that can improve monetization without headline tariff hikes.
Anthropic will spend $50 billion on U.S.-based AI data centers, signaling a rapid new phase for domestic compute capacity with direct consequences for power, fiber, and cloud interconnects. Anthropic plans a multi-year, $50 billion program to develop custom data center campuses in the United States, beginning with Texas and New York and with additional sites to follow. The initial wave targets 2026 go-lives, with an estimated 800 permanent jobs and roughly 2,400 construction roles tied to the program.
This article investigates the future of work with AI agents, focusing on the concept of the “Green Light Zone.” The study analyzes worker desires and AI capabilities across various tasks, identifying four zones: Automation “Green Light” (where both are aligned), Automation “Red Light” (AI capable, workers don’t want it), R&D Opportunity (workers want it, AI can’t do it), and Low Priority. The study, using the WORKBank database, found that workers often want AI for low-value, tedious tasks, allowing them to focus on higher-value activities. Examples like project management, data entry, and customer service are highlighted. The article emphasizes the importance of aligning AI development with worker needs and preparing workers for evolving skills, ultimately advocating for a collaborative future where AI augments human capabilities, leading to a more efficient and fulfilling work environment.
Hewlett Packard Enterprise and seven partners have formed a global consortium to accelerate fault-tolerant, hybrid quantum computing that can be deployed alongside todayโ€™s high performance computing and semiconductor ecosystems. Dr. Masoud Mohseni of HPE Labs serves as quantum system architect, coordinating a full-stack effort to design a practically useful, cost-effective โ€œquantum supercomputer,โ€ with the near-term emphasis on hybrid integration, error-correction maturity, and manufacturability. The Alliance is structuring work around the most stubborn barriers to scale: error correction, orchestration with classical systems, and semiconductor-grade design and manufacturing. Aligning supercomputing and semiconductor leaders around a single roadmap increases the odds of reaching fault tolerance on economically viable timelines.

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