Microsoft

The new AT&T IoT Marketplace turns complex IoT procurement and lifecycle management into a catalog-driven digital experience that aims to speed revenue and reduce operational friction for enterprises and partners. AT&T, working with Ericsson, introduced a digital eCommerce platform that unifies how IoT services are discovered, configured, contracted, provisioned, and billed. The Marketplace is powered by Ericsson’s Digital Experience Platform alongside its Catalogue Manager and Order Care components. AT&T reports it has cut the time it takes to order certain fleet management services from hours to minutes, an indicator of the step-change in operational efficiency the Marketplace is designed to deliver.
OpenAI is reportedly preparing a standalone app for its next-gen video model, positioning AI-only short video as a consumer format in its own right. The app reportedly delivers a vertical feed with swipe navigation, reactions, and remixing familiar mechanics that lower friction for discovery and creation. Every clip is generated by Sora 2 rather than uploaded, with current limits around 10 seconds per video. A recommendation engine powers a personalized “For You” experience, aligning with how short-form attention is won and retained today. A notable feature is identity verification tied to likeness usage. Expect provenance signals and watermarking frameworks (for example, C2PA-style manifests) to become table stakes for platforms that remix human likeness at scale.
ChatGPT users in the U.S. can now buy from Etsy sellers without leaving the conversation, with more than a million Shopify merchants “coming soon.” The feature, called Instant Checkout, is available to logged-in Free, Plus, and Pro users. It supports Apple Pay, Google Pay, Stripe, and credit cards. The flow is simple: ask for ideas, get curated products with images, prices, and reviews, tap Buy, confirm shipping and payment, and the merchant fulfills the order using its existing systems. Brands like Glossier, Skims, Spanx, and Vuori are expected to be part of the broader Shopify rollout.
Databricks is adding OpenAI’s newest foundation models to its catalog for use via SQL or API, alongside previously introduced open-weight options gpt-oss 20B and 120B. Customers can now select, benchmark, and fine-tune OpenAI models directly where governed enterprise data already lives. The move raises the stakes in the race to make generative AI a first-class, governed workload inside data platforms rather than an external service tethered by integration and compliance gaps. For telecom and enterprise IT, it reduces friction for AI agents that must safely traverse customer, network, and operational data domains.
HUMAIN, a Saudi PIF-backed AI company, introduced Horizon Pro, an “agentic AI” PC built on Qualcomm’s Snapdragon X Elite, positioning it as a new class of Windows laptop where on-device AI drives workflows, decisions, and user interaction. At Qualcomm’s Snapdragon Summit in Maui, HUMAIN CEO Tareq Amin unveiled the Horizon Pro PC and the company’s agentic software layer, Humain One, which runs on top of Windows 11 and is slated for formal launch at the Future Investment Initiative in Riyadh.
OpenAI plans five new US data centers under the Stargate umbrella, pushing the initiative’s planned capacity to nearly 7 gigawatts—roughly equivalent to several utility-scale power plants. Three sites—Shackelford County, Texas; Doña Ana County, New Mexico; and an undisclosed Midwest location—will be developed with Oracle following their previously disclosed agreement to add up to 4.5 GW of US capacity on top of the Abilene, Texas flagship. Two additional sites in Lordstown, Ohio and Milam County, Texas will be developed with SB Energy, SoftBank’s renewables and storage arm. OpenAI also expects to expand Abilene by approximately 600 MW, with the broader program claiming tens of thousands of onsite construction jobs, though ongoing operations will need far fewer staff once live.
New analysis from Bain & Company puts a stark number on AI’s economics: by 2030 the industry may face an $800 billion annual revenue shortfall against what it needs to fund compute growth. Bain estimates AI providers will require roughly $2 trillion in yearly revenue by 2030 to sustain data center capex, energy, and supply chain costs, yet current monetization trajectories leave a large gap. The report projects global incremental AI compute demand could reach 200 GW by 2030, colliding with grid interconnect queues, multiyear lead times for transformers, and rising energy prices.
Lumen is accelerating a multi-year, multi-billion-dollar expansion of its U.S. backbone to match the explosive rise of AI-driven traffic. The company plans to add 34 million new intercity fiber miles by the end of 2028, targeting a total of 47 million intercity fiber miles. In 2025, Lumen has already added more than 2.2 million intercity fiber miles across 2,500+ route miles, with a year-end target of 16.6 million intercity fiber miles. Network capacity grew by 5.9+ Pbps year-to-date, and Lumen earmarked more than $100 million to push 400Gbps connectivity across clouds, data centers, and metros—now covering over 100,000 route miles with 400G-enabled transport.
OpenAI and NVIDIA unveiled a multi‑year plan to deploy 10 gigawatts of NVIDIA systems, marking one of the largest single commitments to AI compute to date. The partners outlined an ambition to stand up AI “factories” totaling roughly 10GW of power, equating to several million GPUs across multiple sites and phases as capacity and supply chains mature. NVIDIA plans to invest up to $100 billion in OpenAI, with tranches released as milestones are met; the first $10 billion aligns to completion of the initial 1GW. The first waves will use NVIDIA’s next‑generation Vera Rubin systems beginning in the second half of 2026.
African AI Compute Is Moving Local. Telecom operators and digital infrastructure players are racing to stand up AI-grade capacity on the continent as demand, latency, and data-sovereignty pressures converge. MTN Group is negotiating with US and European partners to co-invest in AI-ready facilities and offer capacity to enterprises across multiple African markets. Cassava Technologies is accelerating its sovereign cloud strategy with five AI-focused facilities slated across key African markets in the next 12 months. Earlier this year, Cassava partnered with Nvidia to launch an AI data centre in South Africa powered by the chipmaker’s GPUs, establishing a reference for accelerated infrastructure on the continent.
Gartner’s latest outlook points to global AI spend hitting roughly $1.5 trillion in 2025 and exceeding $2 trillion in 2026, signaling a multi-year investment cycle that will reshape infrastructure, devices, and networks. This is not a short-lived hype curve; it is a capital plan. Hyperscalers are pouring money into data centers built around AI-optimized servers and accelerators, while device makers push on-device AI into smartphones and PCs at scale. For telecom and enterprise IT leaders, the message is clear: capacity, latency, and data gravity will dictate where value lands. Spending is broad-based. AI services and software are growing fast, but the heavy lift is in hardware and cloud infrastructure.
Tens of billions in new US tech commitments are set to reshape the UK’s data center footprint, power needs, and network design over the next four years. Microsoft plans to deploy $30 billion into UK AI infrastructure, its largest commitment in the country, split between new-build capacity and financing via partners such as Nscale. Alphabet added roughly £5 billion for AI research and infrastructure over two years and opened a new data center campus in Hertfordshire. These moves sit under a broader US-UK “Tech Prosperity Deal” announced during a state visit, spanning AI, quantum, and nuclear cooperation. The overall vector is clear: more compute, closer to UK users, on a faster timeline.

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