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Alphabet’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.
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.
Google has unveiled next‑generation TPU accelerators with up to a 4x performance boost and secured a multiyear Anthropic commitment reportedly worth billions, signaling a new phase in AI infrastructure competition. Google introduced new Tensor Processing Units that deliver roughly four times the performance of prior generations for training and inference of large models. Beyond speed, the design targets better performance-per-watt, a critical lever as AI energy costs surge. Anthropic has secured access to Google Cloud TPU capacity at massive scale, with reports citing availability up to one million TPU chips over the term of the agreement.
BT Group and its consumer brand EE plan to offer a Starlink-powered home broadband product focused on underserved locations where fixed-line build is constrained by terrain, sparsity, or cost. The service targets “ultrafast” downlink performance, with Starlink capable of delivering up to roughly 280 Mbps and latency in the low tens of milliseconds. Commercial availability is slated for the second half of 2026, giving BT time to industrialise ordering, installation, support, and integration into its existing product catalogue and systems. LEO fills the last 1–5% gap where full fibre is slow or uneconomic to reach.
Apple is reportedly nearing a deal to license Google’s Gemini for Siri, a move that would reshape assistant architectures and near-term AI roadmaps across devices and networks. Multiple reports indicate Apple is close to licensing a custom version of Google’s Gemini model, reportedly at a scale of around 1.2 trillion parameters, for roughly $1 billion per year. The model would power a major Siri upgrade while Apple continues building its own foundation models. The objective is clear: boost Siri’s reasoning and task execution in the near term without ceding control over Apple’s system-level integrations or search defaults.
LG Uplus is working with AWS on agentic AI that automates installation of cloud‑native network software, with early claims of up to 80% faster turn‑ups versus manual methods. LG Uplus and AWS partnered to develop an AI-driven approach that installs complex network software stacks without human intervention. The system uses Amazon Bedrock alongside AWS’s Strands-Agents SDK to orchestrate multiple cooperating AI agents. These agents are pre-trained on network design and implementation documents so they can execute the full workflow - provisioning cloud infrastructure, collecting device and network parameters, generating configurations, performing installation, and troubleshooting.
OpenAI has signed a multi‑year, $38 billion capacity agreement with Amazon Web Services (AWS) to run and scale its core AI workloads on NVIDIA‑based infrastructure, signaling a decisive shift toward a multi‑cloud strategy and intensifying the hyperscaler battle for frontier AI. The agreement makes OpenAI a direct AWS customer for large‑scale compute, starting immediately on existing AWS data centers and expanding as new infrastructure comes online. AWS and OpenAI target the bulk of new capacity to be deployed by the end of 2026, with headroom to extend into 2027 and beyond.
At SK AI Summit 2025, CEO Jung Jaihun outlined plans to expand the Ulsan artificial intelligence data center (AIDC) to 1GW-class capacity, stand up a nationwide trio of hubs (Gasan in the Seoul metro, Ulsan in the south, and a new southwest site), and take the model into Southeast Asia starting with Vietnam. The operator is also deepening technology collaborations with Amazon Web Services (AWS) on Edge AI and with NVIDIA on AI-RAN and a Manufacturing AI Cloud; it intends to buy more than 2,000 NVIDIA RTX PRO 6000 Blackwell GPUs and scale Korea’s largest GPU cluster, Haein, as core compute for industrial AI workloads.
According to the latest Speedtest Intelligence findings from Ookla, the share of states where at least 60% of tested fixed-broadband users achieve the FCC’s 100 Mbps down/20 Mbps up benchmark rose sharply between late 2024 and the first half of 2025. That count climbed from 22 states (plus Washington, D.C.) to 38 states (plus D.C.), signaling faster last‑mile networks and better in-home performance for a sizable portion of U.S. households. Progress on equity also accelerated. In the first half of 2025, 33 states reduced the performance gap between urban and rural users—while 17 saw the gap widen versus the second half of 2024.
Amazon is piloting AI-enabled smart glasses for delivery associates to streamline last‑mile workflows, adding a hands‑free heads‑up display that blends navigation, scanning, and proof‑of‑delivery into the driver’s field of view. The company is testing delivery‑specific smart glasses that use on‑device computer vision and AI to identify packages, surface hazards, and guide walking routes from the vehicle to the doorstep without requiring a phone in hand. When a van is parked, the device activates and shows the next task: find the right parcel in the vehicle, traverse complex environments like multi‑unit buildings, and confirm delivery with visual capture.
AWS experienced a major outage centered on its US-EAST-1 region in Northern Virginia, triggering cascading failures across dozens of cloud services and dependent applications worldwide. The incident began in the early hours of Monday and was initially mitigated within a few hours, though residual errors and recovery backlogs persisted through the morning in US-EAST-1. Engineering updates point to a DNS resolution problem affecting a key database endpoint (DynamoDB) alongside internal network and gateway errors in EC2, which then propagated across dependent services such as SQS and Amazon Connect. When a foundational component like DNS or an internal networking fabric falters, service discovery and API calls fail in bulk.

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