OpenAI

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.
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.
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.
SK Telecom has been named OpenAI’s exclusive B2C partner among Korean carriers as OpenAI opens its Korea office, signaling an aggressive push to scale consumer AI access and localize go-to-market in a strategically important market. The two companies unveiled a promotion for ChatGPT Plus, giving new or returning subscribers who purchase one month two additional months at no cost. While the immediate focus is consumer-facing, SK Telecom indicates the partnership will extend toward business services and potential collaborations across the broader SK Group.
The U.S. Federal Trade Commission has initiated a broad 6(b) study into consumer-facing AI companion chatbots, focusing on risks to children and teens and the governance controls companies have in place. The agency issued orders to seven firms operating at the center of generative AI and social platforms: Alphabet, Character Technologies (Character.AI), Instagram, Meta Platforms, OpenAI, Snap, and xAI. Under its Section 6(b) authority, the FTC is seeking detailed information on how these providers design, test, deploy, and monetize AI companions, and how they limit harms to children and adolescents. The Commission’s vote to proceed was unanimous, signaling cross-party attention on youth safety in AI.
Microsoft is preparing to license Anthropic’s Claude models for Microsoft 365, signaling a multi-model strategy that reduces exclusive reliance on OpenAI across Word, Excel, Outlook, and PowerPoint. According to multiple reports, Microsoft plans to integrate Anthropic’s Claude Sonnet 4 alongside OpenAI’s models to power Microsoft 365 Copilot features, including content generation and slide design in PowerPoint. This is a notable pivot from a single-model default to a best-of-breed approach that routes tasks to the model that performs best for a given function. For enterprises, especially in regulated and mission-critical domains like telecom, the shift implies more resilience, better accuracy for specialized tasks, and new options to optimize for quality, cost, and latency.
OpenAI is reportedly partnering with Broadcom to bring a custom AI accelerator into mass production next year, a move aimed at cost control, supply assurance, and tighter hardware–software integration. The reported partnership points to OpenAI deploying its own chips internally rather than selling them, following the playbooks of Google (TPU), Amazon (Trainium/Inferentia), Microsoft (Maia/Athena), and Meta (MTIA). AI training and inference costs remain stubbornly high as model sizes, context windows, and user demand surge. Custom silicon can shift the cost curve by optimizing for specific workloads, improving energy efficiency, and reducing total cost of ownership across compute, memory, and networking.
Mistral AI’s new $14B valuation cements its role as a European AI powerhouse. As data sovereignty, GDPR, and the EU AI Act drive demand for open, governable AI, Mistral’s multilingual models and telco-friendly deployments position it at the center of sovereign AI adoption. From edge inferencing to RAN automation, European telcos and enterprises are rethinking AI stack choices.
Apple’s fall software updates introduce admin-grade switches to govern how corporate users access ChatGPT and other external AI services across iPhone, iPad, and Mac. Apple is enabling IT teams to explicitly allow or block the use of an enterprise-grade ChatGPT within Apple Intelligence, with a design that treats OpenAI as one of several possible external providers. Practically, that means admins can set policy to route requests either to Apples own stack or to a sanctioned third-party provider, and disable external routing entirely when required.
Fresh polling signals rising public concern that AI could upend employment, destabilize politics, and strain social and energy systems. A recent Reuters/Ipsos survey of 4,446 U.S. adults found that 71% worry AI will permanently displace too many workers. Seventy-seven percent of respondents fear AI will fuel political instability if hostile actors exploit the technology. The poll also shows broad worry about AIs indirect costs: 66% are concerned about AI companions displacing human relationships, and 61% are concerned about the technology’s energy footprint. Bottom line: Public concern is high, and that increases the cost of missteps.
SoftBank will invest $2 billion in Intel, taking roughly a 2% stake at $23 per share and becoming one of Intels largest shareholders. It is a financial vote of confidence in a company trying to reestablish process leadership, scale a foundry business, and convince marquee customers to commit to external wafer orders. SoftBank has been assembling an AI supply-chain franchise that spans IP, compute, and infrastructure. It owns Arm, agreed to acquire Arm server CPU designer Ampere Computing, injected massive capital into OpenAI, and aligned with Oracle under the Stargate hyperscale AI initiative backed by the current U.S. administration.

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