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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.
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.
Orange Belgium confirmed a data breach in late July 2025 that compromised the SIM card identifiers and PUK codes of over 850,000 users, significantly increasing the risk of SIM-swap and port-out fraud. Although passwords and financial data were not stolen, the exposed metadata could be exploited for identity impersonation. With GDPR and NIS2 compliance in focus, telecom operators must urgently address SIM security, MFA vulnerabilities, and customer trust through stronger authentication and breach transparency.
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.
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