Intel

Intel detailed its first client and server products on the new 18A process, positioning the company for AI PCs and power‑efficient cloud at a time when onshore manufacturing and TCO matter more than ever. Intel previewed Core Ultra series 3 “Panther Lake,” its first client SoC line on 18A, with a multi‑chiplet design that blends new performance and efficient cores with an upgraded Arc GPU and dedicated AI acceleration across the CPU, GPU, and NPU. On the server side, Intel previewed “Clearwater Forest,” branded Xeon 6+, its next‑gen E‑core product built on 18A and targeted for launch in the first half of 2026.
A sprawling social engineering campaign tied to the Lapsus$/Scattered Spider/ShinyHunters ecosystem is extorting enterprises after allegedly siphoning close to a billion records from Salesforce customer environments. Attackers claim broad theft of personally identifiable information from organizations that use Salesforce, while the vendor states its core platform and code were not breached. Evidence points to identity-led social engineering, followed by misuse of sanctioned tools and APIs to quietly extract large data volumes. For telecom and enterprise IT, CRM data now sits on the front line of extortion economics, raising urgent questions about identity controls, SaaS hardening, and third-party risk.
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.
The CPU roadmap is strategically important because AI clusters depend on balanced CPU-GPU ratios and fast data pipelines that keep accelerators fed and utilized. Even as GPUs carry training and inference, CPUs govern input pipelines, feature engineering, storage I/O, service meshes, and containerized microservices that wrap models in production. More cores and threads at competitive power envelopes reduce bottlenecks around feeder tasks, scheduling, and data staging, improving accelerator utilization and lowering total cost per token or inference. In this lens, a 256-core Arm-based Kunpeng in 2028 would directly affect how much AI throughput Ascend accelerators can sustain per rack.
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.
MWC25 Las Vegas is the premier North American event for CIOs and IT leaders, offering real-world insights on 5G, AI, IoT, private networks, and edge computing. With industry leaders from IBM, Qualcomm, T-Mobile, and more, the event focuses on actionable strategies for enterprise transformation.
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.
Intel is spinning off its Network and Edge (NEX) division after posting a $2.9B loss, cutting 15% of its workforce, and pivoting to an AI-first strategy. The standalone NEX business will focus on networking and edge innovation, with Intel retaining an anchor investor role. The move underscores Intel’s restructuring to prioritize x86 and AI while seeking agility to compete with NVIDIA, AMD, and Broadcom in high-performance networking and 5G infrastructure.
Nokia is shifting its core focus from mobile networks to AI infrastructure and optical networking amid declining RAN revenues and financial pressures. In Q2 2025, the Network Infrastructure division surpassed Mobile Networks, driven by demand from data centers and hyperscalers. With CEO Justin Hotard emphasizing AI integration and enterprise 5G, Nokia is repositioning itself for long-term growth while maintaining its mobile presence as a strategic layer.
At THINK 2025, IBM accelerates GenAI adoption with new enterprise-ready tools—from watsonx AI agents to secure LinuxONE infrastructure and hybrid cloud automation. The company’s latest updates aim to move businesses from GenAI pilots to full-scale deployments with enhanced integration, accuracy, and performance.
Dive into our in-depth coverage of MWC 2025, highlighting the latest innovations in 5G, AI, IoT, and more. Discover how industry leaders are shaping the future of technology with groundbreaking announcements and developments unveiled during the event.

Feature Your Brand with the Winners

In Private Network Magazine Editions

Sponsorship placements open until Oct 31, 2025

TeckNexus Newsletters

I acknowledge and agree to receive TeckNexus communications in line with the T&C and privacy policy

Whitepaper
Telecom networks are facing unprecedented complexity with 5G, IoT, and cloud services. Traditional service assurance methods are becoming obsolete, making AI-driven, real-time analytics essential for competitive advantage. This independent industry whitepaper explores how DPUs, GPUs, and Generative AI (GenAI) are enabling predictive automation, reducing operational costs, and improving service quality....
Whitepaper
Explore how Generative AI is transforming telecom infrastructure by solving critical industry challenges like massive data management, network optimization, and personalized customer experiences. This whitepaper offers in-depth insights into AI and Gen AI's role in boosting operational efficiency while ensuring security and regulatory compliance. Telecom operators can harness these AI-driven...
Supermicro and Nvidia Logo
Article & Insights
This article explores the deployment of 5G NR Transparent Non-Terrestrial Networks (NTNs), detailing the architecture's advantages and challenges. It highlights how this "bent-pipe" NTN approach integrates ground-based gNodeB components with NGSO satellite constellations to expand global connectivity. Key challenges like moving beam management, interference mitigation, and latency are discussed, underscoring...
Scroll to Top