Kipp Jones

Our AI-RAN Innovation Center, launched last September at our Capital Markets Day in partnership with NVIDIA, is now expanding partnerships with additional industry leaders to further expand our advancement in AI. We’re focusing on developing the ability to natively integrate AI into our network. And as we move into the 6G era, we aim to achieve the performance, efficiency, and scale necessary to bring about the next generation of experiences that are essential to both customers and businesses. https://lnkd.in/gYjBxXUD

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I'm thrilled to share that we've officially launched the T-Mobile Starlink beta! We want people -- AT&T and Verizon customers included! -- to be some of the first to try out this cutting-edge satellite service on many of the smartphones in their pockets. This is an incredible next step in our journey and with more than 451 Direct to Cell satellites in the constellation beta users can get text messaging capabilities in 500,000 square miles of the U.S previously unreachable by any traditional network. 🙌 We want to make these remote areas safer for everyone so starting today, T-Mobile Starlink will broadcast wireless emergency alerts to any wireless user with a capable device who's out of range from their provider's network but in range of our signal. See for yourself ➡️ https://lnkd.in/gdc6WC3S

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At Network X, the conversation wasn’t just about connectivity—it was about how to monetize it. From AI-driven traffic optimization to 5G backhaul, Qualcomm #Dragonwing is enabling carriers to deliver differentiated services and reduce total cost of ownership. This is the future of network economics.

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A big step forward in AI-powered communications. SignalWire just launched the first fully integrated AI telecom voice stack. This isn’t another wrapper around legacy infrastructure. It’s a native, programmable platform where AI, voice, and real-time communication actually live together. The current market is filled with high-latency, pieced-together solutions that struggle with performance at scale. SignalWire is different. By embedding AI directly into the media layer, we unlock an average of 500ms response latency across PSTN, SIP, WebRTC. This isn’t about bolting on AI. It’s about rethinking the communications stack from the ground up and making it programmable by design. https://lnkd.in/g6Viauzj

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. Eben Albertyn, EVP and CTO of EchoStar Corporation and its Boost Mobile 5G network, said the operator's open radio access network (RAN) design will make it easier for Boost to embrace AI RAN technology. "The ... thing that's important to remember about open RAN is that open RAN and what people are calling AI RAN are not competitive to each other. They're orthogonal to each other," Albertyn said during a keynote session at the Competitive Carriers Association (CCA) event in Denver Wednesday. "And because of how open RAN works and how it's been put together, it is far easier to introduce AI RAN components into open RAN than it is any other technology," Albertyn said. Albertyn did not say whether EchoStar's Boost Mobile network would deploy AI RAN technology, but he suggested that the company has been experimenting with various AI applications in its 5G network. "AI has been really kind to us. Because our core network lives in the cloud, and we're adjacent to all of these AI technologies, we're able to ingress that immediately into our network," he said. MORE: https://lnkd.in/ggFqNnhR

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Telcos, get ready for the next wave of AI adoption that is pushing inference closer to where data is generated—at the edge. Learn about building an edge inference stack, multi-tenancy needs, and a reference architecture on NVIDIA + aarna.ml. 🔗Read the blog.

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Unlike other industries #AI adoption is not going to be optional for #mobile... Credit: Sean Kinney RCR Wireless News Choi described multi-radio access spectrum sharing (MRSS) as the mechanism to govern shared spectrum across 5G, 6G, Wi-Fi, satellite-based, and other radio access mediums. “As we move toward 6G, we are entering an era where spectrum sharing, massive bandwidth, and ultra-dense deployments make…conventional, manual network management completely impossible.” AI models can predict spectrum occupancy and demand patterns based on historical and real-time data to enable proactive spectrum allocation before congestion or interference occurs. Reinforcement learning agents can continuously calibrate the optimal way to allocate spectrum across different access technologies. And AI agents, working across radio and edge sites, can autonomously balance traffic loads. “Without artificial intelligence technology, the complexity and speed required for the efficient MRSS operation in 6G would be practically unmanageable, making AI-native RAN architecture in 6G an essential foundation for the future,” Choi said. https://lnkd.in/gjzWCRBv

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Several days after this writer posted about the lopsided market narrative related to co-packaged optics (please see: https://lnkd.in/eReYuVp8), there were a couple of references to the CEO of Nvidia, Jensen Huang, stating that such a solution is not inevitable, starting with a news article (https://lnkd.in/egyNwa92). The piece quotes a supposedly contemporaneous video on a social media site in which Jensen says the following to a press outlet about working with TSMC on silicon photonics: “It’s still several years away. We should stay with copper for as long as we can, and then after that, if we must, we’ll use SiPh.” (https://lnkd.in/eRPv9RDQ). It should be noted that there are couple of comments on the post, despite the August 2025 date, questioning the timing of the statement, and it does appear that the tape was made in January of 2025. It looks like he is in Taiwan for the New Year's event. Yet, the comments are still instructive. While signing autographs, Jensen is somewhat distracted, but he is obviously providing his frank view of the technology. In stark contrast, only a few months later, at GTC 2025, he has effusive praise for SiPh and CPO, with the targeted audience also involving investment analysts. To be fair, it could be asserted that in the first case, Jensen’s comment was only for the NVLink scale-up fabric. Nevertheless, it still provides insight into his actual expectations for CPO. There is the view that was notably expressed very well by Loi Nguyen, EVP Emeritus, Optics, at Marvell Technology at the Optica Executive Forum at OFC 2025 on scale-up that Nvidia will do everything possible to cramp more GPUs in a single rack with liquid cooling and other techniques to allow them to stay with copper. He also believes that the present CPO effort is on a noncritical path in scaling out on a switch platform in which the pluggable is the primary option -- and so, essentially agrees that it will take several years more for CPO to be ready. Such a timeframe would obviously conflict with Nvidia’s quite optimistic 2026 schedule for shipment. Thus, the business narrative for CPO itself will inexorably remain on a more solid foundation compared with the actual, past realities of engineers struggling over the years to get the solution to work. There will continue to be the basic challenges with production, testing, and dependability. 

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As we head into 2026, AI isn't just accelerating, it's evolving how we build, connect, and measure impact. Check out AT&T's new blog from Andy Markus -- a favorite go-to AI expert -- where he breaks down six big AI shifts that every business should be watching closely: ✔️Purpose-built small language models (SLMs) ✔️AI-fueled coding ✔️On-demand, agent-supported apps ✔️Private, high-capacity, low latency fiber networks ✔️Telcos will offer more AI services ✔️Speed, accuracy, and cost become shared KPIs 2026 will reward leaders and teams who don't just adopt AI -- they learn how to work with it. The winners will be those who experiment, upskill, and build durable capabilities that align to business outcomes. If you're curious about the full perspective and some bold predictions, it's a great read: https://lnkd.in/giEG8EC2 Ricardo Lizarralde Laura Hardin Michael Bitsche Ray Serzanin Zoltan Labai Amber Holland Margaret Rooney-McMillen

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