Here is a summary of AT&T’s rarely-heard position on private 5G, as scooped from the cutting room floor after today’s write-up about its AI grid strategy with Cisco– which is well worth a read. We will write this tomorrow, but here is a sneak peak, to give you the gist of it: private networks are important, says AT&T, but have not seen the revenue boom that was once expected – and as witnessed in Nokia’s weird about-turn, and also Verizon’s reset. So, AT&T is dialling back the hype; but it says they are a necessary capability, if not a transformational growth engine.
The firm has deals with two vendors, a big one and a small one, for big projects and small projects. It won’t say which ones, although RCR has chased again. But speculatively, Ericsson and Celona would fit the bill, as they often seem to do. Another conversation today, incidentally: enterprises are calling rivals about the longevity of their Nokia systems – or more specifically, the management of them. Anyway; AT&T is positioning private 4G/5G around specific needs: coverage gaps where macro networks fall short; situations where DAS and Wi-Fi solutions do the same.
Which is all very familiar, of course; same enterprise needs: on-prem data control, security and privacy, deterministic performance. Its go-to-market is somewhat cautious, definitely under-publicised. It has limited public references (versus Verizon, say). Its known activity includes large automotive manufacturing plants, one hybrid factory-to-field use case, and various public sector / government projects. So it may be quieter, but, as with Ericsson (versus Nokia) to an extent, and per a rush of analyst forecasts about a 2030 boom-time, plus today’s other conversation about a late pick-up in the market, maybe its timing is spot on.
It is also (much) more open to private enterprise (non-telco) licensed spectrum, as well – versus Verizon, notably, but T-Mobile, too. It would prefer to use its own, but it understands sometimes the alternative is better or preferred. So AT&T is trying to retain control and differentiation via its own spectrum, but it is absolutely pragmatic. But one thing: it (AT&T Business, now incorporating AT&T IoT) wants customers to manage private networks using the same tools as public cellular.
It specifically references IoT platforms like Control Center and Connection Manager, and implicitly suggests a bigger vision, where private networks are (inevitably from a telco-side view) an extension of the public general-purpose offering. Like 5G slices and AI grids, and whatever else. More tomorrow.
James Blackman
Executive Editor
RCR Wireless News
RCR Top Stories
AT&T at the edge: AT&T has clarified its emerging AI “grid” and IoT strategy, combining regional inference, cloud platforms, and private 5G to target enterprise use cases while testing where edge AI delivers most value.
AI mega deals: Broadcom, Google, and Anthropic have signed massive compute and silicon deals. Broadcom says the massive 3.5 GW commitment is contingent on Anthropic’s continued success and performance.
Telcos chase AI: Telcos are ramping their AI infra investments, says Omdia, but success depends on securing demand, navigating sovereignty rules, and managing rising costs as they compete alongside hyperscalers for enterprise workloads.
Agentic ISPs: Rural broadband providers are losing customer loyalty because they are competing on speed. Calix has introduced a cloud-based agentic AI platform for small ISPs to deliver differentiated services like tier-one operators.
Belgian 5G SA: Proximus has launched Belgium’s first 5G SA network, enabling network slicing and improved performance, with rollout starting in enterprise segments as Europe slowly transitions toward advanced 5G architectures.
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Beyond the Headlines
Orchestrating edge AI: In the latest episode of Beyond the Network, the hosts discuss AI from the edge to the endpoint, including a look at orchestrating distributed AI workloads across a multi-tenant infrastructure.
Samsung opens up: Samsung’s Alok Shah makes the case for O-RAN in indoor deployments, arguing open interfaces and the RAN Intelligent Controller can cut costs and break vendor lock-in.
Neoclouds rising: Neocloud providers are scaling rapidly with AI demand, says Synergy Research Group, but risks around supply, competition, and consolidation remain, and the segment must stay focused to sustain long-term growth.
Hourglass figures: Bain & Company has warned that traditional industrial control systems are losing their central role as AI and smart devices redefine the economic landscape. By 2030, AI and IoT will capture the bulk of industry profit.
AI grid arms race: Telcos are exploring Nvidia’s AI grid, but edge GPU deployment lacks a strong latency or cost case today; only physical AI use cases justify it, with gradual rollout expected toward future 6G networks.
What We're Reading
Mistral makes AI pitch: Reflective of its new status as the Euro AI master, Mistral AI has a grand proposal for sovereign AI, to go with its own customizable, open-weight models and enterprise tools; it emphasizes control, privacy, and flex.
P5G in 2030 surge: ABI Research forecasts private cellular market growth from $11bn to $54bn in 2030, driven by manufacturing, energy and logistics, with Asia-Pacific leading and large enterprises dominating adoption.
More Airtel 5G sites: Bharti Airtel has added 4,300 new 5G sites in 48 districts in Uttar Pradesh; it now serves 34 million people in urban and rural areas. The rollout, 12 sites per day, is to boosting high‑speed connectivity and digital inclusion.
CPU/GPU AI-mix: Samsung is pushing mixed CPU/GPU compute for AI. It has a blog about it, listing its milestones, including commercial vCore in Canada, “network in a server” validation in Japan, and multi-cell vRAN tests with COTS servers.
About orbital DCs: Orbital data centers are feasible but face economic challenges, with launch, hardware, and maintenance costs far exceeding terrestrial facilities. Experts say falling costs and specific use cases are needed.
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