Q2 2026 feels like the breakthrough quarter for US telcos, maybe. We need to take another look at their European counterparts, and consider also different contexts. But having spent a bit of time with AT&T, T-Mobile, and now Verizon, there seems to be a pattern. The old telco story is improving: their investments are paying off, their subscriber additions look good, their churn is down, their margins are healthier. They are all talking about sharper pricing discipline, as well – versus expensive promotions for speculative acquisition.
And tellingly, they are not talking so much about AI just as a tool to automate their networks or improve their services. They are increasingly, and more confidently, positioning themselves as infrastructure providers for the AI economy. Some of this is prep-work, of course; all the mobile access build-out in metro regions, including purchase of new spectrum, is about putting AI to work at the edge, and mostly on the move – some time in 2027/28, and probably later. But those of them with proper fiber footprints – AT&T and Verizon, notably – are seeing quicker gains.
AT&T was interesting last week, talking about how to orchestrate 43 billion daily inference tokens between telco-geared language models in its IT ecosystem. It sounded like novel thinking, and right-headed. But the discussion that attended Verizon’s Q2 scores, actually from Friday (July 24), talked about the real fiber plumbing for AI – in ways the likes of Lumen, Zayo, and others have harped-on about for several quarters, at least. So it was good for Verizon, and probably good for all diversified mobile carriers, to hear about its $1 billion DCI deal with Google.
More than that, and maybe just to convince investors that AI will drive a new growth cycle, Verizon chief Dan Schulman went so far as to say that such deals will stack up in 2027, and create a new multi-billion-dollar revenue stream over the next five to ten years. Margins from its AI Connect portfolio – not just from mega-sized DCI projects, but also metro fiber, metro/edge data centers, and sundry edge services (including slicing and private 5G); all bundled and orchestrated as a programmable enterprise layer – will be “equal to or greater” than existing connectivity lines.
What is the quote from Schulman? “This is a very different revenue growth profile than Verizon has had in a very long time.” So a good second quarter, then, which might just herald a good couple of years, at least, for telcos – maybe not enough to post the kind of double-digital growth that the likes of AMD et al, higher up the AI stack, have been recording quarter after quarter, but enough to look like proper propulsion. Because AI needs networks, of some sort, just as it needs chips and models – and increasingly so as AI workloads leave the data centers. We will see.
James Blackman
Executive Editor
RCR Wireless News
RCR Top Stories
Big DCI deal: Verizon says its turnaround is quickening, but its big opportunity lies with AI infra – connecting data centers, metro centers, edge premises; starting with a big Google DCI deal already, and with more to come in 2027.
Telco AI wave: AT&T says agentic AI will reshape network traffic, but argues its fiber, edge and wireless investments already position it for the shift. It is optimizing for upstream, low-latency inference while using AI to automate network ops.
SKT goes hyperscale: SK Telecom has created SK Hyper to spearhead a planned 15GW AI data center portfolio, committing KRW 750 billion through 2030 to accelerate South Korea’s AI infrastructure expansion and commercialization.
10 years for HCF: HKT’s hollow-core fiber AI ‘superhighway’ highlights the tech’s promise for ultra low-latency DCI networks, but analyst CRU Group says costs, ecosystems, and production mean at-scale adoption is years away.
Big AMD deals: AMD’s twin deals with Anthropic and Cerebras signal a shift from selling AI chips to supplying complete AI infra. By pairing GPUs with inference hardware, AMD is positioning itself as Nvidia’s strongest challenger
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Beyond the Headlines
AI penny-drop: AT&T is processing 45bn tokens per day. But its breakthrough is not bigger language models, but smarter orchestration. As inference becomes a network workload, it points to how AI will scale efficiently and economically.
Agentic takes: Rakuten Mobile’s chief data and AI officer explains how the operator turns network data into measurable outcomes, from cutting card fraud 33% to saving nearly a billion yen yearly through autonomous RAN energy efficiency.
Spectrum supercycle: The US is prepping another multi-billion 5G spectrum windfall, pairing a 2027 upper C-band auction with a 2028 2.7 GHz sale, while the FCC has also rebuilt satellite LEO licensing. Meanwhile, in the UK…
AI vs telco drift: Blue Planet’s new configuration management platform is puzzle-piece in the autonomous-networks jigsaw – and a part of the big telco story about reliability and trust, as they purse developing roles in AI value chain.
From push to pull: Physical AI is changing the private 5G dynamic, as industrial enterprises – and their physical tech providers – are increasingly pulling private 5G into factories, plants, and supply chains
What We're Reading
Building momentum: Verizon gathered pace in Q2 as consumer adds, margins, and cash flow accelerated – for its strongest consumer quarter in five years. Raised guidance and AI infra revenues say its strategy is moving from recovery to growth.
Restoring growth: Similar to above; but earlier in its reboot cycle. Vodafone’s restructuring is beginning to deliver. Broad-based revenue growth, stronger profitability, and upgraded guidance suggest its turnaround is gaining traction.
Unlocking value: Liberty’s broadband momentum has improved in Europe as it advanced its Ziggo spin-off, recycled infra assets, and put focus on shareholder value. But more about strategic execution than subscriber growth.
Powering demand: Intel has its strongest revenue growth in 15 years as AI demand accelerated across data centers, foundry, and advanced packaging. Expanding margins and heavier investment say its riding the AI tailwinds.
Edge AI jumps: The edge AI software market is set to jump as enterprises adopt real-time intelligence, local data processing, and low-latency apps. The sector is forecast to reach around $8.9 billion by 2030, driven by IoT, privacy and 5G.
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