Telco to tech-co to AI-co (get on with it)

Home RCR Wireless News Telco to tech-co to AI-co (get on with it)

Carol, let’s play Countdown – and take four from the top and three from the bottom, and do some dodgy maths. (If you’ve lost us – because you’re not British, or you’re under 45 – then hold tight; we’ll get through. Actually, let’s take all five from the top of today’s stack – or from any number of over the past few years. Because the story is always the same, right – about telcos becoming tech-cos. Yawn. If I had a dollar for every… But here we are, early 2026, post-MWC, and every operator and every vendor has the same line about transformation. 

 

The only difference, versus 2025 or 2024, is that AI is real – or real in the data center, and almost-real outside of it (at the edge, in the hands of enterprises). So now everyone – Huawei, Softbank, TIM, True, as reported below; plus Spirent / Keysight, in a memo to telcos (which makes five) – wants to be some kind of an AI-co, basically. AI-native, ideally; AI-ready, otherwise. Same as all the enterprises they want to sell AI services to on AI networks. All of them have pillars and strategies. Softbank wants to be a “next-gen social infrastructure”.

 

Thai operator True is following an “AI-first telco-tech model”, apparently. TIM in Italy has a line about how the cloud needs the network and AI needs the cloud, and, so… what? Data has to be delivered? Well, who knew? Huawei reckons there will be a hundred billion agents – at some point, on some (presumably all) networks. Apologies; it’s just we’ve heard this before. Telecoms wants a shot in the arm; it wants new ideas and growth; it wants to be cool again. It needs to change. 

 

And Softbank has more to say, actually; it will embed AI infra inside its network to build a structural cloud edge for latency, reliability, sovereignty – for 100 billion agents, an 80/20 shift from training to inference, and a line into AI-hungry enterprises. NTT Data, one from the bottom, is doing the same. Huawei says more too – about a fatter uplink (talked about in private 5G for donkey’s years), agent-to-agent telco chatter, and new KPIs for AI QoS. There’s something there, worth chasing: the real story. Telcos must stop talking about change, and make it.

 

If you do it, it’s done – as I tell my kids about their homework. Easy to say, of course. For telcos, it is a three-way calculation: deploy AI for operations, make networks for AI, try to own the AI customer. Which, to be fair, are stories that also get told. Which brings us to two more links at the bottom of the stack: one, that a bunch of optical vendors (Ciena, Coherent, Marvell etc) are to develop open specs for AI-integrated interconnect solutions; two, that Cisco has new pluggable coherent optics for scale-across networks. 


Both are about this interconnect piece, for distributed training workloads between data centers, which RCR has been harping on about all week. Anyway, point again is that this is where the action is in AI networks, right now. Operators can talk about (infrastructure) change all they want; at some point, soon (likely between their 5G and 6G upgrades), they will have to deliver. Those that have already changed-up their fiber systems will surely be in good stead. And then the biggest challenge of all: how to front-up to enterprises as an AI-co tech-co telco. 

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James Blackman
Executive Editor
RCR Wireless News

RCR Top Stories

100 billion agents: Huawei says AI agents will transform mobile networks, driving demand for higher uplink capacity, real-time connectivity, and new service standards as the industry shifts toward infrastructure specifically designed for AI.

Softbank sets stall: Softbank’s ‘telco AI cloud’ seeks to manage AI workloads across a nationwide distributed GPU network. The architecture enables real-time physical AI by offloading complex robotics processing to the edge.

Telcos issues for AI: TIM chief Pietro Labriola (also) told MWC that networks, clouds, and AI form a single digital ecosystem – and urged telcos to fight their corner on sovereignty, governance, and new technology cycles.

‘Four big moves’: Thai operator True has a new strategy based on ‘four big moves’: customer experience, AI deployment, digital services, and workforce skills. Like everyone, the firm wants to be more than just a telecom provider.

Telcos must lead: Operators have a chance to claim a central role in the AI economy, says Spirent (now part of Keysight). To seize it, they must move beyond connectivity and deliver trusted, high-performance AI infrastructure and services.

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Beyond the Headlines

Telco AI and KPIs: Agentic AI, sustainability mandates, edge-native infrastructure, and AI-augmented workforces are reshaping how operators run networks and serve customers, says enterprise software company IFS.

Singapore AI push: Bridge Data Centers is to invest up to S$5 billion to expand AI data centers in Singapore, while also exploring hydrogen and nuclear energy options to support rising regional demand for compute infrastructure.

Agents of chaos: Enterprises are scrambling as AI workloads splinter across the cloud-edge landspace. Equinix reckons the answer is in neutral interconnection hubs to orchestrate distributed infrastructure, and bring inference closer.

About AI infra: Get the latest on AI infrastructure – courtesy of Susana with the AI Infrastructure newsletter (fron RCR Tech); yesterday’s edition, still hot, discusses AI the impact on electricity costs, polarised between lower rates and regional bias.

Trump deadline: The March 11 deadline passed for US agencies to act on Trump’s AI order, requiring the Commerce Department to evaluate state AI laws deemed “onerous” – raising uncertainty and potential federal‑state clashes over AI policy.

What We're Reading

Open CPX MSA: Optical vendors Ciena, Coherent, Marvell, Molex, Samtec, and TeraHop have formed the Open CPX MSA to advance standards for co-packaged optical interconnects, required for next-generation AI data centre infrastructure.

Nvidia AI factories: NTT Data has announced Nvidia-powered “AI factories” to help enterprises operationalize AI. The platform is geared to support full-stack AI projects, enabling enterprises to accelerate adoption and measure returns.

Cisco AI optics: Cisco has new optical networking gear to support AI traffic growth. Updates include the Open Transport 3000 line system and higher-density NCS 1014 platforms – designed to increase fiber capacity, efficiency, scalability.

Singtel AI fund: Singtel venture arm Innov8 has launched a $250 million AI fund for high-growth AI startups. It aims to accelerate AI adoption across Singtel’s operations by backing tech that can be integrated into its networks and services.

Simpler private 5G: Antevia and Benetel have a deal to integrate the former’s 5G SHIFT platform with the latter’s open RAN radios with a mission to accelerate scalable private 5G deployments for mission-critical enterprise environments.

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