When you see why your BSS vendor won’t go AI-native—and how many problems that leaves on your plate—you’ll know why you need an alternative.
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Why Your BSS Vendor Won't Build AI-Native

 

BSS vendors are all executing the same AI playbook: bolt it on and call it innovation. They won’t rebuild as AI-native because it would kill billions in professional services revenue.

 

The problem for you: bolt-on AI doesn’t solve your hardest challenges. It makes them worse. You still can’t swap BSS modules, launches still take months, and now your AI is learning noise from systems where “subscriber” has 17 different definitions.

 

True AI-native architecture fixes the problem with semantic consistency—and that’s what we built with BSS Magic. In 48 hours, at The AI-Native Telco Forum in Düsseldorf, we’re proving it works.

 

Read my new blog post to understand why legacy vendors won’t go AI-native and what that means for your ability to compete.

 

Ep126 Gabriela Styf Sjoman BT Promo

Episode 126

AI for networks and networks for AI

 

If you’re a telco exec struggling to get value from AI investments, this one’s for you. I talk with BT Group’s Gabriela Styf Sjöman, Managing Director of Research and Network Strategy, about the operator’s dual AI strategy: “AI for networks,” or using AI for internal ops, and “networks for AI,” to support customers’ AI workloads.

 

We discuss why “best network” marketing is dead, how telcos need better customer segmentation beyond consumer vs. enterprise, and why the biggest barrier to AI adoption isn’t technical capability—it’s cultural change. Listen now to hear how BT Group cuts through the noise with a simple framework for technology decisions.

 

LISTEN NOW: Apple Podcasts, Spotify, YouTube, TelcoDR website

What I am doing-1

TelecomTV’s AI-Native Telco Forum hits Düsseldorf October 23-24. Totogi is an Associate Partner, and we’re doing something most conferences won’t: live-coding BSS functionality using AI and Totogi’s BSS Magic ontology. This is no canned demo. It’s actual development in front of an audience to prove you don’t need years to build telco software anymore. We’re building real functionality live because the only way to prove AI works in BSS is to actually ship code. What are we building? Find out Thursday what epic challenge we’ve set for ourselves. I’ll be on the “Concept to Reality” panel setting the stage before our AI engineer shows what'’s possible. Can’t make the show? DM me on LinkedIn or X!

Moves in the cloud-1

A Bloomberg graphic mapping AI financial interconnections went viral. It shows NVIDIA investing up to $100 billion in OpenAI, which has committed to buying millions of NVIDIA chips, while inking a $300 billion Oracle deal for data centers filled with... more NVIDIA chips. (Here’s the paywalled Bloomberg article.) Morgan Stanley noted OpenAI represents $330 billion of the $880 billion in future contracts tied to Microsoft, Oracle, and CoreWeave—meaning 66% of Oracle’s and 40% of CoreWeave’s growth depends on OpenAI’s stability. The parallels to Cisco’s 1990s vendor financing—lending money to telecom equipment buyers before the dot-com crash—are hard to ignore. There’s real technology solving real problems here, but when your customers are also your investors and suppliers, one failure could cascade. For telcos doing joint ventures with NVIDIA, investing in OpenAI/Anthropic, or building sovereign AI data centers: when you buy this infrastructure, you’re also buying into the circular financing web. If OpenAI implodes from pending copyright litigation, your AI partnership strategy implodes with it. Diversify your AI vendor relationships now, or prepare to explain to your board why your big bet was on a house of cards.

 

Google announced a $15 billion investment over five years to establish its first AI hub in India—its largest investment in the country and biggest AI hub outside the US. The 1-gigawatt facility will feature Google’s custom TPUs, fiber-optic networks, and partnerships with AdaniConneX and Bharti Airtel. This signals what's coming globally: sovereign AI data centers will proliferate as countries demand local infrastructure. If you're a telco exploring this space, partnering with hyperscalers who actually know how to run massive data centers at scale makes more strategic sense than jumping into bed with NVIDIA and figuring out operations as you go. Hyperscalers have been doing this for decades—let them handle the infrastructure complexity while you focus on connectivity and localization.

 

The AI-will-destroy-the-planet narrative needs an update. Wharton professor Ethan Mollick notes Google reports AI energy efficiency improved 33x in a year. Training models still burn power, but per-prompt usage is now on par with a 2008 Google search. It’s a similar story with water: US data centers use 50-628 million gallons daily, which Mollick points out is “a lot less than golf.” We’ve normalized watering desert fairways for recreation while panicking about infrastructure generating trillions in economic value. If you’ve been holding off on AI implementations because of environmental concerns, maybe you’re using sustainability as cover for transformation anxiety. The efficiency curve is bending fast, with per-prompt costs dropping while your legacy systems still guzzle power running batch jobs from 2015. Stop waiting for perfect environmental optics and start asking whether delaying AI adoption is costing you more than the electricity ever will.

 

Verizon abruptly replaced CEO Hans Vestberg with Dan Schulman effective immediately, shocking analysts who expected Consumer Group chief Sowmyanarayan Sampath—who’d been doing investor conferences as the presumed heir—to get the job. Schulman takes over with a mandate to “revive growth” at a carrier that’s “fallen behind rivals” and must “redefine our trajectory.” Here’s the lesson for telco execs: you can't play it safe, avoid bold decisions, and expect to keep your job. Leadership means taking risks and making changes, not status-quo management while competitors pass you by. 

 

Bermuda-based Paradise Mobile announced its Net Promoter Score reached +47 in Q3 2025, more than tripling from +15 at launch in early 2024. The operator credits the network expansion, simplified pricing, and improved support it has done at the request of subscribers. Not only is this solid progress, but +47 beats the global telecom average of +31. And Paradise still has runway. Apple—considered best-in-class for customer experience—scores +61 to +72. Could it be that customers reward carriers who actually listen to them instead of forcing Byzantine pricing and IVR hell? Paradise proves you don’t need massive scale to improve. Just stop making things complicated and start fixing what customers complain about.

 

Former FCC Chairman Ajit Pai commemorated a recent milestone: On October 13, 1983, Ameritech Mobile launched America’s first commercial cellular service from Chicago’s Soldier Field. Early adopters paid $3,000 for handsets plus $50 monthly and 40 cents per minute for daytime calls. Adjusted for inflation, that’s roughly $9,750 for the phone and $162 monthly in today’s dollars—and that’s before making a single call. Back then, cellular was genuinely innovative and priced for early adopters who needed mobility enough to pay these insane prices. Fast forward 42 years: we’ve achieved true democratization with nearly everyone able to afford a phone and plan, but we’ve also become completely commoditized. The innovation premium is long gone. You’re now competing on price and experience alone. Paradise Mobile gets it. How do you compare? 

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