Ep 135 – Telco has a context problem (John Abraham)
Appledore Research's John Abraham joins DR to explain why context, not data, is the real blocker for AI at scale, and how ontologies give AI the business logic it needs to actually work.
MWC26 is a wrap, and one thing is clear: the telco industry has moved past asking whether AI will transform the business. The question now is who’s moving fast enough to capture value — and who’s still playing catch-up.
Before I left Barcelona, I stopped by the Mobile World Live podcast to debrief with host Justin Springham, Managing News Editor Kavit Majithia, and analyst Carolina Milanesi from Creative Strategies. We broke down the real story behind the agentic AI buzz at MWC, what direct-to-device satellite announcements mean for operators, and why the way teams work in 12 months will look nothing like today.
Listen now to hear:
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This episode is a special double-drop with the Mobile World Live podcast, featuring:
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Set up a meeting with our team to learn how to tap the immense business value it can bring.
Without question, agentic AI. DR called it before the show, and the word showed up in keynotes, on booth signage, and in every hallway conversation. But there was a gap between hype and action—most operators are still in exploration mode, talking about what agentic AI could do rather than deploying it. The takeaway: the technology is here now, and operators that keep watching instead of acting are falling behind. Watch DR’s Agentic AI Summit talk from MWC26.
Surprisingly, no. Despite expectations, 6G was notably absent as a dominant theme—likely to the frustration of Ericsson, Nokia, and Huawei. The conversation at MWC26 was firmly anchored in what’s deployable today: agentic AI, direct-to-device satellite, and cloud-native software. Danielle Rios’ read is that competitive advantage is shifting away from network infrastructure and toward the software and data layer on top—which is where operators need to focus now.
DR puts it in concrete terms: one person running ten AI agents—working around the clock—can generate the equivalent of 20,000 hours of work over a two-week period. That’s based on a standard 2,000-hour US work year, multiplied across ten simultaneous pipelines. This is the new pace of work, and DR is direct: you can’t fight it. Operators that embrace agentic AI as a force multiplier will outpace those that don’t. Learn how the Totogi Ontology helps Tier-1 operators turn AI into actual profit.
DR’s big-picture observation from MWC26: the telecom stack is rapidly moving up the software layer. Hyperscalers are positioning their clouds as the operating system for AI-driven network operations, and satellite networks are becoming infrastructure that telcos can source instead of build. When physical infrastructure becomes easier to outsource, competitive advantage shifts to how well operators run the business on to—BSS, data, and customer logic become either a moat or a vulnerability.
Telecom AI fails when it lacks the right context—and that’s exactly the problem the Totogi Ontology is designed to solve. It gives AI models a telecom-specific knowledge foundation, enabling Tier-1 operators to move from AI experimentation to actual business results. Appledore Research has published a report on its impact: Telecom-specific Ontology, the key to AI-native telco (paywalled), which validates the approach for operators evaluating AI-native transformation.
This episode was released simultaneously on Telco in 20 and the Mobile World Live podcast. DR joined host Justin Springham, managing news editor Kavit Majithia, and analyst Carolina Milanesi of Creative Strategies to break down MWC26’s biggest themes: agentic AI hype vs. reality, the satellite land grab, the OpenClaw/OpenAI story, and Qualcomm’s Snapdragon Wear Elite Platform.