The Agentic Carrier: How T-Mobile, Verizon & AT&T Are Reshaping Telecom with AI
How T-Mobile, Verizon & AT&T are rebuilding telecom with agentic AI — from the P&L to the satellite. A public-data, page-cited operator's + architect's view of the US wireless business (FY2022–FY2025) and how each carrier applies agentic AI to the same problem, with the governance a regulated carrier demands. Same industry, three philosophies — only one leads with growth.
About this course
For telecom PMs, transformation leads, FDEs / solutions engineers, carrier ops / care / network leaders, and AI practitioners building for or selling into carriers. Prereq: comfort with LLM basics.\n\nWhat you get: the US wireless P&L cold, a four-year (FY22–FY25) three-way comparison of T-Mobile / Verizon / AT&T, the agentic-AI value map and architecture, the frontier (self-driving network, spectrum, satellite-to-cell), and seven governed agent-skill labs — capped by defending an end-to-end deployment against a hostile CFO and a skeptical field leader.\n\nWho this is NOT for: anyone looking for vendor marketing, generic 'AI 101', or an autonomous-agent pitch. Every figure traces to a 10-K or annual report. Voice: calm, precise, operator-to-operator. Banned words: seamless, robust, unlock, leverage, cutting-edge, transformative, revolutionary. Teaching pattern for every concept: Concept → Plain English → Example (carrier data) → The Leader's Lens (when to choose it / what it costs / what breaks) → Check → Answer (with the wrong-answer trap). Honesty guardrails baked in: ARPA ≠ ARPU, read the bridge not the headline, filings under-disclose operational AI, assert only what's disclosed.
Details
Syllabus
5 units • 26 lessons • 7 projects • 5 assessments
Learning activities
Every lesson gives you several ways to learn.
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