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Tokenomics - how AT&T burns through a trillion+ tokens a month (and rising), but still ...

Published

27 July 2026

Topic

opportunities

Sectors

Telecom & Connectivity

Geography

United States

Source

Read at diginomica.com

Verified

Fusion42 · 27 July 2026 · Fusion42 review

AT&T is running 100+ generative AI models in production, burning over 1 trillion tokens monthly, and has trained open-source models on AMD chipsets to achieve cost parity with proprietary alternatives. The carrier is rebuilding enterprise workflows around agentic AI and positioning fibre-edge infrastructure as critical to handling 7-9x traffic growth from AI adoption by 2035.

This Wire brief sits within Fusion42's coverage of Telecom & Connectivity. Wire is Fusion42's founder-focused intelligence feed: each story is connected to the funds and startups it names — every one with a live profile on Raise or Scout — so founders can follow the capital and the momentum behind the headline rather than just the headline itself. Wire analysis is one of the live surfaces Arthur reasons over.

◆ The Wire takeaway

If you're selling chips, training tools, or inference infrastructure to telecoms, AT&T just proved open-source models on AMD hit cost parity with proprietary stacks at trillion-token scale—and they're doing it in-house, not buying it. Your moat is now speed to production-ready models and operational efficiency, not chip exclusivity.

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Topics

Telecom & Connectivityagentic-aitoken-economicsopen-source-modelsedge-inferencenetwork-infrastructure