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Telcos need AI agents that understand their networks. We provide the full stack to turn open models into specialized agents while keeping operators in control. AT&T, SoftBank and Indosat Ooredoo Hutchison are adopting open models for use cases like autonomous network operations and adapting them to local languages and... show more
11,725 views • 4 days ago •via X (Twitter)
12 Comments

In our 2026 telecom AI survey: • 89% of respondents said open source models and software are important to their AI strategy. • 66% said their company is actively using AI, up from 49% last year. Read the report:

Some telecom network problems don’t have a fix in the runbook. AI agents can investigate, compare fixes and test them in simulation. NVIDIA Nemotron helps agents reason through problems, while NVIDIA OpenShell controls what they can access and do. See how:

@ATT @SoftBank @indosat Ai as in "Artificial Inu"

@ATT @SoftBank @indosat local language adaptation is the underrated bit here. a network agent that only speaks english isn't much help in jakarta

@ATT @SoftBank @indosat "keeping operators in control" is doing a lot of heavy lifting there

@ATT @SoftBank @indosat How autonomous is it when operators keep control?

@ATT @SoftBank @indosat Local language support seems essential for agents operating telecom networks.

@ATT @SoftBank @indosat Hey Can I get an internship please?

@ATT @SoftBank @indosat Interesting

@ATT @SoftBank @indosat Active AI use at telcos jumped from 49% to 66% in a year, and 89% call open models core. Carriers want to own the model, not rent it. @NVIDIAAI prediction: by 2028 a major network runs a self-healing night shift, Nemotron agents fixing faults and OpenShell logging every move.

@ATT @SoftBank @indosat The local-language adaptation is a welcome detail. People running the network should be able to work with an agent in their own language.

@ATT @SoftBank @indosat Most companies don’t need the best model. They need a model they can actually control.




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