The agreement states that personal data collected across all categories described in the notice may be used to train artificial intelligence models, with examples including network improvement and customer service enhancement.
This analysis describes what T-Mobile's agreement states, permits, or reserves. It does not constitute a legal determination about enforceability. Regulatory applicability and practical outcomes may vary by jurisdiction, enforcement context, and individual circumstances. Read our methodology
This provision establishes AI model training as a stated purpose for personal data use across all collected data categories, without specifying which categories are excluded from AI training or what separate consent conditions, if any, apply to this use beyond those governing the underlying collection purpose.
Interpretive note: The provision does not specify which data categories are excluded from AI training use, what consent conditions apply separately to AI training, or whether Privacy Dashboard opt-outs limit AI training use, creating ambiguity about the effective scope of consumer control.
Under this clause, personal data T-Mobile collects for service delivery, advertising, and other stated purposes may also be applied to AI model training. The agreement does not specify a separate opt-out mechanism specific to AI training uses, meaning management of this use would depend on the broader Privacy Dashboard controls or data deletion requests.
Cross-platform context
See how other platforms handle AI Model Training Data Use and similar clauses.
Compare across platforms →"We use personal data to provide, develop, customize, and personalize products and services, including to train artificial intelligence models (e.g., to improve our network, enhance customer service, etc.).Excerpt from T-Mobile's Privacy Policy
1) REGULATORY LANDSCAPE: The use of personal data for AI model training engages state comprehensive privacy laws, including the CCPA and its implementing regulations, which impose purpose limitation and secondary use disclosure requirements.
Enforcement risk, jurisdiction flags, contract triggers, and due diligence action items.
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This provision establishes AI model training as a stated purpose for personal data use across all collected data categories, without specifying which categories are excluded from AI training or what separate consent conditions, if any, apply to this use beyond those governing the underlying collection purpose.
Under this clause, personal data T-Mobile collects for service delivery, advertising, and other stated purposes may also be applied to AI model training. The agreement does not specify a separate opt-out mechanism specific to AI training uses, meaning management of this use would depend on the broader Privacy Dashboard controls or data deletion requests.
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