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GM to Unveil Proprietary In-Vehicle AI Assistant Later This Year

8/1/2026, 12:39:08 PM

New GM Proprietary AI Assistant

General Motors announced that it will launch a native, in-vehicle artificial-intelligence assistant later this year. The system is described as a deeper integration of conversational AI with vehicle knowledge and OnStar intelligence, aiming to go beyond the capabilities of the existing Google-based Gemini assistant. It is expected to handle functions such as climate control, radio settings, and a “kids setting” that tailors music, seat positions, heating/cooling, and door locks for child passengers.

Background: Gemini Integration

Earlier this year, GM began rolling out Google’s Gemini AI in eligible 2022-model-year and newer Cadillac, Chevrolet, Buick and GMC vehicles across the United States. Gemini allows natural-language commands, “live sessions” for conversational interaction, and basic vehicle controls, but operates primarily through a phone interface. GM’s upcoming assistant is positioned as the next step in a broader AI strategy, moving from a top-level, third-party assistant to a proprietary system built on GM-specific data.

Official Statements & Plans

Santos told CNBC that the new assistant will be “more deeply integrated” and will combine conversational AI with GM’s vehicle telemetry and predictive-maintenance data. She emphasized that the technology is being developed with an unnamed large-language-model provider to ensure the data remains proprietary to GM. The company has not disclosed a product name or detailed technical specifications at this stage.

Verbatim Quotes

  • “This is the beginning of a broader AI journey for us,” — Anna Santos, GM director of product management of voice and AI/machine learning
  • “It's data that's going to be proprietary to GM, and our goal is to make sure that we're bringing the right technology forward to enable us to build the deep vehicle expertise that we want to be able to bring to the AI assistant,” — Anna Santos, GM director of product management of voice and AI/machine learning