General Motors plans to launch a proprietary in-vehicle artificial intelligence system across its vehicle lineup later in 2026 [1].
The move represents a strategic shift toward owning the software layer of the driving experience. By developing its own AI, GM aims to move beyond the capabilities of third-party tools like Google’s Gemini to create a more seamless integration of vehicle-specific data.
The new system is designed to be tailored specifically to GM customers [1]. It will integrate OnStar services, vehicle telemetry, and predictive maintenance into a single interface [2]. The company intends to deploy the assistant across its entire fleet, including both future electric vehicles and traditional gas-powered models [2].
This proprietary layer allows the automaker to control how the AI interacts with the mechanical systems of the car. By leveraging internal telemetry, the assistant can provide real-time updates on vehicle health and service needs, a level of integration that is difficult to achieve with general-purpose AI assistants.
However, reports regarding the company's AI roadmap remain fragmented. Some sources said the proprietary system will arrive this year [1], while other reports said GM may instead begin integrating Google’s Gemini AI into its vehicles in 2027 [4]. There are further indications that the company is targeting 2028 for the implementation of eyes-off driving capabilities [4].
GM has previously announced the integration of Google Gemini AI specifically for Cadillac and Corvette models [5]. The push for a proprietary system suggests the company wants a unified experience that transcends individual luxury brands and integrates deeper into the vehicle's core operating system [2].
The company has not detailed the specific hardware requirements for the new AI system, though it is expected to function as a central hub for the driver's digital interactions within the cabin [3].
“GM plans to launch a proprietary in-vehicle artificial intelligence system across its vehicle lineup later in 2026”
The transition from third-party AI integration to a proprietary system indicates that automakers are prioritizing data sovereignty and ecosystem lock-in. By controlling the AI layer, GM can monetize predictive maintenance and OnStar services more effectively while gathering deeper telemetry data. The contradictions in rollout dates suggest a complex transition period where the company may use Google's tools as a bridge while finalizing its own internal software.
