Rivian plans to bring outside AI agents into its cars

Rivian’s assistant is already a router

Rivian built its own framework to interpret what a person wants to do by voice and send the request to the relevant part of the car’s software. That can mean a simple command, such as lowering the temperature or turning on the seat heaters, or a short news summary.

Scaringe compared the system to a traffic light. The car chooses whether to use a local model or a cloud model for a more complex request. Even in the cloud, it can choose among different models.

By May this year, the assistant could access outside apps, including Google Calendar. Connecting products from leading AI companies is the next step, Scaringe said, but it will require substantial technical integration from both Rivian and the AI labs.

That boundary matters. Rivian’s own software framework can direct requests, but an outside agent would also need to bring its user context into the car. Scaringe said the car’s systems themselves would remain off limits:

“You don’t want an agent to decide, ‘It’s time to hit the brakes’ or ‘It’s time to turn the steering wheel.’ So agents aren’t given control over the car’s own systems.”

From car commands to personal context

The more ambitious use case is not asking an agent to adjust the cabin. It is carrying a conversation across devices. Scaringe suggested a driver might ask Rivian to turn on seat ventilation, then pick up a discussion about dinner plans: recall a dish discussed the night before, account for Friday’s guests, and help choose a menu. The car could draw on context from a conversation with an assistant on another device.

Possible integrations include Claude, OpenAI’s Dots, and Meta’s Muse. Rivian has built many of its own vehicle apps, including navigation, while also integrating services such as Apple Music. It has not specified which outside agents it plans to support.

Tesla has already let users interact with SpaceX’s Grok chatbot and Grok Bot earlier this year, so Rivian would not be the first U.S. automaker to put AI agents in its vehicle software.

I think the harder problem is not getting an agent into the car; it is deciding what the agent can know and do once it is there. Rivian has described a path from voice commands to cross-device context, but has not said how that context will be shared or what limits will govern outside services. The safety boundary is clear in principle: agents do not control the vehicle’s own systems. The less settled question is how much of the rest of the car—and the driver’s context—Rivian is willing to open up.