Rivian plans to expand its in-car artificial intelligence capabilities by potentially integrating AI agents developed by third-party companies, including frontier AI providers, according to CEO and founder RJ Scaringe.
Speaking at TechCrunch Disrupt, Scaringe said the electric vehicle manufacturer could eventually allow its vehicles to run external AI agents alongside its own in-car assistant. Rivian recently introduced a voice-based AI assistant that allows drivers and passengers to interact with vehicle functions using natural language.
“That’s where it becomes magical,” Scaringe said onstage.
Rivian has not announced a timeline for third-party integrations. The company declined to provide further details, referring instead to its planned AI & Autonomy Day event in December.
Rivian’s In-House AI Framework
Unlike automakers that rely heavily on Apple CarPlay or Android Auto, Rivian has developed much of its vehicle software in-house, including navigation and other applications. The company has also integrated selected third-party services, such as Apple Music.
Rivian says its own agentic framework interprets what a user wants to accomplish and directs the request to the appropriate part of the vehicle’s software. Current applications include adjusting cabin temperature, activating seat heaters and summarising news.
The system can select between different AI models depending on the complexity of a request. Scaringe described the approach as a routing mechanism that determines whether a task can be handled locally or requires cloud-based processing.
Think of it as like a traffic light. So if you ask the vehicle something, it decides what model it’s going to use. It can use a local model that’s running on the edge and the vehicle. If it’s a more complex question, it can go up to the cloud. And then even for that, we have different models that we use.
As of May 2026, Rivian’s assistant could also access external applications such as Google Calendar. Integrating agents from companies such as Anthropic or OpenAI would represent a further step towards connecting the vehicle’s software with broader AI services.
Integration and Safety Challenges
Scaringe said supporting third-party agents would require technical work and coordination with AI developers to ensure their products operate correctly within Rivian’s systems.
There’s a lot of plumbing behind the scenes we have to do to make sure that that works, and it’s not just within Rivian. That’s also a lot of coordination with the labs to make sure they enable that plumbing.
Safety is a central consideration because the software would operate in a vehicle environment. Rivian intends to keep AI agents separate from safety-critical controls, including steering and braking.
You wouldn’t want an agent to determine, ‘hey, it’s time to apply the brakes, or time to steer the vehicle.’ So anything that’s vehicle-level controls are not being handed to an agent.
This approach would allow conversational AI to assist with information, planning and selected vehicle functions without giving general-purpose agents authority over fundamental driving controls.
Connecting Vehicle Functions With Personal Context
Scaringe suggested that future integrations could extend beyond conventional voice commands by allowing an assistant to use information from conversations held on other devices.
For example, a driver might ask the vehicle to activate the ventilated seats before asking for help planning a meal for guests. An integrated AI service could potentially draw on a previous conversation with the same assistant on a phone or another device.
And then simultaneously say, ‘We were talking yesterday about this meal. I’m planning to have guests over on Friday. Can you help me think through what we’re going to make?’
Such functionality would require appropriate connections between Rivian’s software, external AI services and the personal context those services retain. The company has not detailed how permissions, data sharing or privacy controls would work.
Competition in Automotive AI
Rivian would not be the first US automaker to introduce a third-party conversational AI service into its vehicles. Tesla has also integrated its Grok chatbot into its vehicle software, providing another example of how automakers are expanding voice-based interactions beyond traditional infotainment commands.
For Rivian, support for external AI agents could broaden the range of services available through its vehicles while preserving its control over the underlying software architecture. The scope and timing of any integrations remain unconfirmed, with further information potentially forthcoming at the company’s December AI & Autonomy Day event.
