Rivian plans to let its electric vehicles run AI agents built by outside companies like Anthropic. Founder and CEO RJ Scaringe said so onstage at TechCrunch Disrupt this week, according to TechCrunch AI. “That’s where it becomes magical,” he said. He didn’t give a date, and Rivian declined to share more. The company pointed instead to its “AI & Autonomy Day” event in December.
🚗 The Quick Take
- What: Rivian’s cars will be able to run third-party AI agents, such as Claude, OpenAI’s Dots or Meta’s Muse, on top of the company’s own voice assistant.
- Who: Rivian, working with frontier AI labs. Anthropic is the only one Scaringe named.
- When: No timeline yet. Expect more details at Rivian’s December event.
- What agents won’t do: Brake, steer or touch any other vehicle-level control.
- Why it matters: The car becomes one more place your AI assistant follows you, carrying the same memory and context it has on your phone or laptop.
🧠 How Rivian’s System Works Today
Rivian recently launched an AI assistant that lets drivers and passengers control the vehicle by talking to it. Behind it sits an agentic framework Rivian built in-house. The framework figures out what the person wants and sends the request to the right part of the car’s software.
Scaringe compared it to a traffic light. “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,” he said.
In plain terms:
- Simple requests like lowering the temperature or turning on the seat warmers run on a small model inside the car. That’s fast and works without a connection.
- Harder questions go to more capable cloud models.
- External apps such as Google Calendar have been connected since May.
Adding agents from the frontier labs is the next step on that path.
🔧 Why Rivian Can Do This and Others Can’t Easily
Rivian built its in-car software from scratch instead of relying on Apple CarPlay or Android Auto. It also wrote many of its own apps, navigation included, and still added popular ones like Apple Music.
That choice pays off here. When you own the whole software stack, you decide which agents get in and how they connect to the car. Automakers that hand the dashboard to Apple or Google mostly get whatever AI those platforms ship.
Scaringe was clear that it won’t be simple. “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,” he said.
🛑 The Safety Line
This is the most important part of the announcement. Agents stay away from driving.
“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,” Scaringe said.
That’s the right call. General-purpose language models still make mistakes and can be manipulated with crafted inputs. Keeping them separate from safety-critical systems is a basic requirement, and every automaker heading this way will face the same question.
💬 What It Would Look Like in Practice
Scaringe described it as an extension of how people already use these assistants. The car taps into the context that apps like Muse have already built up about you.
His example: a driver asks the car to turn on the ventilated seats. In the same breath, they 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?” The car picks up that earlier conversation from another device and keeps going.
What stands out here is the bet on continuity. Rivian isn’t trying to build the smartest assistant on its own. It wants to be a good place for the assistant you already use.
📊 Context: Tesla Got There First
Rivian won’t be the first American automaker to put AI agents in its cars. Earlier this year, Tesla added a feature that lets owners talk to Grok and to its Grok Bot assistant.
The approaches differ, though. Tesla stuck with one in-house AI. Rivian is pitching an open setup where several labs’ agents can plug in. If that works, choosing a car could start to look like choosing a phone, where the AI you like is part of the decision.
🔮 What to Watch
- December’s AI & Autonomy Day: Look for launch partners, a timeline and whether Anthropic is officially on board.
- Privacy terms: Sharing context across devices means personal data moves between the car and outside labs. How Rivian handles consent will matter.
- Other automakers: If Rivian ships this, expect pressure on companies that rely on CarPlay and Android Auto to explain their own AI plans.
AI labs are trying to put their assistants on every screen people use, and Rivian is offering its dashboard as the next one. Full details are in the original TechCrunch AI report.