Waymo adds Gemini to its custom Ojai vehicles as an in-car AI assistant

Waymo is bringing Google’s Gemini artificial intelligence assistant into the cabin of its custom Ojai self-driving vehicles, aiming to make rides feel more interactive without changing how the car navigates. In a new announcement, the company said Gemini will be available as an in-car assistant that riders can activate when they want help with everyday tasks or questions during the trip.

According to the company, the Waymo Driver, which is responsible for safely navigating the vehicle, will operate independently of Gemini. The new integration is designed so that Gemini stays inactive until a rider chooses to engage it, separating the assistant’s role in conversation from the system that performs driving.

To use the feature, Waymo said riders can press a Gemini icon on the vehicle screen and communicate by voice. Commands can be used to control in-cabin functions, and Gemini can also answer questions or help with context about the surroundings.

Waymo provided example requests to illustrate the assistant’s capabilities. It said a rider can ask Gemini to “turn the A/C to 65,” request help finding a nearby coffee shop, or ask about the history of a monument the vehicle is passing.

Waymo said the assistant remains dormant when not selected by the rider, positioning Gemini as a tool for targeted, user-initiated interaction rather than an always-on feature. That approach is intended to let riders get information and control while preserving a clear boundary between conversational assistance and vehicle driving.

The update also underscores the growing push in autonomous-vehicle and mobility platforms to add “in-ride” services, not just navigation. As Waymo Driver technology handles route planning and safe movement, an assistant like Gemini can cover the everyday gap between a transportation service and a personalized experience.

On the technology side, Gemini is Google’s large language model-based assistant that can understand and respond to natural-language requests. Waymo’s description frames the in-vehicle use case as a hands-free interface, where riders can ask for directions to amenities, get answers about what they see, or adjust comfort settings through speech.

What is not spelled out in the announcement is as important as what is included. Waymo did not specify which markets or vehicle batches will receive the integration first, whether the feature requires a specific rider account or enrollment, or how Gemini handles safety-critical topics. The company also did not discuss language support, accuracy testing, or how the system distinguishes between rider requests and information relevant to the ride.

For riders and the broader industry, the next question is how quickly Gemini’s role expands from examples like comfort controls and local discovery to a wider set of in-cabin utilities. Observers will likely watch for details on deployment scope, user experience feedback, and whether the assistant’s capabilities evolve across Waymo’s fleet without interfering with the Waymo Driver’s core task of safe driving. In the meantime, the company is indicating that personalization is becoming a key part of the autonomous-rides value proposition.