Google's Gemini AI Is Now in Your Car: What It Means and How It Works

Google has started putting its Gemini AI assistant directly into cars from major automakers like Mercedes-Benz and Volvo. The company is adding AI to multiple places: customer service systems, the infotainment displays drivers see, and navigation tools. As cars become more software-driven — running complex software instead of just mechanical components — companies like Google are competing to control that software.

Mercedes Customer Service Gets AI

Mercedes-Benz is using Google Cloud's Automotive AI Agent, which brings Gemini capabilities into Mercedes' customer service operations. Customers can ask questions in natural language — conversational speech, not commands — about how to use car features, when maintenance is due, and how things work. The system handles both text and voice input.

The setup runs on Google Cloud's infrastructure. Google designed this partnership to work as a template for other luxury car brands that want to deploy conversational AI at scale — meaning it should be relatively easy for other companies to follow a similar path.

Gemini Inside Volvo's New Electric Car

At Google's I/O developer conference in 2025, Google showed Gemini running directly inside a Volvo EX90 electric vehicle, according to Reuters. Drivers and passengers can talk to the AI through the car's display screen to ask about navigation, adjust vehicle settings, and get information about nearby places.

This is different from Android Auto, which mirrors your smartphone's screen onto your car. Instead, Volvo is using Android Automotive — Google's operating system built directly into the car itself. The system sits deeper in the car's hardware, so it can talk directly to the car's systems and doesn't need a smartphone connected.

Google's blog described what this Gemini integration can do: the AI knows where the car is, what the traffic looks like, and what each passenger prefers. It can suggest faster routes based on real-time conditions, recommend restaurants or gas stations nearby, and answer questions — all without needing to connect to your phone.

Better Maps and Navigation

In October 2024, Google added Gemini to its Maps app, according to Reuters. Users can now ask natural language questions about places — what a restaurant is like, what's nearby, what's trending — instead of typing search terms. The AI learns from your search history and preferences to give personalized suggestions.

In cars running Android Automotive, this same feature lets passengers ask questions and hear answers spoken aloud through the car's speakers, without touching any buttons.

Tools for Developers Building Car Software

Google released tutorials and code examples for automotive software teams who want to build AI-powered apps. These tools let developers create applications that understand natural language and can analyze vehicle data — things like telemetry, customer service records, and inventory — by having people talk to them rather than using traditional interfaces.

Why This Matters

Over three decades of covering technology, I've seen successive waves of platforms — from desktop operating systems to smartphones to cloud infrastructure — eventually organize themselves around intelligent software layers that hide hardware complexity from users. The shift to AI-first interfaces in cars follows the same pattern we saw when smartphones became dominant: the platform that best abstracts the underlying complexity tends to win in the market.

The Broader Picture

Google faces a legal complication: a San Francisco AI company filed a trademark infringement lawsuit against Google in September 2024, according to Reuters, claiming prior rights to the Gemini name for AI services. Google is continuing to deploy Gemini despite the dispute.

At the same time, Google is expanding Gemini's reach into emerging markets. The company announced that India's Reliance Jio network — which serves 505 million people — would get 18 months of free access to Gemini AI Pro, according to Reuters. This could accelerate AI adoption in markets where more people are getting connected cars.

The stakes here are genuinely high. Unlike AI in your phone or laptop, automotive AI has to work reliably even when offline, handle safety-critical situations, and integrate with actual vehicle control systems. Real cars from established automakers provide testing grounds for conversational AI under these much tougher constraints. Google's partnerships signal that the company intends to compete directly with traditional automotive suppliers — the companies that have always built the infotainment systems and data-management tools for cars.

For software teams building car apps, Gemini offers a ready-made conversational AI engine without needing to develop their own. The trade-off is deeper reliance on Google's cloud services and the data-processing systems that go with it — a meaningful consideration for automakers managing customer privacy and data compliance across different countries.

The Hardware Question

Running Gemini inside the car itself requires more computing power than older infotainment systems. Cars need processors that can handle real-time responses locally while also staying connected to the cloud for software updates and tougher queries. That dual approach affects how much hardware a car needs and, ultimately, its cost.

Google's approach differs from what some automakers are trying: building their own custom AI assistants or partnering with other cloud providers. If most cars eventually run Gemini, that could speed up development for car software — everyone works with the same tools. But it might also make it harder for individual automakers to create unique experiences that set their cars apart.

The rollout suggests Google is starting with luxury brands and proven markets before expanding to mainstream cars. That strategy lets Google test in controlled conditions and build working examples that other automakers can learn from as the technology matures.