Renault introduces AI-driven RMC BFM Drive in-car radio

Renault and RMC BFM present an AI-powered in-car radio service that creates personalised audio streams based on driver preferences, trip duration and location.

Renault is turning in-car radio into a personalised audio stream: together with media group RMC BFM, the company is launching RMC BFM Drive, an AI-powered service that builds a custom programme tailored to each journey. The application will be available from March 2026 in vehicles equipped with the OpenR Link system with built-in Google.

The idea is simple but shifts the привычный формат: the driver no longer adapts to a broadcast — the broadcast adapts to the driver. Users can set the length of their listening session, choose topics ranging from politics to technology, select a preferred voice, and define a region for local news. Based on these inputs, the system generates a unique audio sequence that evolves in real time according to preferences and travel conditions.

This launch reflects Renault’s broader move to turn the car into a connected and personalised digital space. OpenR Link already functions as an app platform with access to services via Google Play, including navigation, media and other digital tools. RMC BFM Drive fits into this ecosystem by embedding editorial content directly into the in-car experience.

The format stands apart from traditional radio, streaming and podcasts. Instead of offering fixed content, the system dynamically assembles an audio feed adapted to trip duration and user interests. Available information describes it as a first-of-its-kind service where AI continuously builds and updates a personalised stream of news and programmes.

Content comes from RMC BFM, one of France’s largest media groups, reaching more than 54 million people monthly. This allows the service to draw from a broad catalogue of news, analysis, sport and other formats, tailored to both user preferences and location.

While the technical specifics of the AI are not disclosed, it is confirmed that the system automatically generates and updates audio sequences based on selected parameters and journey context. The approach aligns with a wider industry shift toward AI-driven personalisation in automotive digital platforms.