A look at companies like Cerence, which have partnered with automakers to roll out emotion- and object-detecting AI systems for cars over the next two years
then sell the resulting data for a profit.” 🚮🚮🚮 https://www.vice.com/... @zenalbatross : US car companies helped kill the dream of universal rail and public transport by creating the cultural myth of the car as a symbol of american freedom now they are installing in-cabin camera systems to scrutinize your emotions and sell the data for profit https://www.vice.com/... https://twitter.com/...
Context & Ripple Effects
Cerence's push to put emotion- and object-detecting AI in cabins is the commercialization phase of an arc the coverage has tracked for years: in-cabin video analysis pitched at CES as both safety feature and data source, followed by automakers' announced plans for assistants that learn your moods. The stated business model — enhancing safety while gathering data to sell — was explicit from the start.
What makes Cerence's rollout consequential is where it lands: inside a connected vehicle data marketplace of 37 companies operating with little regulation, one that already includes automakers routing driving-behavior scores to brokers like LexisNexis via their own apps.
First-order effects
- Automakers adopting Cerence's systems gain a second data layer — facial expression and object detection inside the cabin — on top of the exterior driving telemetry they already collect through apps and telematics.
Second-order effects
- Insurers and data brokers are the obvious downstream buyers: privacy experts have already flagged that mobility-analytics data can be used to adjust rates based on where people drive, and cabin emotion data extends that logic to how people drive.
Third-order effects
- If cabin monitoring follows the path of app-based driving scores, the pattern points toward a structural shift where the car becomes a continuous behavioral sensor and the industry's economics tilt toward whoever aggregates and sells the resulting data — unless regulators close the gap in what remains a largely unregulated market.
The trend: In-cabin sensing is moving from safety justification to monetized behavioral surveillance, extending the connected vehicle data economy from how you drive to how you feel while driving.