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Uber Shifts Gears: Data Powerhouse for Self-Driving Cars
2 May
Summary
- Uber plans to outfit driver cars with sensors for AV data collection.
- The company sees data access as the key bottleneck for AV development.
- Uber aims to democratize data, not profit directly from its sale.

Uber harbors a long-term ambition extending beyond passenger transport. The company intends to equip its human drivers' vehicles with sensors to gather real-world data. This data is earmarked for autonomous vehicle (AV) companies and AI model developers training on physical-world scenarios.
Praveen Neppalli Naga, Uber's CTO, revealed this strategy as a natural progression of the AV Labs program. Currently, AV Labs utilizes a dedicated fleet of sensor-equipped cars operated by Uber. However, the ultimate aim is to harness the vast global network of millions of Uber drivers.
Naga highlighted that the primary obstacle for AV advancement is no longer technology but data. Companies often struggle with the capital and logistics required to collect diverse driving scenarios. Uber's vision is to become the central data provider for the entire AV industry.
This strategic move positions Uber as a vital data layer, especially after it previously abandoned its own self-driving car development. The company has existing partnerships with 25 AV firms, including Wayve, and is constructing an "AV cloud" for labeled sensor data. This platform will enable partners to query data and run models in simulated "shadow mode" alongside real Uber trips.