Uber announced the creation of a new division, AV Labs, designed to collect and process real‑world driving data for its autonomous‑vehicle partners.
AV Labs will support a broad portfolio of partners—including Waymo, Lucid, Nuro, Waabi, Avride, WeRide, and Volkswagen—by running partner software in “shadow mode,” capturing edge‑case scenarios, and building a data flywheel that accelerates AI training.
Danny Guo, Uber’s VP of Engineering and Science, said the company’s “messy, real‑world data” is essential for advancing autonomous vehicles, while CEO Dara Khosrowshahi highlighted the potential of robotaxis to transform cities and emphasized Uber’s role as a data provider.
By focusing on data rather than building its own fleet, Uber keeps an asset‑light model, reduces capital expenditure, and positions itself as a key enabler for the AV ecosystem, potentially opening new revenue streams while maintaining its core ride‑hailing and delivery businesses.
The announcement coincided with a 0.9% slip in Uber’s stock and a price‑target cut from $122 to $105 by Stifel analyst Mark Kelley, who cited uncertainty around robotaxi adoption and potential margin pressure as key concerns.
The launch signals Uber’s renewed commitment to the autonomous‑vehicle space, leveraging its vast fleet to generate high‑quality data and support a growing network of partners while preserving its core business model.
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