Uber sold its Advanced Technologies Group (ATG) autonomous vehicle unit on December 31, 2020, abandoning years of proprietary self-driving development. The exit followed heavy R&D spending and operational losses tied to building in-house AV technology.
The company replaced internal development with investments in specialized AV firms. Uber invested in Wayve and Rivian Automotive, securing partnerships to integrate third-party autonomous systems into its mobility network. Additional partnerships with Chinese AV companies expand geographic reach without capital expenditure on vehicle engineering.
TechCrunch reported Uber and Rivian held extended negotiations before announcing their robotaxi partnership, suggesting strategic planning beyond short-term tactical moves. The Rivian deal positions Uber to deploy electric robotaxis through a partner's manufacturing infrastructure rather than building vehicles.
The strategic shift converts Uber from an AV manufacturer to a distribution platform. Partners develop autonomous technology and vehicles while Uber provides demand aggregation, routing algorithms, and customer acquisition. This model reduces R&D costs that previously pressured margins.
For investors, the partnership approach carries execution risk. Uber depends on external companies to deliver functional autonomous technology on commercially viable timelines. Delays or technical failures at partners directly impact Uber's deployment schedule. Competitors developing in-house systems, like GM's Cruise or Alphabet's Waymo, control their technology roadmaps and capture full value from breakthroughs.
The ATG sale and partnership announcements occurred between 2020 and 2026, coinciding with Uber's broader push toward profitability. Tracking R&D expenses as a percentage of revenue from 2021 onward versus 2018-2020 levels will show whether the strategy delivers cost savings. Operating margin trajectory provides the clearest signal of financial impact.
Autonomous vehicle deployment scale compared to vertically integrated competitors will test whether partnerships accelerate market entry or cede competitive advantage. Time-to-market for autonomous service launches measures execution speed under the new model.
The capital-efficient approach bets that platform economics outweigh technology ownership. If partners deliver working systems, Uber avoids billions in development costs. If they falter, Uber loses years waiting for external innovation.
