Uber's Autonomous Driving Strategy: Reshaping the Future of Urban Mobility with 'Hybrid Network' Regulations

Ten years ago, Uber's former CEO Travis Kalanick viewed autonomous driving as an "existential threat" to the company's business model. A decade later, Uber has completely abandoned in-house development and instead partnered with over 25 robotaxi companies, becoming an aggregator platform for various autonomous ride-hailing services. However, a series of recently exposed documents reveal that Uber is not stopping at commercial cooperation—it is now leveraging legislative lobbying to enshrine a "hybrid network" into law, mandating that 85% of orders in autonomous ride-hailing services must be completed by human drivers.

In New Jersey, Uber representatives submitted draft legislation to state Senator Andrew Zwicker, requiring any platform offering autonomous ride-hailing services to ensure that human drivers handle 85% of trips within three years. If this clause takes effect, companies like Waymo, Zoox, or Tesla would be unable to operate independent ride-hailing apps and would have to integrate into existing platforms like Uber. This effectively locks autonomous driving operators into Uber's ecosystem. In Washington, D.C., Uber is similarly lobbying lawmakers to make the "hybrid network" a prerequisite for participating in autonomous driving projects.

Uber officially claims this is to ensure a "smooth transition," protect driver jobs, and oppose "monopolistic" autonomous driving legislation. But critics argue that this is merely a strategy for Uber to use regulatory leverage to bolster its market position after failing to master the technology on its own. Companies like Waymo explicitly oppose any regulations that restrict specific network types.

From an urban governance perspective, this conflict touches on a core issue of the autonomous driving era: when machines replace human drivers, how should cities manage the transitional transportation system? Uber's "hybrid network" proposal offers a gradual path, but the cost may be slowing technological adoption, limiting competition, and giving established ride-hailing giants a regulatory advantage. Better policies might focus on: ensuring fair interoperability between platforms through data sharing, establishing reliable performance benchmarks, and providing retraining and social security for affected drivers.

Historically, Uber was known for "expanding first, complying later," even deliberately evading regulations. Now it advocates for prudent legislation—a shift that itself signals autonomous driving technology has moved from the lab to the core of urban policy. The bills in New Jersey and Washington, D.C. will serve as reference models for other cities—whether to allow fully autonomous ride-hailing platforms to operate independently or to mandate hybrid models will profoundly shape the structure of urban mobility systems over the next decade.

Autonomous driving is not a technology problem; it is an urban system problem. Uber's strategy reminds us that the implementation of any technology requires institutional design, and the outcome of that design will determine the balance between fairness and efficiency. City managers need to look beyond the surface narrative of corporate lobbying and build data governance, employment transition, and infrastructure rules that truly serve the public interest.