Uber and Pony.ai Target Four European Cities With 2,000 Robotaxis

Uber and Pony.ai announced plans this week to deploy up to 2,000 robotaxis across four unnamed European cities, expanding a partnership that began with Middle East operations last year. The companies say Pony.ai will supply the autonomous technology while Uber handles ride-hailing through its app, leaving fleet maintenance and ownership to local partners. No launch dates or specific cities were disclosed, though the firms pointed to an earlier pilot planned for Zagreb, Croatia, as a model.

The move comes as Uber seeks to lock in ground in a market still dominated by human drivers. Europe’s stricter labor rules and data protections have slowed similar efforts compared with the United States and China, where Pony.ai already operates in several cities. By outsourcing day-to-day vehicle operations to local firms, the companies appear to be trying to navigate those hurdles without taking direct responsibility for employment conditions or liability.

Critics have long warned that robotaxis threaten the livelihoods of drivers who already work under precarious conditions on Uber’s platform. Many rely on the company for income yet receive no benefits or minimum-wage guarantees in much of Europe. Scaling autonomous vehicles could accelerate job losses without corresponding protections, a pattern seen in other automated industries where companies prioritize efficiency over worker stability.

Pony.ai’s involvement also raises questions about data flows. The Guangzhou-based firm collects vast amounts of mapping and sensor information to train its systems. European regulators have repeatedly clashed with Chinese technology companies over surveillance risks and data security. Uber has faced its own scrutiny on privacy practices, including past revelations about tracking users and drivers without full transparency. Combining the two firms’ data operations could create new vulnerabilities for riders and cities alike.

The announcement follows Uber’s broader strategy of partnering with more than thirty autonomous-vehicle developers rather than building the technology itself. This approach lets the ride-hailing giant spread risk while still capturing fees from each trip. Pony.ai, meanwhile, gains access to Uber’s large customer base and established payment systems without having to build its own marketplace from scratch.

Local governments in the targeted cities will likely face pressure over permitting, insurance rules, and public-road testing. Past robotaxi trials elsewhere have produced mixed results on safety and congestion, with some systems requiring remote human oversight that undercuts claims of full autonomy. European officials have signaled they intend to move cautiously, yet the companies’ phased rollout language suggests they hope to secure approvals incrementally before full details emerge.

Whether the partnership delivers meaningful public benefits remains unclear. Proponents argue autonomous fleets could reduce traffic accidents and emissions if paired with electric vehicles. Yet without enforceable commitments on wages for remaining workers, data safeguards, or limits on surge pricing, the expansion risks repeating the same imbalances that have defined Uber’s growth in traditional ride-hailing.