Uber may be uniquely positioned to become one of the most important physical AI platforms in the world by acting as the marketplace connecting riders, vehicles, and autonomous driving technology providers. While much of the attention in autonomous vehicles has focused on companies developing the technology itself, Uber's expanding network of partnerships could allow it to participate meaningfully in the growth of autonomous transportation over the coming decade, even as competitors like Waymo scale rapidly.

What Is Physical AI and Why Does It Matter for Autonomous Vehicles?

Physical AI refers to artificial intelligence systems that produce real-world outcomes, not just digital outputs like text or images. Autonomous vehicles, factory automation, and surgical robotics represent the intersection of AI models and physical results. Unlike the digital AI applications that have dominated investment since ChatGPT's launch in November 2022, physical AI creates tangible economic value by automating tasks in the real world.

For investors and industry observers, the key question is where value ultimately accrues within the autonomous vehicle ecosystem. While considerable attention focuses on the companies developing the technology itself, Uber's position as the marketplace connecting riders with autonomous transportation providers could become increasingly valuable as autonomous fleets scale.

How Does Uber's Multi-Partner Strategy Differ From Competitors?

Uber maintains ownership interests, investment partnerships, or platform relationships with thirteen leading autonomous vehicle companies globally. This diversified approach spans technology companies, automotive manufacturers, and autonomous driving software developers, providing Uber with exposure to a broad range of technologies and operating models.

Uber's autonomous vehicle partners fall into three distinct categories, each bringing unique capabilities to the ecosystem:

• Capitalized Technology Leaders: Companies with the technical backbone and financial resources to commercialize autonomous transportation at scale, including Nvidia, Waymo, Zoox, and Baidu.
• Automotive OEM Partners: Vehicle manufacturers seeking to maintain relevance in the future of mobility, including Rivian, Lucid, Stellantis, and Nissan.
• AV Driver Start-Ups: Companies focused on developing the software and simulation environments that train autonomous driving systems, including Nuro, Waabi, Wayve, WeRide, Pony.ai, Avride, May Mobility, and Motional.

What these companies generally lack is a direct relationship with riders at scale. Uber's platform provides access to demand, helping bridge the gap between technological capability and commercial deployment.

What Are Uber's Geographic Expansion Plans for Autonomous Vehicles?

Waymo is targeting approximately 25 U.S. cities by the end of 2026 and could potentially expand to 40 to 50 cities by the end of 2028. In contrast, Uber and its partners are expected to be active in roughly 15 cities globally by year-end 2026 and are targeting approximately 28 cities from the Nvidia partnership alone by 2028. Additional large-scale partnerships with Nuro, Lucid, Waabi, and WeRide could ultimately bring Uber's autonomous vehicle footprint in line with Waymo's.

This geographic diversification across multiple partners and technology platforms reduces Uber's dependence on any single autonomous vehicle provider. Rather than betting everything on one company's success, Uber is building optionality into its autonomous vehicle strategy, allowing it to scale with whichever partners prove most capable and cost-effective.

How Could Autonomous Technology Extend Beyond Robotaxis?

While robotaxis represent the most visible physical AI opportunity, Uber sees meaningful potential to apply autonomous technologies across its delivery business. The company is already piloting sidewalk delivery robots in select markets, but the broader opportunity extends well beyond sidewalks and could eventually include autonomous road transportation and even aerial delivery.

Uber is supporting the development of self-driving delivery and freight solutions through partnerships with autonomous trucking companies such as Waabi and Aurora. Pilot programs are already underway in the Texas-to-Phoenix freight corridor. By the end of the decade, advances in battery technology could make drone delivery economically viable in select markets where faster fulfillment carries a meaningful premium.

Why Could Uber's Marketplace Position Become More Valuable Than Technology Ownership?

The central risk to Uber's autonomous vehicle strategy has been the possibility of a winner-take-all market where a single company like Waymo monopolizes the technology. In such a scenario, Waymo could exclusively serve its own ridesharing app and attract riders away from Uber with lower fares, disintermediating Uber from the technology itself.

However, Uber's strategy of maintaining relationships with thirteen autonomous vehicle companies globally suggests a different outcome. By positioning itself as the neutral marketplace connecting multiple technology providers with rider demand, Uber could capture value not from owning the autonomous driving technology, but from being the platform that brings supply and demand together at scale. As autonomous fleets grow, that marketplace position could become increasingly valuable.

Uber's Gross Merchandise Value, or total spend on its platform, has grown approximately 60 percent since 2023, demonstrating the underlying strength of its core business even as autonomous vehicle deployment remains in early stages.