A look at Waymo's Mesa, AZ plant, producing several retrofitted Jaguars per day and where plans to scale up with Chinese Zeekr vans may be derailed by tariffs
An exclusive look inside the facility turning Jaguar EVs into robotaxis with the AI-driven fleet's custom computing system, cameras, lidar and radar.
Context & Ripple Effects
Waymo’s Mesa operation is the manufacturing follow-through to its earlier Jaguar Land Rover fleet partnership, which contemplated adding Jaguar I-PACE vehicles to its autonomous fleet. The facility shows that robotaxi deployment depends not only on driving software but also on integrating a dedicated sensing and computing stack into each vehicle.
The planned shift toward Zeekr vans makes vehicle sourcing a near-term constraint on fleet expansion: tariffs could complicate the supply path just as Waymo seeks to move beyond retrofitting Jaguars.
First-order effects
- Mesa continues converting Jaguar EVs into robotaxis at a rate of several vehicles per day, installing Waymo’s custom compute, cameras, lidar and radar.
- Potential tariffs on Chinese-made Zeekr vans put Waymo’s intended next vehicle platform at risk, creating uncertainty around how quickly it can add purpose-built fleet capacity.
Second-order effects
- Waymo may need to weigh the cost and availability of imported Zeekr vehicles against extending or adapting its existing retrofit pipeline, making vehicle procurement as consequential as sensor and compute integration.
- A tariff-driven disruption would raise the value of flexible domestic integration capacity, because fleet operators need a way to deploy whichever vehicle supply remains economically viable.
Third-order effects
- If this pattern persists, robotaxi competition will increasingly be shaped by industrial supply chains—vehicle origin, integration throughput and hardware sourcing—rather than autonomy software alone.
- The sector may favor operators that can pair a scalable vehicle platform with localized manufacturing and retrofit options, though the balance will depend on tariff policy and vehicle availability.
The trend: Robotaxi deployment is becoming an AI-hardware industrialization challenge in which fleet growth depends on vehicle supply and physical integration capacity as much as autonomous-driving capability.