Autonomous trucking companies are increasingly turning to capital markets for funding.
This year, companies like Uisee Technology and Yikong Zhijia have listed on the Hong Kong Stock Exchange, while DeepWay Technology and Main Line Technology have also submitted listing applications. The industry's focus has shifted to whether vehicles can be deployed at scale and whether autonomous driving can truly deliver cost reductions for clients.
In this latest round of commercialization competition, Pony AI Inc has chosen to replicate its urban autonomous driving capabilities, honed for robotaxis, into light-duty trucks.
Recently, Pony AI Inc's first-generation autonomous light truck completed its production run and has entered intensive road testing within the operational scenarios of its logistics partners.
This light truck is designed for urban distribution, with plans over the next two to three years to focus on applications such as express delivery, parcel shipping, supermarket supply chains, and cold-chain logistics for food and beverages.
A key prerequisite for Pony AI Inc's entry into the light truck market at this time is the reduction in costs.
Over the past two years, the cost of Pony AI Inc's ADK (Autonomous Driving Kit) has dropped by 60% to 70%. The light truck reuses the sensors, hardware architecture, and computing platform from the robotaxi. Cost reductions from the supply chain, achieved through the mass production of robotaxis, can also be applied to the light truck.
The operating environments for both are also highly similar. Light trucks and robotaxis primarily operate in urban areas and on city expressways, sharing capabilities such as merging, lane changing, navigating intersections, and interacting with pedestrians and cyclists. According to Pony AI Inc, the light truck and robotaxi share over 95% of their hardware and urban ODD (Operational Design Domain), with an overall synergy rate exceeding 90%.
The first-generation autonomous light truck currently being rolled out uses a new energy pure electric platform, equipped with a standard 100 kWh battery, a cargo box volume of about 18 cubic meters, a standard range of approximately 300 kilometers, and a maximum range that can be extended to 450 kilometers. The vehicle's top speed is 70 km/h on urban roads and can reach 100 km/h on some expressways and highways.
Compared to small, low-speed delivery vehicles primarily used for last-mile delivery, Pony AI Inc's light truck targets larger-volume routes between transit centers, distribution points, warehouses, and supermarkets. The company estimates that once the vehicle enters a driverless operational phase, the cost per kilometer for freight can be reduced by 40% to 50%.
However, for the light truck to replicate the rapid scaling of the robotaxi, it still needs to overcome two hurdles: mass vehicle production and policy.
Xiao Ping, Product Head of the Truck Business Unit at Pony AI Inc, stated that mass production of the vehicle is the first step in scaling up the light truck. Although the first-generation vehicles have been produced and are undergoing road testing, and Pony AI Inc's past experience with robotaxis and heavy trucks can support the light truck platform, the company still needs to collaborate with OEMs for further iteration. Future light truck collaborations will not be limited to a single OEM.
Obtaining the necessary permits will also need to be a gradual process. Xiao Ping noted that several cities in China have already opened commercial operations for intelligent connected vehicles. Pony AI Inc may prioritize starting in these cities, particularly in areas where robotaxis are already deployed.
What is more difficult to directly replicate is the logistics end-delivery process.
In traditional urban distribution, light truck drivers sometimes also assist with unloading the cargo. When the vehicle no longer has a driver, this task must be transferred to personnel at depots or stores, or handled by automated equipment.
Xiao Ping told the press that large express delivery and logistics companies already have a relatively standardized loading and unloading system. Transit centers and distribution points typically have staff on both ends and use tools like tail lifts, making them more suitable as initial deployment scenarios for autonomous light trucks.
However, scenarios like supermarkets are more complex. Some stores lack mature automated loading and unloading facilities. The unloading work, previously assisted by the driver, may increasingly fall on store staff. As autonomous light trucks are deployed more widely, automated tail lifts and loading tools may continue to improve, but the unloading process will still require human coordination.
While the technology accumulated from robotaxis can be transferred, the production workflow of city logistics cannot be replicated exactly as is.
Whether Pony AI Inc can translate its technological and cost advantages from robotaxis into mass production capabilities, permits, and coordination of end-delivery processes will determine whether this autonomous light truck can truly achieve scale.
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