The Robotaxi Economics

The economics of the robotaxi have always come down to two numbers: what the vehicle costs to build, and whether each trip earns more than it costs to run. In China, the first number has fallen off a cliff. Baidu’s sixth-generation Apollo Go vehicle, the RT6, carries a stated build cost of about 204,600 yuan, roughly $28,000, down more than half from the previous generation and less than a consumer Xiaomi SU7.^[1] A driverless car had cost millions a few years earlier; now it costs less than the average new car in America.^[2]

That cost collapse is what finally moved the second number into the black, at the level of the individual vehicle. In November 2025 Pony.ai reported city-wide “unit-economics break-even” for its seventh-generation robotaxis in Guangzhou, on an average of 232 orders per vehicle per day; by early 2026 it claimed the same in Shenzhen.^[3] WeRide reported reaching break-even unit economics in Abu Dhabi, achieved largely by removing the safety driver.^[4]

Read ‘break-even’ carefully

Here is the distinction that separates the hype from the reality. Unit-economics break-even means a vehicle, in a dense city, on a good two-week stretch, earns more than its direct running costs. It does not mean the company makes money. In full-year 2025, Pony.ai’s robotaxi revenue more than doubled to about $17 million, and it still posted a net loss of roughly $77 million; WeRide’s robotaxi revenue tripled, and it lost some 1.7 billion yuan.^[4] Baidu, for its part, describes its Wuhan operation as “nearing break-even” and has set a target of Apollo Go profitability, a projection, not a reported result.^[2] The hardware got cheap well before the businesses got profitable.

The vehicle now costs less than an ordinary car. The company still loses money on every quarter. Mind the gap.

The remaining costs are the ones a per-vehicle margin ignores: teleoperation and remote assistance, cleaning and depot logistics, insurance, mapping, and the capital to scale from hundreds of cars to thousands. Safety statistics cited by operators, Baidu’s “millions of kilometres per airbag deployment,” for instance, are selective, self-reported figures, not audited benchmarks against human drivers.

The costs a per-vehicle margin ignores are exactly the ones that scale badly. Teleoperation and remote assistance grow with the fleet; cleaning, depot logistics and insurance are real per-mile drags; mapping and validation must be redone for each new city; and the capital to go from hundreds of cars to thousands dwarfs the savings on any single vehicle. That is why “unit-economics break-even” in one dense city on a good fortnight and company-level profitability are separated by a chasm, not a gap. The cheap vehicle is necessary but nowhere near sufficient, and conflating the two is the most common error in reading robotaxi progress.

What follows from this

The $28,000 robotaxi is a real breakthrough, because vehicle cost is the input that scales a fleet. But the leap from a break-even vehicle to a profitable company is a chasm made of overhead, utilisation and capex, and it is where most of the value will be won or lost. When you read that a Chinese robotaxi is “profitable,” the discipline is to ask: profitable at the vehicle, or at the business? Almost always, so far, it is the former.