Robotaxis, Autonomous Delivery, and Driverless Mining Trucks: Which One Makes Money First?
Author: Andrew Thornton| Reading time: ~8 minutes | Last updated: April 27, 2026
The same question, three different answers
In late March 2026, Waymo disclosed that it had reached 500,000 paid robotaxi rides per week. The company is targeting one million weekly rides by year-end — a milestone Co-CEO Tekedra Mawakana described as an “inflection point” in an Automotive World interview published on February 12, 2026. Just two months earlier, Waymo had raised $16 billion at a $126 billion valuation.
Almost simultaneously, a very different set of numbers came from the Yimin open-pit coal mine in Inner Mongolia, China. In a February 2026 interview with China Central Television (CCTV) Finance, mine director Shu Yingqiu said that a fleet of 100 autonomous electric mining trucks had operated through a full winter, including blizzards with visibility below 50 meters. Compared with the mine’s own large diesel trucks, each ton of coal moved by the autonomous trucks saved “more than five yuan” (roughly $0.69). At an annual output of 26 million tons, the saving exceeds 150 million yuan (about $20.5 million) per year. Only six dispatchers were needed to manage the entire autonomous fleet.
Then, in a research note published on April 24, 2026, Huaxi Securities pointed out that the bare-vehicle price of the Jiuzhi E6 autonomous delivery vehicle had fallen to around 20,000 yuan (roughly $2,750). At the same time, major logistics companies were planning to deploy more than 20,000 additional units within the coming year.
Standing in April 2026, the practical question is not who wins in the end. It is this: in what part of the value chain, and for whom, has the math actually started to work?
Mining trucks: it‘s not just the $20 million in savings — it’s the replicability
The Yimin mine case is built on numbers that come from the mine‘s own accounting system, not from a supplier’s projection. Director Shu‘s statement to CCTV Finance was direct: unmanned electric trucks save over five yuan per ton of coal compared with the mine’s large diesel trucks.
The site level details reinforce that figure. At minus 40 degrees Celsius and in heavy snow, human driven haulage stops; the autonomous trucks kept running. Over the Chinese New Year holiday, when a conventional mine would need hundreds of workers on rotating shifts, Yimin operated its autonomous zone with six dispatchers. Each truck carries four millimeter-wave radars, five lidars, and six cameras. Battery swapping takes six minutes, according to the mine‘s operations summary.
The total investment in R&D and vehicle procurement was about 400 million yuan (roughly $55 million), producing annual savings of more than 150 million yuan. That points to a payback period of under three years.
What makes this especially significant is that the cost items being reduced — driver wages, shift labor, fuel, tire wear, and weather-related downtime — are all captured inside the mine’s ERP system. The savings are not modelled; they are verified line items.
This is not an isolated result. Xidi Zhijia, a leading Chinese autonomous mining technology provider, reported full year 2025 revenue of 885 million yuan (around $121 million), up 115.8% year on year, according to its annual report published in March 2026. Its autonomous driving business segment alone generated 843 million yuan, a jump of 230.7%. The company delivered 630 autonomous mining truck systems over the year, bringing total cumulative deployments above 1,500 units. Its adjusted loss margin narrowed to 27.4%. Multiple brokerage reports forecast that Xidi Zhijia could reach a net profit in the tens of millions of yuan in 2026.
Mining autonomy is not really about selling a vehicle. It is about delivering operational continuity in a closed environment: fixed routes, no mixed traffic, no traffic lights, no road rights disputes. These structural conditions mean profit forecasts for this segment carry far less uncertainty than those for open road applications. That is arguably why more than 4,000 autonomous mining trucks had been deployed across China by the end of 2025, with the total expected to reach five figures relatively soon.
Delivery: the math that matters is per-parcel cost reduction
Autonomous delivery has grown along a very simple axis. In logistics, last-mile labor is a rigid cost. When the full life-cycle cost of a vehicle starts to look cheaper than a human driver, fleets begin to switch.
The cost curve has moved sharply. Huaxi Securities‘ April 2026 report noted that lidar unit prices had fallen from roughly 82,000 yuan in 2019 to about 3,900 yuan by early 2026 — a drop of more than 95%. The Jiuzhi E6 vehicle now carries a bare-vehicle price as low as approximately 20,000 yuan.
According to data released by the China Federation of Logistics and Purchasing (CFLP) in early 2026, more than 33,000 autonomous delivery vehicles were in service nationwide as of the end of December 2025. Over 15,000 of those were in the express delivery sector. Major courier companies plan to add more than 20,000 additional units over the next 12 months.
Most of these vehicles are not purchased outright. They are accessed through Robot-as-a-Service (RaaS) models — subscription for capacity, pay per mile or per stop. That model got an early validation in 2021, when Jiuzhi disclosed that a field pilot had brought the per parcel pickup cost down from 0.16 yuan to 0.05 yuan, a 69% reduction. With the RaaS structure in place, a courier depot can test autonomous capacity on real routes without a heavy upfront hardware commitment.
Globally, Starship Technologies has completed over six million grocery deliveries across European cities. Serve Robotics is focused on restaurant delivery routes in U.S. markets. Cartken deploys small-scale last-mile robots on university campuses. These players are proving that the model holds across different geographies.
The Huaxi Securities note described 2026 as the “commercial validation period” for the industry. The key question is no longer whether the vehicles can drive — it is whether the cost per delivery can keep dropping. As long as a courier company can replace a driver’s annual wage with a vehicle whose total monthly cost is lower, the procurement logic stays intact.
Robotaxi: unit economics turn positive, but company-level profit is still a distance away
Waymo’s growth trajectory is the clearest reference point in the robotaxi segment. On March 26, 2026, the company announced it was completing 500,000 paid trips per week, with a target of one million per week by year-end. Cumulative autonomous miles have passed 200 million, and service is live in multiple U.S. cities.
But the income statement tells a different story. Waymo‘s operating loss for the 2025 fiscal year, as disclosed in Alphabet’s Other Bets segment reporting in February 2026, was between $4.5 billion and $5.6 billion. That figure included about $2.1 billion in one-time stock-based compensation charges. Excluding that non-recurring item, the underlying operating loss was in the range of $2.4 billion to $3.5 billion.
Full-year ride revenue was approximately $270 million. That translates to roughly $18 of revenue per ride. When fleet operations, remote assistance, R&D, and city expansion are combined, the total unit cost is well above $300 per ride. Each of those three major cost categories absorbed roughly one-third of total expenditure, based on Waymo’s own cost breakdown.
In February 2026, Waymo closed a $16 billion funding round at a $126 billion valuation. The round was led by Dragoneer, DST Global, and Sequoia Capital, with Andreessen Horowitz and Silver Lake participating. Alphabet contributed roughly $13 billion. One stated purpose of the capital is to fund further city launches and Waymo‘s first international deployment, planned for Tokyo.
Frost & Sullivan’s March 2026 forecast positions the global robotaxi market at $66.6 billion by 2030, with China alone accounting for roughly $39 billion. The long-run addressable market is the largest among the three segments. But today, robotaxi finds itself in a gap: unit economics per vehicle have turned positive in specific cities, yet the enterprises themselves remain far from overall profitability. Scaling is the only known route to closing that gap — and scaling in ride-hailing requires real capital for every new city added.
Side-by-side comparison
Why are autonomous mining trucks making money first? Four structural reasons converge. The road network inside a mine is fixed, with only one type of traffic participant and no right of way disputes. The employer faces heavy safety and labor costs, so the urgency to substitute is high. The savings are verifiable — every dollar saved traces back to a real line item in the mine‘s cost ledger. And a clear national mandate requiring that at least 60% of mining production capacity be “intelligent” by 2026 acts as a timetable rather than as a subsidy.
Autonomous delivery has an equally clear profitability logic, though margins are thinner. The model depends on scale discounts generated by large volumes moving through RaaS subscription models. Obstacles such as inconsistent road-access regulations and extreme weather performance remain, particularly for intercity service. Still, the cost gap between a vehicle and a human driver — once the vehicle’s fully-loaded monthly cost falls below half a driver‘s annual wage — keeps procurement activity strong.
Robotaxi most closely resembles a platform business. If a network effect kicks in, marginal costs approach zero and order volumes can grow far faster than in mining or delivery. But the upfront investment required before that inflection point, and the city-by-city regulatory uncertainty, remain the largest risk factors.
Today, a mine is saving cash that sits in auditable cost accounts. Courier depots are shaving expenses off every bill. A robotaxi fleet has recorded its first months of positive unit economics. These three things operate in very different financial contexts, but they all move the same underlying dial: replacing a repetitive human task with a system whose marginal cost keeps falling.
FAQ
Is the profitability of autonomous mining trucks entirely dependent on Chinese policy support?
The policy provides a timetable, not a subsidy. The 2026 target for intelligent mining capacity accelerates procurement decisions, but the core source of profit remains the hard savings from replacing drivers, lowering fuel use, and cutting unplanned downtime. Frost & Sullivan estimates that the Australian autonomous mining market alone could be worth $2.7 billion by 2030.
Can a 20,000-yuan delivery vehicle actually make money?
The pricing model is not designed to profit from hardware sales. It relies on the “low cost hardware plus subscription” RaaS structure. Huaxi Securities noted that once the bare vehicle price dropped to around 20,000 yuan, the acquisition threshold for delivery companies fell sharply. Their monthly subscription expense is directly comparable to human labor, and if the vehicle‘s life cycle cost stays below half a driver’s annual wage, the substitution arithmetic holds.
Waymo is doing 500,000 rides a week. Why is it still losing money?
Waymo‘s ride revenue represents roughly $18 per trip. The total unit cost — fleet operations, remote assistance, R&D, and expansion — exceeds $300 per trip at the current scale. The company’s stated thesis is that once weekly rides approach one million, fixed costs will be diluted significantly. Until that volume materializes, losses are a direct consequence of rapid expansion.
Which of the three sectors has the largest market?
Frost & Sullivan‘s March 2026 forecast points to a global robotaxi market of $66.6 billion by 2030. QY Research’s March 2026 data suggests the autonomous delivery vehicle market could reach $3.08 billion, while the driverless mining truck market is projected at around $686 million. Market size and the timeline to net profit do not have to align, and in this case they clearly do not.
References
[1] Waymo, “Co-CEO Tekedra Mawakana on 1 Million Weekly Rides Target,” Automotive World, February 12, 2026.
[2] Waymo, “500,000 Weekly Paid Trips Announced,” Sawyer Merritt on X, March 26, 2026.
[3] Huaxi Securities, “Transportation & Logistics + Technology Series Report,” April 24, 2026.
[4] Frost & Sullivan, “Global Autonomous Mining Truck Market Report,” 2026.
[5] QY Research, “Driverless Delivery Vehicle — Global Market Share and Ranking,” March 2026.
Disclaimer
This analysis is based on publicly available information and third party research as of April 2026. It is intended for industry discussion only and does not constitute investment, commercial, or procurement advice. Different regulatory environments and cost structures may lead to different commercial outcomes. The author makes no warranty regarding the timeliness or completeness of the data used. For any specific decision, consult a qualified professional.
Related Articles：
1. Why Autonomous Driving in Closed Environments — Like Mining Trucks and Port Vehicles — Turned Profitable Before Robotaxis https://zhongtaiserver.zhongtongtec.com/storage/WebsiteAdmin/view/2026-04/autotriad.com/driving/why-autonomous-driving-in-closed-environments-like-mining-trucks-and-port-vehicles-turned-profitable-before-robotaxis.html
2. Waymo and Cruise Keep Expanding Robotaxi Networks. How Far Are We from Profitability?https://zhongtaiserver.zhongtongtec.com/storage/WebsiteAdmin/view/2026-04/autotriad.com/driving/waymo-and-cruise-keep-expanding-robotaxi-networks-how-far-are-we-from-profitability.html
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