On the crest of an icy mountain range, where the air runs thin and skin burns with cold, giant machines glide silently across a white desert.
At more than 5,600 metres above sea level, in a contested and almost uninhabitable region, China is turning a mineral deposit that is nearly impossible to work into an industrial-scale testbed for autonomous mining.
A hostile mountain range, a colossal metal treasure
The scene unfolds in the Kunlun Mountains, in the Aksai Chin region at China’s far west, right inside a territorial dispute zone. This is where Huoshaoyun lies: a mountain concealing one of the largest lead and zinc deposits on the planet.
The site was identified in 2016 and development began in 2017. Since then, it has become strategically important for Beijing. Estimates point to more than 21 million tonnes of lead and zinc ore, valued at around €45 billion.
The problem is getting there, staying there and working there. The altitude exceeds even La Rinconada in Peru, often cited as the world’s highest permanent settlement. Thin air brings extreme fatigue, headaches and nausea. Constant cold pushes temperatures down to −20 °C or lower. The wind cuts at your face, and the ground stays frozen for much of the year.
At an altitude where every step costs breath, China decided the heavy lifting would no longer be done by human lungs, but by algorithms and diesel engines.
In this setting, running a traditional operation-with drivers, mechanics, machine operators and support teams-becomes expensive, dangerous and logistically complex. The answer from Chinese engineers was to stop trying to “adapt” people to the environment and instead redesign the entire haulage chain around autonomy.
From cab to server: lorries that see and decide
Robots on wheels on the edge of the Himalayas
The vehicles operating at Huoshaoyun no longer resemble classic mine haul trucks driven by workers in thermal gear and oxygen masks. They do not have a conventional cab, do not require internal heating, and do not even have a physical steering wheel on board.
They are autonomous platforms equipped with a range of sensors:
- LiDAR, scanning the terrain in 3D
- High-resolution cameras with day and night vision
- Radar to detect obstacles even in snow or dust
- High-precision GPS combined with the mine’s digital maps
- On-board computers running decision-making software
This combination allows the lorry to “see” ramps, bends, bench edges, other vehicles and even workers on foot. The system calculates trajectories, adjusts speed, brakes automatically if there is risk, and reroutes if a section is blocked by ice, rockfall or another anomaly.
5G, cloud systems and an operator hundreds of kilometres away
To make this work in a coordinated way, the mine has been covered with high-capacity communications infrastructure based on 5G networks. Each lorry sends and receives real-time data, sharing its position, load, route and road conditions.
In practice, it operates like an “intelligent convoy”. Vehicles allocate tasks among themselves, avoid internal bottlenecks, schedule overtakes and organise queues at loading and tipping points.
A control centre, hundreds of kilometres away, monitors every lorry on 360-degree screens, ready to take manual control if anything goes off-plan.
This option for remote human intervention adds an extra safety layer and bridges the gap between operator expertise and machine autonomy. What once required dozens of drivers in extreme conditions can now be managed by a small team in climate-controlled rooms, with normal oxygen levels and a cup of tea close at hand.
24 hours a day, without altitude sickness
From an 8-hour shift to continuous running
One of the most striking elements of the project is the move away from a human shift model towards near-continuous operation. Without the physical limits of fatigue, lack of oxygen or frostbite risk, the lorries can run day and night.
In effect, China is building a large-scale “conveyor belt” for ore:
- excavators load the raw material
- autonomous lorries haul ore to crushing or stockpiling points
- the cycle repeats continuously, pausing only for planned maintenance
Tests already carried out indicate significant logistics gains compared with a conventional fleet. Consistent speeds, fewer unscheduled stops and reduced operational errors produce a more predictable flow.
A human driver, however experienced, suffers from altitude sickness; an autonomous lorry suffers only from signal quality and maintenance standards.
The next step looks obvious: bring in autonomous excavators and loaders too, creating a nearly fully robotised chain from the mining face to the processing yard.
A market in transition: why are lead and zinc worth the effort?
Lead and zinc are not “fashionable” metals like lithium or cobalt, but they remain critical to global industry. Lead still dominates traditional automotive and industrial battery markets, while zinc is widely used for galvanising steel, metal alloys and construction components.
In December 2025, zinc was trading at around €2,500 per tonne, and lead close to €1,970 per tonne. Both markets are in transition: lead tends towards stability due to ongoing demand for conventional batteries, while zinc faces a mix of rising supply and weaker-than-expected consumption growth.
| Metal | Approximate price (Dec 2025) | Main use |
|---|---|---|
| Zinc | €2,500/t | Galvanising, alloys, construction |
| Lead | €1,970/t | Batteries, industrial applications |
Even with downward pressure in parts of the market, a deposit of this size is likely to remain profitable for many years-particularly if operating costs are reduced through automation and reduced exposure of workers.
Geopolitics, technology and the mining of the future
One mine, many strategic messages
Huoshaoyun is not just an economic project. It signals in multiple directions. First, it reinforces China’s position as a major power in extracting and processing metals-not only “rare earths” but also more traditional ores. Second, it field-tests technologies that could be replicated in other extreme environments: the Arctic, high-altitude deserts, polar regions, and even space missions.
Running a fleet of autonomous lorries-powered by 5G and artificial intelligence software-in a remote, hostile area functions like a dress rehearsal for off-Earth operations, such as lunar or asteroid mining. The logic is similar: hostile conditions, very high cost to keep people alive, and the need for robust, highly autonomous machines.
Where human life is fragile, the combination of sensors, data and algorithms makes room for new models of economic exploitation.
Risks, questions and grey areas
This progress also raises sensitive issues. The Aksai Chin region is disputed, adding a delicate geopolitical layer to the project. High-tech infrastructure-backed by large companies and potentially state interests-tends to strengthen China’s position in contested territory.
Socially, large-scale autonomous haulage fuels debate about mining jobs. In traditional regions, replacing drivers with digital systems can affect hundreds or thousands of workers, especially in countries still heavily reliant on conventional mines.
What this mine can teach other countries
For economies that also depend on large-scale mining and face remote areas-such as Brazil, with operations in the Amazon and sparsely populated border regions-Huoshaoyun serves as a distant laboratory. The combination of autonomy, connectivity and remote operation points towards scenarios in which:
- fewer workers need to live in isolated locations
- accidents in extreme conditions may decrease
- the upfront technology cost is offset by continuous running
- new roles appear in cities, linked to control rooms, software maintenance and data analysis
Terms like “autonomous mining” and “driverless fleet” are likely to appear more and more in major miners’ planning documents. Put simply, it means moving people away from the risky frontline and using computers, sensors and algorithms to perform repetitive tasks predictably.
A plausible scenario in the coming years is Brazilian mines adopting hybrid models: part of the fleet with drivers, part moving towards progressive autonomy, starting in more controlled areas such as internal haul roads. As the technology proves reliable, the operating envelope expands and the operator’s role shifts from driving to supervising systems.
The benefits are not limited to safety. Lower fuel consumption from smoother driving, reduced wear on tyres and brakes, and data-driven preventive maintenance can deliver cumulative economic gains. In a multi-million-euro operation, a few percentage points of efficiency can materially change the bottom line.
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