Autonomous Haulage: Separating Hype from Reality in Mining
Autonomous haul trucks are one of those topics that guarantee applause at any mining conference. The future has arrived, at least if you listen to the presentations.
But let’s look at it without the hype.
Today, there are around 4,000 autonomous haul trucks operating worldwide. Sounds impressive, until you realise the total global fleet is about 50,000. Less than 8%. And almost all of them are concentrated at a few of the world’s largest operations like Rio Tinto, BHP, and Suncor, companies that can afford to spend $500 million to $1 billion on the infrastructure behind autonomy.
Because the real cost is not just the truck. Retrofitting a single 200-tonne machine for autonomous operation can cost millions. Then come the networks, control rooms, sensors, road redesign, and system changes. Payback is usually 3 to 5 years, assuming everything goes to plan. But here is the question that is asked far too rarely: where exactly is that autonomous truck going?
An autonomous truck does not think. It executes. It goes where the system sends it. And if the system is making poor decisions, the truck will follow them just as obediently as a human driver, only at a much higher cost.
For most mines, the problem is not who is behind the wheel. The problem is that 10,000+ deviations per shift remain unmanaged, balancing is still done manually, and most losses are never captured in time. Spend a billion dollars on autonomous trucks, and they can still end up autonomously queuing, autonomously idling, and autonomously losing the same tonnes.
Our view is different. Before replacing drivers, mines need to replace manual control logic.
Autonomous haulage answers the question of who drives the truck. AI-native dispatch answers the more important one: where it should go, when, and what should happen next.
That second problem is more valuable. And much cheaper to solve.
Read more — in our LinkedIn www.linkedin.com/company/oesventures/
Autonomous haul trucks are one of those topics that guarantee applause at any mining conference. The future has arrived, at least if you listen to the presentations.
But let’s look at it without the hype.
Today, there are around 4,000 autonomous haul trucks operating worldwide. Sounds impressive, until you realise the total global fleet is about 50,000. Less than 8%. And almost all of them are concentrated at a few of the world’s largest operations like Rio Tinto, BHP, and Suncor, companies that can afford to spend $500 million to $1 billion on the infrastructure behind autonomy.
Because the real cost is not just the truck. Retrofitting a single 200-tonne machine for autonomous operation can cost millions. Then come the networks, control rooms, sensors, road redesign, and system changes. Payback is usually 3 to 5 years, assuming everything goes to plan. But here is the question that is asked far too rarely: where exactly is that autonomous truck going?
An autonomous truck does not think. It executes. It goes where the system sends it. And if the system is making poor decisions, the truck will follow them just as obediently as a human driver, only at a much higher cost.
For most mines, the problem is not who is behind the wheel. The problem is that 10,000+ deviations per shift remain unmanaged, balancing is still done manually, and most losses are never captured in time. Spend a billion dollars on autonomous trucks, and they can still end up autonomously queuing, autonomously idling, and autonomously losing the same tonnes.
Our view is different. Before replacing drivers, mines need to replace manual control logic.
Autonomous haulage answers the question of who drives the truck. AI-native dispatch answers the more important one: where it should go, when, and what should happen next.
That second problem is more valuable. And much cheaper to solve.
Read more — in our LinkedIn www.linkedin.com/company/oesventures/