
BHP, the world's largest miner, uses AI to boost output and cut downtime.
At its Western Australia iron ore operations, AI unlocked 1 million tonnes of extra production, worth $50 million.
The system cut crusher downtime by 20% and related disruptions by up to 60%.
What happened
BHP, the world's largest mining company by market capitalization, has deployed AI across its operations. At its Western Australia Iron Ore operations, a computer vision system has unlocked roughly 1 million tonnes of additional annual iron ore production, worth an estimated $50 million, after cutting crusher downtime by 20% and related disruptions by up to 60% since its 2025 deployment.
Why it matters
BHP is using AI to extract more value from existing mines because it faces a hard physical constraint: the world will need to double copper production over the next 30 years to meet decarbonization goals, even as ore grades decline. The company's AI investments at Escondida, the world's largest copper mine, have helped save more than three gigalitres of water and 118 gigawatt hours of energy since fiscal year 2022.
What to watch
BHP is expanding these systems beyond pilot phases. It opened its first Industry AI Hub in Singapore in May 2025 to centralize AI capability, and is extending the Escondida concentrator model to a second concentrator. The company also notes that the conveyor monitoring system can trigger automatic responses, such as stopping equipment, without waiting for human review.
Ask the AI about this article →
BHP's AI strategy is built around a clear business case: not general efficiency, but a hard physical limit. The company projects the world needs to double copper production over the next 30 years to keep pace with decarbonization, even as ore grades fall and discoveries become rarer. This is why BHP's AI investments focus on optimizing existing operations rather than simply expanding.
The Escondida partnership with Microsoft, started in May 2023, uses Azure machine learning to generate hourly predictions about plant performance. While BHP has not disclosed a comprehensive figure for copper recovery improvements, it has quantified savings in water and energy: more than three gigalitres of water and 118 gigawatt hours of energy since fiscal year 2022. The company is expanding this to a second concentrator, signaling it has moved past a pilot.
For the conveyor monitoring system, the results are more concrete: roughly 1 million tonnes of additional annual iron ore production, worth an estimated $50 million, after cutting crusher downtime by 20% and related disruptions by up to 60%. The integration directly into BHP's process control systems was key to scaling it beyond a pilot. BHP is also centralizing AI capability through its Industry AI Hub in Singapore, aiming to build once and redeploy across its global portfolio.
For example, today's edition would include:
AI-summarized, only the topics you pick — one digest a day via Email, Slack, or Discord.
Free · takes 30 seconds · unsubscribe anytimeWhat is AIToday? →
Ask AI anything about this article. Q&As are published on this page for other readers too.
Chinese large-model developer Z.ai says it can now support large-scale inference using roughly 100,000 domesti…

AI system scaling has pushed interconnect requirements inside data centers from chips and boards up to racks…

Analyst Ming-Chi Kuo says Nvidia has revived the Rubin CPX AI accelerator with a substantially redesigned arch…

Palantir Technologies stock has posted multi-year gains, including an 11x return over 3 years

Apple has escalated its legal battle against OpenAI, claiming in a new court filing that OpenAI is actively de…

Samsung Electronics has locked up as much as 70% of its memory production capacity under long-term supply agre…
