Australia's mining industry is making a case for government to trial artificial intelligence in the project approval process, arguing that the technology could help unlock billions of dollars in investment and accelerate the delivery of housing and employment.
The Australian mining sector contributes over 10% to GDP and remains a cornerstone of the national economy, with Western Australia dominating production of coal, iron ore, bauxite and critical minerals. Yet the regulatory machinery governing these operations remains labour-intensive and sluggish. According to the industry's peak body, the path from initial project concept to final construction decision stretches across approximately 16 years.
The proposal warrants scrutiny on several fronts. Mining approvals involve genuine complexity; they must address environmental approvals, native title and Aboriginal cultural heritage agreements, compensation for private landowners and objections to applications. One recent greenfield iron ore project in the Pilbara required an estimated 4,000 separate government approvals to reach final commissioning. These requirements exist for sound reasons, and no government should sacrifice environmental or cultural due diligence in the name of speed.
However, the minerals industry contends that AI could help navigate this labyrinth without compromising standards. Investment in AI for mining is projected to reach $900 million in 2025, with Australia commanding 74% of total global capital in this field. The pitch is that machine learning could process applications more efficiently, identify inconsistencies in documentation, cross-reference regulatory requirements across jurisdictions and flag potential bottlenecks before they become costly delays.
The government's position remains measured. The National AI Plan is the Australian Government's plan to grow the AI industry in Australia, setting out steps to support the nation to build an AI-enabled economy that is more competitive, productive and resilient. Yet this sits alongside a broader commitment to responsible deployment; the plan aims to keep Australians safe with legislative and regulatory frameworks that mitigate AI harms while promoting responsible practices.
A reasonable tension exists here. The industry points to competitive disadvantage; advanced AI in drilling and blasting systems deployed across exploration sites globally now deliver cost reductions between 30-40%. Meanwhile, Australia's approval machinery lags. The calculus appears straightforward on the surface: speed up approvals, attract investment, create jobs and build houses. Yet the actual test would require piloting AI in a regulatory context where errors carry real cost—environmental damage, breached cultural obligations, or approvals granted to unsafe operations.
The Minerals Council of Australia argues that governments should take a dynamic and light touch approach to AI regulation, providing the sector with freedom to test, deploy and refine new technologies to improve safety outcomes, drive efficiency and strengthen global competitiveness. This framing emphasises innovation and international competition. The counterargument, which deserves equal weight, holds that the government is committed to upholding international obligations, promoting inclusive governance and maintaining a resilient regulatory environment that provides certainty while responding to new challenges.
What matters now is whether the government will commit resources to testing AI in this space. A genuine pilot would require clear metrics, transparency about failures as well as successes, and genuine consultation with state agencies, environmental bodies and First Nations representatives. Done properly, such a trial could either demonstrate real gains in efficiency or reveal where human oversight and judgement remain irreplaceable. Either outcome would be valuable.