AI in the mining industry is emerging as a major force for transformation, according to McKinsey’s Australian partner, Sergey Alyabyev. Speaking at a discussion in Jakarta on October 14, 2025, Sergey explained that while mineral demand continues to rise globally, mining companies are still facing constraints in accessing new resources, talent, and technology. He believes that the adoption of artificial intelligence (AI) — including tools like machine learning, deep learning, and generative AI — can help tackle these challenges by streamlining operations and improving decision-making from planning to production. For instance, AI can automate data collection, merge reports, and deliver insights faster, cutting down the time supervisors spend on manual tasks.
Sergey also noted that the cost of adopting AI in the mining industry is rapidly decreasing. He cited a report from Stanford’s AI Index showing that the cost of using GPT-3.5 has dropped from US$50 to just US$0.10 per million tokens, making AI technology more accessible for companies worldwide. Echoing this optimism, MIND ID’s Head of ICT and Digitalisation, Andoko Wicaksono, shared that Indonesia’s state-owned mining holding is already exploring AI to reduce operational costs and conserve resources. He added that even simple generative AI tools can make a meaningful impact when applied effectively, proving that AI in the mining industry is not just the future — it’s already transforming the present.
SNCTechnologies is also integrating AI across its systems and solutions, including MineSafeDrive, MineLink, and MineTrack, to enhance safety and operational efficiency in mining.
Image source: Tempo English/Alif Ilham Fajriadi
Source Link:
https://en.tempo.co/read/2057233/mckinsey-highlights-ai-opportunities-to-boost-the-mining-sector
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