Microsoft, Chile's copper firm Codelco sign AI mining deal

Codelco, the world’s largest copper producer based in Chile, and Microsoft signed an 18-month memorandum of understanding in Santiago to explore using AI, advanced analytics, automation, and cybersecurity to improve operational efficiency, operational safety, and digital security in mining.

The deal, signed by Rubén Alvarado, Codelco CEO, and Tito Arciniega, Microsoft Latin America president, builds on more than 27 years of collaboration and sets a joint governance structure to monitor pilots, early testing, and initiatives.

Workstreams include intensive data use and AI for decision support, autonomous and safer operations, automation of critical processes, strengthened cyber defenses, and technological training programs for workers and teams.

Codelco said the agreement aims to optimize asset management and protect data under high cybersecurity standards, while Microsoft described AI as a tool to enable safer, more efficient, and sustainable operations focused on people and long-term value for business and the country.

🔗 Source: Codelco

🧠 Food for thought

Implications, context, and why it matters.

Microsoft is one of several tech partners courting the world’s largest copper miner

The Microsoft agreement is not exclusive and fits Codelco’s plan to work with several tech firms.
Codelco has also signed innovation memorandums of understanding with NTT DATA on generative AI plus advanced connectivity networks, including 5G/6G 1.
Other deals include Huawei Chile for AI, connectivity, and cloud services 2, plus Schneider Electric for digitalization and energy efficiency, including industrial automation 3.
The Microsoft work follows a 2021 non-binding agreement that covered advanced analytics and a “Digital Academy” for employee training 4.

AI is turning mines into high-tech data factories

The focus in mining is moving toward data analytics, alongside physical extraction.
The deal covers AI for decision support, autonomous operations, safer work, process automation, stronger cyber defenses, and training programs for workers and teams.
Boliden uses sensors plus 500 cameras with Azure services, including Azure IoT Edge and Azure AI Vision, to track safety and productivity 5. Metinvest used a system based on Azure Machine Learning to tune blast furnaces, with expected savings of about $100 million from better fuel use 5.
This push comes as demand rises for energy-transition minerals and the sector faces a shortage of about 700,000 new workers in critical minerals extraction by 2030 6.