Anglo American’s 2025 annual report highlights the company’s commitment to embracing artificial intelligence (AI) and advanced technologies. The primary goal is to improve how the company operates, support its strategic priorities, and create real value across its mining operations. By placing a strong emphasis on responsible and people-centred innovation, Anglo American aims to drive progress while upholding its values of safety, reliability, and sustainability.
AI is a powerful tool for advancing operational excellence at Anglo American. Operational excellence means consistently delivering mine plans in a safe and dependable manner, reducing variability in processes, improving capacity, increasing efficiency, and identifying and addressing constraints in operations. AI helps achieve these goals by automating data analysis, providing real-time insights, and optimising workflows, leading to safer and more productive mining environments.
- Predictive Maintenance: AI-powered systems monitor the condition of mining equipment in real time, predicting when maintenance is needed before breakdowns occur. For example, sensors on haul trucks and conveyor belts collect data that AI analyses to detect early signs of wear or faults. This reduces unexpected downtime, increases equipment lifespan, and helps ensure a safer working environment.
- Automated Ore Sorting: AI-enabled sensors and cameras are used to automatically sort ore from waste rock at the mine site. By analysing images and material properties, AI systems can separate higher-grade material efficiently. This not only reduces waste and processing costs but also improves resource recovery and minimises environmental impact.
- Real-Time Safety Monitoring: AI is used to track and analyse safety data from across mining operations. For example, wearable devices and cameras detect potential hazards, monitor worker fatigue, and alert teams to unsafe conditions. This enables quick responses to risks and supports Anglo American’s commitment to the health and safety of its employees.
- AI Governance: This refers to the rules and processes Anglo American puts in place to manage AI responsibly. It involves making sure AI systems are used safely, ethically, and in line with regulations. For example, there are guidelines to prevent data loss, guard against incorrect results, and ensure AI is used fairly.
- Generative AI Tools: These are programmes that can create new content, such as text, images, or reports, based on what they have learned from large amounts of data. In mining, generative AI might help design mine layouts or generate maintenance reports, making work faster and more accurate.
Responsible AI adoption at Anglo American is supported by the AI Centre of Excellence (AI CoE), which works closely with information management teams. This includes training programmes to help employees use AI tools safely and effectively. For example, a mine supervisor in South Africa shared, “Predictive maintenance has transformed our daily routines. We now spend less time on emergency repairs and more on improving safety and performance.” In Chile, a community leader noted, “Automated ore sorting has reduced waste, helping us protect our local environment and create more value for our community.”
These real-world stories show how responsible AI practices make a difference not just for productivity, but also for safety, sustainability, and community well-being.
Anglo American’s approach to AI is built on responsibility, transparency, and empowerment. By combining the expertise of its workforce with advanced digital tools, the company is shaping a future where humans and AI work together for lasting positive impact. The focus remains on improving productivity, reducing risk, and enabling smarter decisions—while keeping people’s knowledge and problem-solving abilities at the heart of every innovation. Through its AI Centre of Excellence and ongoing commitment to learning, Anglo American ensures that AI adoption is safe, sustainable, and beneficial for all.
