AI in mining: turning potential into practical progress

Mining operations depend on stability, insight and timely intervention. While AI has attracted significant attention across the sector, it delivers real value in mining where it strengthens those fundamentals - using real-time signals, operational data and domain knowledge to support safer operations, more predictable performance and better overall resource efficiency.

That impact matters most when it shows up shift after shift - reflected in sustained improvements in core KPIs, including equipment uptime, energy efficiency, water recovery and wear life.

Today, AI is already being applied in mining operations to:

• Update plans as understanding of a mine's geology evolves, using AI-enabled models to improve mine design, scheduling and resource confidence across surface and underground operations
• Spot performance issues early in load, haul, grinding and classification, and isolate the causes behind lost throughput, rising energy use or wear
• Detect emerging changes in processing behaviour, helping to maintain stable classification and grinding performance
• Predict equipment and process risks before they escalate, using operational data and AI models to reduce unplanned downtime and stabilise performance

AI adoption is visible across the sector. Large miners are using AI to analyse geological data, improve safety and optimise asset reliability - and Weir is directly supporting customers as these applications move into day-to-day operations.

How AI applications create value across the mining process

Turning operational data into insights

By combining mine planning data, live process information and equipment health signals, AI gives teams a clearer, day-to-day view of operational performance. This makes it easier to understand how small changes in conditions or behaviour will impact throughput, recovery or stability later in the flowsheet. Predictive models and virtual measurements extend this insight by forecasting outcomes and estimating values that are not directly measured.

Detecting issues earlier

AI-enabled wear sensing, performance monitoring and anomaly detection provide early visibility into emerging issues across both mobile equipment and fixed plant. This creates time to respond - before performance degrades or failures occur - rather than reacting after the fact.

Prioritising operational action

AI helps operators, metallurgists and maintenance teams prioritise attention, highlighting where intervention will have the greatest impact. By surfacing patterns, risks and trade-offs that are difficult to see in complex, fast-moving operations, AI sharpens day-to-day operational decision-making.

One example is AI-driven predictive maintenance improving slurry pumping reliability in live operations. By forecasting impeller wear and detecting early signs of pump-related issues, AI enables earlier intervention, more predictable maintenance planning and fewer unplanned stoppages. The result is higher equipment uptime and more stable plant performance over time.

How AI fits into real mining workflows

These applications create the greatest impact when they are deployed within how mines already plan, operate and intervene. Mining operations rely on established workflows - from geological modelling and mine planning to stable, reliable plant performance. AI is most effective when it fits those workflows, integrating with existing systems, everyday decision points, data streams and mixed OEM environments.

Adoption typically starts with a clearly defined operational problem, proves its value in live production, and then scales at a pace that suits the site. This approach improves performance without adding complexity and allows teams to incorporate AI-driven insight into existing roles and routines.

Why Weir has real-world AI experience

Weir applies AI across the flowsheet by combining engineering expertise, deep domain knowledge and digital solutions deployed in live operations.

This engineering-led approach shapes how Weir delivers AI responsibly. Customers gain confidence when their partner understands the operational realities of mining and can deploy technology securely and reliably at scale. Clear data lineage, transparent recommendations and robust cybersecurity ensure AI outputs remain dependable as operating conditions change.

This is already evident in how AI is deployed across Weir's digital solutions portfolio. Within Micromine® software, MOTION METRICS™ technology and NEXT intelligent solutions, AI and computer vision are embedded in software and ruggedised hardware operating in live mine environments - supporting activities from planning and design to real-time monitoring, safety and equipment optimisation.

From performance to continuous optimisation

Our AI-enabled solutions are already delivering results in customer operations, reducing unplanned downtime, improving maintenance predictability and delivering more consistent operational performance.

Building on this foundation, we are extending our role beyond product delivery to the continuous optimisation of customer operations - reducing total cost of ownership and improving sustainability outcomes over the asset lifecycle, aligned with Weir's commitment to deliver mining technology for a sustainable future.

The same discipline underpins how we apply AI inside Weir. We use AI, digital twins and advanced analytics to improve product design, manufacturing and lifecycle performance. Generative AI already supports teams across our business. Further gains will come from supervised AI agents, with human oversight remaining essential.