Mining’s digital future is no longer optional

Mining has long formed the bedrock of civilisation, yet in many respects it remains stuck in the Stone Age. 

The future demands a decisive shift to the digital age. 

• Click here to learn more about the NWU Centre for Sustainable Mining.

By integrating predictive analytics and autonomous systems, we can move beyond legacy constraints, thus, transforming operational efficiency into long-term environmental and economic resilience

In South Africa, that transition is lagging. 

Skills gaps and a shortage of professionals with expertise in artificial intelligence and digital technologies continue to constrain progress in a sector that cannot afford to fall behind.

“We need to urgently rectify this if we are to stay competitive in this evolving industry,” said Dr Sihe Nhleko, Director of the North-West University’s (NWU) Centre for Sustainable Mining.

^{Dr Sihe Nhleko, Director of the NWU Centre for Sustainable Mining}

He is not overstating the case. 

Mining contributes roughly 7–8% to GDP directly, rising to 15–20% when indirect impacts are included, accounts for around 50–60% of export earnings, and supports about 470,000 direct jobs, with millions more dependent on it indirectly.

Yet the sector continues to underperform, constrained by persistent energy shortages, logistics bottlenecks (most notably at Transnet), illegal mining and regulatory uncertainty.

What is required is not simply intervention, but smarter intervention.

“Intelligent mining systems refer to a fully integrated and smart operational ecosystem,” Dr Nhleko explained. 

“Traditionally, mining operations have been siloed, with each department monitoring its own processes.” 

“Intelligent systems shift this towards integration, where data flows seamlessly across the entire mining value chain, enabling real-time, data-driven decision-making.” 

“This allows us to reconcile competing priorities such as safety and efficiency,” added Dr Nhleko. 

“We all agree that people must go home safely, but at the same time the mine must remain profitable.” 

“With better insights, we are able to make informed decisions that balance these priorities.”

Reshaping industries

In collaboration with industry, policymakers and communities, the North-West University’s Centre for Sustainable Mining is reshaping how mining operates. 

Its focus is not technology for its own sake, but its purposeful application. 

Drones, sensor networks and machine-learning models are used to map terrain, predict equipment failure and optimise material flows in real time. 

The results are tangible: lower costs, fewer emissions and safer working conditions. 

The initiative also strengthens local economies and produces graduates equipped with practical, digital skills.

It does, however, raise the question: will these smart mining initiatives will result in job losses in a country that can ill afford it?

“This is not about job loss, but about job transition,” said Dr Nhleko. 

“Artificial intelligence and automation will change certain roles, but they will also create new ones.” 

“Human judgement, creativity and oversight remain essential. Even when using generative AI, we still need people who can interpret and validate the outputs.” 

“We need to focus on upskilling and reskilling. People with operational experience are valuable and should not simply be displaced,” added Dr Nhleko. 

“Their expertise should be augmented with technology. These skills are also transferable to other sectors such as manufacturing and renewable energy.”

Supporting intelligent mining

This is not a quick fix. The existing skills gap cannot simply be plugged but requires continuous upskilling and reskilling.

“The second challenge is cost. Developing intelligent systems requires significant capital investment, particularly for infrastructure, which can be a major barrier for smaller operators,” said Dr Nhleko. 

“This is why the NWU is planning to establish an Intelligent Mining Systems Operations Centre in Rustenburg, to provide support and reduce costs for those who cannot develop these systems internally.”

He further states that the implementation of intelligent mining initiatives holds both human safety and environmental benefits.

“Artificial intelligence and machine learning are particularly important. By collecting data in real time, we can develop models that optimise mineral resource recovery while minimising environmental impact,” said Dr Nhleko. 

“Instead of waiting until mine closure to focus on rehabilitation, we can address environmental impacts while operations are still ongoing.” 

“AI-driven predictive maintenance allows us to forecast equipment failures before they occur, reducing costs associated with unplanned breakdowns and extending the lifespan of equipment.” 

“Sensors and Internet of Things technologies enable real-time data collection, while automation allows repetitive tasks to be handled by machines, enabling skilled individuals to focus on solving more complex problems,” added Dr Nhleko. 

“Robotics can also remove people from dangerous environments, improving safety.”

The benefits of this approach are clear, and so are the obstacles. The question is no longer whether mining should go digital, but whether South Africa can afford not to.

Click here to learn more about the NWU Centre for Sustainable Mining.