South African Mining Sector Slow to Adopt AI Despite Clear Benefits, PwC Report Reveals

A recent PwC South Africa report indicates that two-thirds of the country's mining CEOs have not yet implemented Artificial Intelligence solutions, with nearly 70% of mines rating their AI readiness as poor. The primary barriers identified are not technological limitations, but rather critical shortages in digital skills and inadequate data management capabilities. This trend contrasts with a more optimistic narrative often presented about AI adoption in African mining, suggesting that widespread implementation is still in its early stages for most operators.

The report, titled "Ten insights into 4IR in South African mining 2026: AI: Powering the future," is based on qualitative research including interviews with 10 mining CEOs and focus groups. It emphasizes that AI is seen as a tool for business transformation, enhancing human capabilities in areas like equipment reliability, safety, and operational decision-making, rather than a means for job displacement or mere cost-cutting. This perspective highlights a strategic shift where AI is viewed as a revenue-generating asset that strengthens the workforce.

PwC stresses that successful AI integration requires executive-level strategic leadership, not just delegation to IT departments. The study found that almost half of CEOs consider their AI strategies only "average," and a significant majority of respondents rated their data management as poor, which is a critical prerequisite for effective AI deployment. The report calls for substantial investment in continuous digital skills development and AI literacy to bridge these gaps.

This localized finding in South Africa mirrors broader patterns observed by PwC across African businesses, where there's high intent for AI adoption but constrained investment compared to global leaders. The report concludes that the future value of AI in South African mining hinges on leadership commitment, robust skills development, and improved data governance. The industry must accelerate its pace to fully leverage AI's transformative potential and remain competitive.