African Mining Week 2026 Puts Artificial Intelligence at the Center of Africa’s Critical Minerals Push

African Mining Week 2026 will place artificial intelligence at the heart of discussions on how Africa can accelerate the discovery and development of critical minerals. Organisers say AI-driven exploration tools are being rolled out across the continent to speed up mineral findings, lower perceived risk, and unlock resources that remain largely untapped.

AI moves from concept to conference theme

The event will feature a dedicated conference track titled “Leveraging Advanced Technologies and AI to Transform Mining Practices for Sustainable Growth.” It is designed to bring together investors, regulators, technology firms, and project developers to examine how AI in mining exploration is reshaping industry practices.

Democratic Republic of Congo leads momentum

Organisers point to the Democratic Republic of Congo as a focal point for AI-enabled exploration. The country is positioning AI-powered mineral search as part of its long-term mining strategy.

At last year’s African Mining Week, Minister of Mines Louis Watum Kabamba said AI could reduce mineral discovery timelines to under three years. He also highlighted plans to unlock nearly 90% of the country’s geological potential—described as more than $24 trillion in untapped mineral wealth.

Those ambitions are beginning to translate into projects. The DRC has partnered with Xcalibur Smart Mapping to deploy advanced geospatial technologies aimed at improving exploration efficiency and reducing investment risk for critical mineral mapping. The country is also collaborating with US-based KoBold Metals, which uses AI to identify high-value deposits in complex geological settings, including lithium and copper-rich zones.

Zambia, Ghana, Botswana and Burundi broaden applications

The use of AI in mineral exploration is not confined to the DRC. Across other parts of Africa, governments are integrating digital tools into national mining strategies.

In Zambia, KoBold Metals is applying AI to the Mingomba Copper Project to identify high-grade copper zones. The initiative supports Zambia’s goal of reaching three million tonnes of annual copper production by 2031.

In Burundi, KoBold Metals and Lifezone Metals are working to digitize national geological databases and evaluate the Musongati Nickel Project, estimated at around 140 million tonnes of resource potential. Organisers describe this as an example of how AI-driven geology systems can help unlock deposits that have been less developed.

In Ghana, national agencies including the Ghana Gold Board and the Ghana Geological Survey Authority are using AI-based mineral prospectivity modelling to assess exploration targets in areas such as Funsi, Atuna, and Bensere East. The effort is framed as supporting Ghana’s strategy to strengthen its position among Africa’s leading gold producers.

Botswana is also using machine learning-based exploration systems as it looks beyond diamonds. Botswana Minerals has identified eight previously unrecognized copper deposits using these technologies—an outcome presented as supporting a shift toward critical minerals.

Why investors are watching: faster discovery and lower risk

Organisers link the technological shift to large underlying resource potential. They estimate Africa holds approximately $8.5 trillion in untapped mineral resources, including major reserves referenced as [[PRRS_LINK_5]], [[PRRS_LINK_6]], [[PRRS_LINK_7]], and [[PRRS_LINK_8]].

Africa currently accounts for roughly 30% of global critical mineral supply, while global demand is expected to triple by 2030 due to electrification, battery manufacturing, and clean energy expansion. Within that context, organisers argue that AI can help reduce exploration timelines and lower the cost of identifying viable projects—particularly important in early-stage exploration where uncertainty and capital risk are highest.

They also note that analysts see value beyond discovery: once mines move into production, machine learning tools can optimize extraction, improve safety outcomes, and enhance resource recovery rates across the mining value chain.

A structural change in how resources are developed

The growing use of AI in African mining exploration signals what organisers describe as a broader structural shift in resource development. Rather than relying only on traditional geological surveys, companies and governments are increasingly adopting data-driven approaches intended to accelerate discovery and improve investment decisions.

This transformation is also framed as strengthening Africa’s role in global supply chains for next-generation energy transition technologies. With vast reserves referenced as [[PRRS_LINK_9]] essential for energy transition applications, organisers say Africa is becoming a central hub for critical minerals needed beyond conventional industrial demand.

As African Mining Week 2026 prepares to spotlight these developments, organisers’ message is clear: mining’s future will be shaped not only by what lies underground across the continent, but by how effectively artificial intelligence can help unlock it.