The Rise of Autonomous Mining in Africa
South African contractor Master Drilling plans to roll out autonomous raise boring technology in 2026, enabling operators to control underground drilling from the surface. This move is expected to improve safety, increase drilling precision, and accelerate the shift toward fully digitized mining operations.
Across Africa, automation is reshaping mining jobs – not eliminating them. In Mali, the Syama Gold Mine is fully automated underground, while in the DRC, copper operations at the Kamoa-Kakula complex are increasingly managed through remote operating centers. The focus is no longer on job loss, but on how quickly workers can transition to higher-skilled roles overseeing autonomous fleets.
From Pilots to Production
Mining technology firms such as Sandvik and Epiroc have expanded autonomous haulage and drilling systems across African operations since late 2025. Epiroc secured a nearly $41 million order in 2026 for autonomous and electric Pit Viper blasthole drills, signaling a shift from pilot projects to full-fleet modernization.
Sandvik has received multiple AutoMine automation orders from Byrnecut, equipping underground sites with loaders that can be operated remotely from surface control rooms. At Kamoa-Kakula, engineers monitor drilling performance, equipment health, and ore movement in real time. Workers who previously operated machinery underground are retrained to manage systems and analyze production data.
DRC Mining Minister Louis Watum Kabamba has emphasized the sector’s economic and social role: "Mining remains a cornerstone of the national economy through job creation, revenue generation, and community development." Automation supports this by expanding skilled, high-tech employment while aligning with governance reforms and local beneficiation goals.
Autonomous haulage reduces idle time and shifts workforce demand toward control room operators, maintenance specialists, and software-literate technicians. By early 2026, technical roles accounted for a growing share of new hires across automated sites.
Efficiency and Green Mining
Automation is also central to Africa’s green mining push. Systems optimize haulage routes, reduce fuel consumption, and minimize equipment wear – lowering carbon intensity per ton of output.
At Kamoa-Kakula, Ivanhoe Mines and Zijin Mining are targeting 500,000 tons of copper per year from 2028. Precision mining and automation allow more efficient extraction while reducing energy waste and environmental disturbance.
South African operators like Sibanye-Stillwater are linking automation with renewables, signing long-term agreements to wheel 600 GWh of solar and wind power annually through Etana Energy. This combination stabilizes power for heavy loads while reducing emissions.
Investment in African mining increasingly ties returns to environmental performance. Automated efficiency and energy optimization are now central to meeting investor and regulatory expectations.
Safer Jobs, Stronger Skills
The most immediate impact of automation is on worker safety. Remote-controlled drilling and autonomous haulage remove employees from high-risk underground environments. Predictive maintenance systems further reduce accidents.
At Syama Gold Mine, autonomous haulage trucks and AutoDig loaders have moved nearly all personnel to surface control rooms. Zero lost-time injuries have been recorded, and machines now operate up to 22 hours daily. Operators now work with AI-enhanced dashboards, predictive alerts, and digital twin simulations. By early 2026, local Malian workers have retrained on high-fidelity simulators, maintaining nearly the full 1,500-person workforce while gaining skills in fleet supervision, monitoring, and real-time decision-making.
Across Africa, miners are transitioning from traditional underground roles to skilled positions in supervision, systems monitoring, and data analysis – demonstrating that automation is expanding career opportunities, strengthening local talent pipelines, and supporting safer, greener, and more efficient mining operations.





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