African Mining April 2026 | Page 21

TECHNOLOGY •
Skills development and local capacity building remain fundamental challenges. Many African mines face shortages of automation technicians, instrumentation specialists, data scientists, and process control engineers. While local content requirements support economic development, they can slow technology adoption if skills development lags behind innovation. Mines that succeed invest early in workforce upskilling, partner with universities and technical colleges, and support vendor-led training, apprenticeships, and bursary programmes to ensure long-term sustainability.
Adoption under real-world constraints Technology adoption in African mining rarely occurs under ideal conditions. Mines are adopting new systems while contending with declining ore grades, increasing depth and distance from shafts, rising energy costs, heightened safety expectations, and stricter environmental compliance. These pressures create urgency but leave little tolerance for downtime, making poorly integrated technologies unacceptable.
Bridging the gap between pilots and sustained adoption requires tailored implementation strategies. Co-designing workflows with operators significantly improves adoption by ensuring technologies are practical, usable, and aligned with real operational needs. When operators are involved early, expectations are realistic and resistance is reduced.
Vendor integration and long-term support are equally critical, particularly given the remoteness of many operations. Local service centres, spare parts availability, on-site technical support, and robust remote diagnostics help maintain continuity and resolve issues quickly.
Rather than large, disruptive deployments, successful mines favour phased rollouts. Incremental implementation allows teams to build confidence, refine processes, and adjust training while limiting operational risk. Aligning technology initiatives with production incentives is also essential. If KPIs reward only short-term tonnage, operators may resist technologies that introduce temporary slowdowns. Incentive structures must recognise long-term efficiency, safety and sustainability gains.
Case insights from African mines Experience across African operations highlights several consistent lessons. Technology gains traction when it addresses a genuine operational pain point, such as safety risks, production bottlenecks, high labour costs, or energy inefficiency. Solutions that clearly solve real problems are more readily embraced.
The effectiveness of digital systems also depends on data quality. Mines that invest in reliable sensors, calibration, and data governance scale technology more successfully. Collaboration further accelerates adoption. Engagement with industry bodies, including the Minerals Council South Africa, enables knowledge sharing, reduces duplication, and spreads best practice across the sector.
The road ahead Several trends are set to accelerate scalable technology adoption in African mining. Regulatory sandboxes will allow controlled experimentation without immediate compliance penalties, while regional harmonisation of technology standards will reduce crossborder barriers. Growth in local manufacturing and assembly will lower costs, strengthen supply chains, and produce equipment better suited to local conditions.
Artificial intelligence and predictive analytics will increasingly be used to optimise operations, improve maintenance planning and enhance decision-making. Ultimately, technology scales successfully when it is supported by a strong ecosystem: resilient infrastructure, regulatory clarity, reliable pilot-to-plant pathways, and sustained investment in people.
For African mines, scalable technology is no longer optional. It is essential for long-term competitiveness and operational resilience. •
References:
1. Bench scale / Pilot Plant Trials Prominer Mining Technology( n. d.) Bench scale to pilot plant trials for complex gold copper ore in Africa. Available at: https:// www. prominertech. com /
2. Ghana – Digital Tracking Regulations( L. I. 2404) Government of Ghana( 2020) Minerals and Mining( Mineral Operations – Tracking of Earth Moving and Mining Equipment) Regulations, 2020( L. I. 2404). Ghana Legal Information Institute( GhaLII). Available at: https:// ghalii. org / gh / legislation / li / 2020 / 2404
3. Ghana – GPS Tracking Implementation( 2025) Agyeman, N. K.( 2025)‘ Mining equipment to be fitted with tamper proof GPS tracker’, Graphic Online, 18 July. Available at: https:// www. graphic. com. gh / news / generalnews / mining-equipment-to-be-fitted-with-tamper-proof-gps-tracker. html
4. Ghana – National Mine Equipment Tracking System( 2024 – 2025) Ministry of Lands and Natural Resources( 2024 – 2025) National Mine Equipment Tracking System rollout announcements. Government of Ghana.
5. Mali – Suspension of Foreign Artisanal Mining Permits Ghana News Agency( 2025)‘ Mali suspends artisanal mining permits granted to foreigners’, GNA, 7 March. Available at: https:// gna. org. gh Channel Africa / Reuters( 2025)‘ Mali suspends artisanal mine permits for foreigners after accidents’, Channel Africa, 6 March. Available at: https:// www. channelafrica. co. za
6. South Africa – Technology Adoption & Critical Success Factors Nyasha, S. and Lumadi, V. W.( 2024)‘ Technology and growth in the South African mining industry: An assessment of critical success factors and challenges’, Journal of the Southern African Institute of Mining and Metallurgy. Available at: https:// www. saimm. co. za
7. Regulatory Frameworks & Technology Adoption in Africa African Mining Policy Review( 2025) How regulatory frameworks in Africa affect adoption of modern mineral mining technologies.( Industry report).
What scalable mining technology actually needs
• Power and connectivity that don’ t blink
• Rugged hardware built for heat, dust and vibration
• Clear rules for automation, drones and data
• Local support, spares and fast fault resolution
• Skills pipelines that keep pace with innovation
Bottom line: If the ecosystem isn’ t ready, the tech won’ t be either.
Artificial intelligence and predictive analytics will increasingly be used to optimise operations, improve maintenance planning and enhance decision-making.
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