IT in Manufacturing


Unearthing AI’s real value in African mining

March 2026 IT in Manufacturing

Few industries carry the weight of expectation that mining does in Africa, but the sector also carries a legacy of risk. According to the Minerals Council South Africa, the country’s mining industry has reduced fatalities by 91% since 1994, from 484 deaths to a record low of 42 in 2024. However, as the Council reminds us, 42 is still 42 too many. The question is whether AI can help close that gap, and how responsibly and how quickly it can do so.

This question was at the heart of the Mining Indaba 2026 panel discussion, ‘AI in Mining – Separating the Hype from Reality’, where miners and technology innovators explored how partnerships are turning AI’s potential into meaningful operational impact. For Siemens, the answer begins with a clear-eyed view of what AI can and cannot do, and a commitment to deploying it where it matters most: keeping people safe.

Understanding what AI is already delivering

The hype around AI in mining is real, but so are the results. One of the most established use cases is predictive maintenance. According to McKinsey findings, AI-driven predictive maintenance can reduce equipment downtime by up to 50% and lower maintenance costs by 10 to 40%.

In practical terms, this means fewer reactive interventions, less worker exposure to hazardous equipment, and operations that run more reliably. For a sector where the United Nations Environment Programme estimates Africa holds approximately 30% of the world’s mineral reserves, reliable operations are a commercial concern and an economic imperative.

From manual labour to intelligent machines

Siemens’ 2040 View of South Africa research paints a compelling picture of where the industry is heading. By 2035, an estimated 35% of mining jobs will be automated by a range of emerging technologies, while 50% of roles will require significantly less human interaction. Autonomous haul trucks, self-driving drillers, drones and robots will increasingly take over in harsher environments, making working conditions safer for human miners.

The research further indicates that 30 to 40% of mining machinery could be autonomous by 2040. Visualisation tools based on AI, augmented reality and virtual reality will help miners locate minerals and develop better operational strategies, while wearable technologies will guide workers with real-time information. Up to 40% of mines will use digital twins to simulate processes, detect danger and determine the next best actions, especially in rough terrain.

As physical human labour is progressively phased out by robotic systems, the reskilling of today’s workforce becomes a clear investment priority in the mission to achieve a safe Just Transition. Humans, in turn, will do more meaningful, skilled and creative work, shifting from manual operation to systems oversight, data analysis and remote operations management.

Technology is nothing without partnership

However, even the most advanced AI is only half the solution. The real power of AI in mining lies not just in the technology but in the partnerships that bring it to life. AI does not scale through point solutions. It requires integrated systems, governed data, long-term commitment and collaboration between miners and technology innovators.

For Siemens, this means operating as a technology partner to mining companies, integrating electrification, automation and digitalisation so that AI supports safer, lower-carbon and more resilient operations without adding complexity. In a sector where Africa supplies a dominant share of materials critical to the global energy transition, the stakes extend well beyond individual mine sites.

A vision for Africa’s mining future

The road ahead is challenging, but the direction is clear. Africa’s mining sector will continue to evolve, and what differentiates the next phase is the speed and scale at which AI and workforce transformation are converging.

Africa must seize every opportunity for innovation to make this vision a reality. Mining is the backbone of many of the continent’s economies, and it is vital to the livelihoods of millions. By embracing AI responsibly and forging strong partnerships today, we can build a mining industry that is safer and more prosperous for generations to come.

For more information contact Siemens South Africa, cbcqueries.za@siemens.com, www.siemens.co.za


Credit(s)



Share this article:
Share via emailShare via LinkedInPrint this page

Further reading:

How to navigate the high-stakes economics of AI infrastructure
IT in Manufacturing
Nearly 60% of data centre operators are expected to adopt liquid cooling within five years as AI workloads drive demand for higher rack densities. Understanding the full financial picture of liquid cooling, from capital investment to long-term operational savings, is now essential.

Read more...
Sinamics G210X for advanced pump, fan and compressor applications
Siemens South Africa Motion Control & Drives
Siemens has introduced the Sinamics G210X, a frequency converter for pump, fan and compressor applications combining easy engineering, IP55 protection and integrated S2 system redundancy for reliable operation in demanding infrastructure environments.

Read more...
Protecting the digital mine
RJ Connect IT in Manufacturing
As mining becomes increasingly connected and automated, cyber threats are emerging alongside the benefits of digitalisation. RJ Connect and provides rugged networking, edge computing and cybersecurity technologies from MOXA to help protect critical mining operations from evolving attacks.

Read more...
SICK launches AI-powered 3D quality inspection
SICK Automation Southern Africa IT in Manufacturing
SICK has combined deep learning with 3D height data analysis in its Nova machine vision platform.

Read more...
Predictive maintenance is the critical enabler for AI data centre liquid cooling systems
IT in Manufacturing
As liquid cooling becomes essential for AI data centres, predictive and condition-based maintenance are emerging as critical enablers of thermal stability. Schneider Electric argues that the infrastructure is already generating the data needed and the question is whether operators are equipped to use it.

Read more...
Siemens software scales with Simple Energy EV development
Siemens South Africa IT in Manufacturing
: Simple Energy, an Indian electric two-wheeler manufacturer, has expanded its use of Siemens Xcelerator software to manage complex vehicle variants and enterprise-level bills of materials, accelerating product development as its EV portfolio scales.

Read more...
ESG as a growth lever
RS South Africa IT in Manufacturing
Leading organisations are treating ESG not as a compliance obligation but as a practical tool for operational efficiency, supply chain resilience and business performance, with data and collaboration central to unlocking its value.

Read more...
Preparing Africa’s data centres for the demands of autonomous AI
Schneider Electric South Africa IT in Manufacturing
Africa’s data centre infrastructure must evolve significantly to support agentic AI workloads, with GPU-intensive computing, advanced cooling and reliable power demanding a fundamentally different approach to facility design and investment.

Read more...
Pomini Tenova and Siemens advance roll grinder technology
Siemens South Africa News
Pomini Tenova and Siemens strengthen their long-standing partnership to support the revamping and modernisation of roll grinders with advanced CNC and automation technology.

Read more...
Virtualising the control room to reshape building management systems
Schneider Electric South Africa IT in Manufacturing
Schneider Electric explains how virtualising building management systems frees facilities teams from ageing hardware, delivers stronger cybersecurity and enables portfolio-wide control from a single interface.

Read more...









While every effort has been made to ensure the accuracy of the information contained herein, the publisher and its agents cannot be held responsible for any errors contained, or any loss incurred as a result. Articles published do not necessarily reflect the views of the publishers. The editor reserves the right to alter or cut copy. Articles submitted are deemed to have been cleared for publication. Advertisements and company contact details are published as provided by the advertiser. Technews Publishing (Pty) Ltd cannot be held responsible for the accuracy or veracity of supplied material.




© Technews Publishing (Pty) Ltd | All Rights Reserved