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, [email protected], www.siemens.co.za


Credit(s)



Share this article:
Share via emailShare via LinkedInPrint this page

Further reading:

Bringing physical AI to the factory floor by deploying humanoids in industrial operations
Siemens South Africa Motion Control & Drives
Siemens and Humanoid have marked a landmark milestone in the journey to bring physical AI from vision to industrial reality. Humanoid’s humanoid robothas been successfully tested in operations at Siemens’ electronics factory in Germany, performing autonomous logistics tasks.

Read more...
Siemens ecosystem strengthens data and AI integration
Siemens South Africa IT in Manufacturing
Siemens has announced significant expansions to its Industrial Edge ecosystem, accelerating data and AI integration and releasing enhanced cybersecurity functionalities. These enable a seamless integration of IT and OT environments, optimise processes and reduce operational disruptions.

Read more...
Siemens manages shipbuilding process for HD Hyundai
Siemens South Africa IT in Manufacturing
Siemens has been selected by HD Korea Shipbuilding & Offshore Engineering as a preferred partner to establish an integrated platform to manage the entire shipbuilding process as a single data flow to help ensure consistency across all its global shipyard facilities.

Read more...
Transforming the process industry through digitalisation
Endress+Hauser South Africa IT in Manufacturing
By connecting field devices, systems and people, digitalisation creates new opportunities to optimise operations, enhance maintenance strategies and support continuous improvement. As a leading instrumentation provider and major source of process data, Endress+Hauser plays a key role in enabling this transformation.

Read more...
The OT operator’s guide to security and uptime on the plant
RJ Connect IT in Manufacturing
The article addresses three common questions about industrial network deployment and maintenance, exploring ways to achieve better control and visibility with more efficiency.

Read more...
The assets you can’t see are the ones that can shut you down
IT in Manufacturing
ABEGuardOT is an asset management solution that delivers continuous, non-intrusive visibility across multi-vendor environments, including Siemens, Rockwell, ABB, Honeywell, Schneider Electric, Emerson, GE and Yokogawa, with support for OPC UA, EtherNet/IP, Modbus and Profibus.

Read more...
Edge I/O NTS and the need for industrial speed
Schneider Electric South Africa IT in Manufacturing
One of the most compelling solutions to emerge from industrial automation is Edge I/O NTS, which represents a natural evolution of computing from centralised servers to localised, device-level input/output processing, offering improved speed, efficiency and resilience.

Read more...
The next wave of AI-driven process automation
Schneider Electric South Africa IT in Manufacturing
As process industries hurtle toward an AI-driven future, four powerful trends are set to redefine automation strategies in 2026: hyper automation, AI-first automation, low code/no code platforms, and advanced process intelligence.

Read more...
Huge increase in denial-of-service cyber threats
IT in Manufacturing
NETSCOUT has released its Distributed Denial-of-Service Threat Intelligence report, revealing sophisticated attacker collaboration, resilient botnets and compromised IoT infrastructure that drove more than eight million DDoS attacks worldwide.

Read more...
Sustainable manufacturing
ABB South Africa IT in Manufacturing
ABB’s production facility in Shandong province, China is delivering measurable energy and emissions reductions through the implementation of advanced digital energy management and electrification solutions.

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