The AI Impact Timeline: What to Expect
The automation of underground mining tasks is a phased process. By 2034, approximately 42% of all tasks will be affected. This includes the widespread deployment of autonomous mining vehicles and remote-operated machinery, significantly altering the operational landscape. AI-powered ore detection and robotic drilling systems will further streamline processes, reducing the reliance on manual intervention.
The early wave of automation, starting as early as 2030, will primarily impact entry-level operators in large-scale coal and metal mining operations. These roles are most susceptible to displacement due to the standardization of tasks that can be easily managed by autonomous systems.
Mid-wave transformation will see more complex geological environments and specialized roles affected. While initial displacement might occur around 2030, maintenance technicians and operators in challenging terrains can anticipate their careers extending towards 2039 due to the need for human oversight and complex problem-solving.