Key findings
Generative artificial intelligence (GenAI) will impact but not transform the work of Loading and Moving Machine Operators in Underground Mining.
Blue-collar jobs like this are unlikely to be automated by GenAI due to its inability to perform physical tasks.
The unique automation wave of GenAI may even increase demand for blue-collar workers as premium goods and services grow.
Skills like Information Ordering and Operations Monitoring could be automated in the future, but tasks requiring Critical Thinking, Coordination, and Equipment Maintenance will continue to rely on human workers.
How could AI or automation replace or complement job activities?
The tasks of Loading and Moving Machine Operators, Underground Mining involve handling high voltage sources, driving loaded shuttle cars, and clearing obstructions.
While AI or LLMs like Chatgpt could enhance some processes, they may not fully replace the human touch needed for tasks requiring physical dexterity, decision-making, and adaptability.
For instance, they could assist in monitoring loading processes to ensure accuracy, maintaining equipment, or recording materials moved.
Job description
Operates underground machines to load coal, ore, or rock using shuttle, mine car, or conveyors. Machines may include power shovels, hoisting engines with cable-drawn scraper, or machines with gathering arms and conveyor.
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