Key findings
Generative artificial intelligence (GenAI) is set to impact, rather than transform, the work of Excavating and Loading Machine and Dragline Operators in surface mining.
Blue-collar workers in this field are unlikely to be automated due to the physical nature of their tasks.
The unique automation wave of GenAI may even increase demand for these workers, leading to a rise in their income share.
While some skills may be automated in the future, tasks such as equipment maintenance, troubleshooting, and equipment selection require human judgment and decision-making.
As technology advances, automation may streamline certain aspects of the job, but the core skills of critical thinking, coordination, and complex problem-solving will remain essential for blue-collar workers in surface mining.
How could AI or automation replace or complement job activities?
While AI, automation, or LLMs like Chatgpt could not fully replace Excavating and Loading Machine Operators, they could enhance certain tasks.
These technologies could streamline equipment inspections, provide real-time data on machine capabilities, and offer safety reminders.
For instance, they could assist in adjusting dig face angles for different depths, improving efficiency and accuracy in surface mining operations.
Job description
Operates machinery at a surface mining site, using scoops, shovels, or buckets to dig and load loose materials.
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