Excavating and Loading Machine and Dragline Operators, Surface Mining
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Operate or tend machinery at surface mining site, equipped with scoops, shovels, or buckets to excavate and load loose materials.
The occupation "Excavating and Loading Machine and Dragline Operators, Surface Mining" is assigned an automation risk of 34.0%, slightly lower than the base risk of 34.4%. This suggests that while many aspects of the job are susceptible to automation, significant portions of the work remain reliant on human skills and judgment. A key factor influencing the automation risk is the nature of the equipment used and the mining environment, which often requires adapting to changing physical and safety conditions. Although autonomous vehicles and tele-operated machinery are advancing, full automation across different surface mining conditions is not yet feasible. The top three most automatable tasks for this occupation include operating power machinery through levers, pedals, and dials; setting up or inspecting equipment prior to use; and understanding machine capabilities, limitations, and digging procedures for application. These tasks are generally structured, repetitive, and rule-based, making them highly suitable for automation through robotics, sensors, and programmable controls. Automated systems can already perform many of these functions with precision and consistency, especially in well-mapped or predictable environments typical in parts of surface mining operations. Conversely, the most automation-resistant tasks are those that require flexibility, real-time problem solving, or physical intervention. These include manually shoveling materials to prepare or finish sites, driving machines to various work locations, and adjusting dig face angles to accommodate varying overburden depths and set lengths. These tasks depend on adaptability, physical dexterity, and on-the-spot decision making, especially in unstructured or dynamic mining settings. Bottleneck skills such as originality—scored at only 2.0% and 2.1%—highlight a modest but critical need for creative thinking and adaptability within the occupation. These skills serve as barriers to full automation, ensuring that human involvement will remain a necessary component of surface mining operations for the foreseeable future.