Construction · SOC 47-5022
Heavy excavation machine operation in uncontrolled surface environments resists automation far more than its heuristic score suggests.
Hands-on, interpersonal or high-stakes work AI struggles to replace.
Timeline: GPS-guided autonomous excavators exist in controlled mining contexts, but general surface-site autonomy is a decade away from broad deployment.
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$51,990 median pay
$55,440 median pay
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$49,140 median pay
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AI job-risk card
Excavating and Loading Machine and Dragline Operators, Surface Mining is resilient on AIFear. Hands-on, interpersonal or high-stakes work AI struggles to replace.
AIFear.com
Our AI Fear Score for Excavating and Loading Machine and Dragline Operators, Surface Mining is 18/100 (Resilient). Hands-on, interpersonal or high-stakes work AI struggles to replace.
18 out of 100, based on an AI-model review of this occupation's O*NET tasks against what current AI can actually do.
Most exposed: Receiving and parsing written or oral movement instructions, Measuring and recording excavation levels and volumes. Harder to automate: Real-time lever and pedal control of large machinery, Adapting to variable terrain and unexpected obstacles, Reading visual signals and grade stakes in the field, Pre-operation equipment inspection and setup.
Lean into Heavy excavation machinery, Site surveying basics, Equipment inspection and safety, GPS-guided grading systems. Consider roles such as Construction equipment supervisor or Mining operations foreman or Site safety coordinator.
Tasks, skills and AI-exposure for this role were reviewed by an AI model against its O*NET task profile (curated roles use published research anchors). Pay and employment, where shown, are U.S. BLS OEWS (May 2024) figures. This is an estimate, not a prediction about any individual's job. Compare all occupations.