Will AI replace Loading and Moving Machine Operators, Underground Mining?
Estimated risk score: 9 out of 100
Very low replacement risk
Estimate from published task research, not reviewed by a person · how we estimate
Within about 19 points for 4 in 5 of the jobs we checked (0 to 28).
For the occupation as a whole, from ratings of its 28 O*NET tasks published in 2023 and calibrated to our hand scores. A specialty inside it can sit higher or lower.
O*NET-SOC 47-5044.00 · Construction and Extraction
Tasks rated in 2023 as ones AI could do or speed up
Tasks a GPT-4-class model could do, or do in half the time or less: 1 of its 28 rated tasks. In O*NET’s words.
- Maintain records of materials moved.
Tasks rated in 2023 as not sped up by AI
Tasks such a model was rated as not speeding up or taking over: 27 of its 28 rated tasks; the first 6 are shown. In O*NET’s words.
- Clean hoppers, and clean spillage from tracks, walks, driveways, and conveyor decking.
- Clean, fuel, service, and perform safety checks on all equipment, and repair and replace parts as necessary.
- Control conveyors that run the entire length of shuttle cars to distribute loads as loading progresses.
- Drive loaded shuttle cars to ramps and move controls to discharge loads into mine cars or onto conveyors.
- Drive machines into piles of material blasted from working faces.
- Examine roadway and clear obstructions from the path of travel.
What the job is
Operate underground loading or moving machine to load or move coal, ore, or rock using shuttle or mine car or conveyors. Equipment may include power shovels, hoisting engines equipped with cable-drawn scraper or scoop, or machines equipped with gathering arms and conveyor.
Also called: Shuttle Car Operator, Load Haul Dump Operator (LHD Operator), Buggy Man, Car Dumper, Joy Loader, Car Dropper, Cart Driver, Muck Hauler.
Closest jobs we score by hand
In the same field (Construction and Extraction). Different jobs, each scored by a person.
Source. This site includes information from the O*NET 30.1 Database by the U.S. Department of Labor, Employment and Training Administration (USDOL/ETA). Used under the CC BY 4.0 license. O*NET® is a trademark of USDOL/ETA. USDOL/ETA has not approved, endorsed, or tested these modifications. (O*NET, CC BY 4.0.) Task ratings: Eloundou, Manning, Mishkin and Rock (2023), “GPTs are GPTs: An Early Look at the Labor Market Impact Potential of Large Language Models”, data used under the MIT licence (licence texts). Our change: we averaged the ratings over this occupation’s tasks and calibrated them to our 0–100 scale. It is not a prediction about any one person and not career advice. Disagree? Write to hello@yourstopwashit.com. How we estimate