Will AI replace Continuous Mining Machine Operators?
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 15 O*NET tasks published in 2023 and calibrated to our hand scores. A specialty inside it can sit higher or lower.
O*NET-SOC 47-5041.00 · 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: 0 of its 15 rated tasks. In O*NET’s words.
None of its rated tasks.
Tasks rated in 2023 as not sped up by AI
Tasks such a model was rated as not speeding up or taking over: 15 of its 15 rated tasks; the first 6 are shown. In O*NET’s words.
- Check the stability of roof and rib support systems before mining face areas.
- Conduct methane gas checks to ensure breathing quality of air.
- Drive machines into position at working faces.
- Hang ventilation tubing and ventilation curtains to ensure that the mining face area is kept properly ventilated.
- Move controls to start and regulate movement of conveyors and to start and position drill cutters or torches.
- Operate mining machines to gather coal and convey it to floors or shuttle cars.
What the job is
Operate self-propelled mining machines that rip coal, metal and nonmetal ores, rock, stone, or sand from the mine face and load it onto conveyors, shuttle cars, or trucks in a continuous operation.
Also called: Continuous Miner Operator (CMO), Continuous Mining Operator (CMO), CMO, Dozer Operator, Mine Technician, Continuous Miner, Bore Miner Operator, Forklift Wheel Loader.
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