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Do you agree with the AI automation risk score calculated for this occupation?
AI Automation Index
Task-level automation exposure for Loading and Moving Machine Operators, Underground Mining: 25 O*NET tasks scored against their work activities, plus the simulator.
Automation Exposure
25 of 25 tasks scored
Median Salary
BLS OEWS, May 2025 — this exact occupation
Employment Level
5,930 people hold this job — size, not growth
Projected 2025–35
400 openings a year · BLS line item
BLS OEWS publishes 20 state estimates for this occupation. Each is its own survey estimate, not the national median adjusted for local prices.
$44,760 – $112,110
Highest medians
Lowest medians
State figures come from the 47-5044 row in the May 2025 state panel. States where the estimate was suppressed or too small to publish are absent.
Each task is mapped to its work activities, scored for AI automation potential, and weighted by how important those activities are to the job. These are the components.
Importance-weighted mean of the scored tasks. This is the headline index.
Share of weighted tasks in hands-on or machine-operating work activities.
Share in analysis, decisions, teaching, directing, advising, or caring for others.
Share in documenting, recording, and administrative activities.
Share of weighted tasks O*NET rewrote in a recent update. Reported, not folded into the score.
O*NET's own rating of how serious an uncorrectable mistake would be here — respondents, not us. Deliberately not in the index: the score measures what AI can do with the task content, and multiplying it by stakes would be our judgment dressed as data.
25 tasks for this occupation, weighted by work-activity importance. Shares below are of total task weight, not task count.
3 tasks
1 tasks
21 tasks
Move your week away from the high-exposure tasks and toward the ones that need judgment. The simulator recalculates the index as you shift the mix.
Simulate Upskilling →Handle high voltage sources and hang electrical cables.
physical manipulation — Connecting cables is hands-on installation
Drive loaded shuttle cars to ramps and move controls to discharge loads into mine cars or onto conveyors.
physical manipulation — Hands-on vehicle and equipment operation
Pry off loose material from roofs and move it into the paths of machines, using crowbars.
physical manipulation — Manual moving of materials and supplies
Move trailing electrical cables clear of obstructions, using rubber safety gloves.
physical manipulation — Positioning material handling equipment is physical
Control conveyors that run the entire length of shuttle cars to distribute loads as loading progresses.
physical manipulation — Physical control of conveyors and material movers
Observe hand signals, grade stakes, or other markings when operating machines.
physical manipulation — Physical hand signals to direct vehicle movement
Examine roadway and clear obstructions from the path of travel.
physical manipulation — Manual removal of debris from sites
Drive machines into piles of material blasted from working faces.
physical manipulation — Excavation equipment operated by hand in field
Operate levers to move conveyor booms or shovels so that mine contents such as coal, rock, and ore can be placed into cars or onto conveyors.
physical manipulation — Physical control of conveyors and material movers
Clean, fuel, service, and perform safety checks on all equipment, and repair and replace parts as necessary.
visual inspection — Condition assessment needs physical presence
Clean hoppers, and clean spillage from tracks, walks, driveways, and conveyor decking.
physical manipulation — Machinery cleaning requires hands-on work
Oil, lubricate, and adjust conveyors, crushers, and other equipment, using hand tools and lubricating equipment.
physical manipulation — Physical maintenance of material moving equipment
Monitor loading processes to ensure that materials are loaded according to specifications.
visual inspection — Loading oversight is physical, in-the-world supervision
Measure, weigh, or verify levels of rock, gravel, or other excavated material to prevent equipment overloads.
information retrieval — Spec verification against references, human confirms edge cases
Replace hydraulic hoses, headlight bulbs, and gathering-arm teeth.
physical manipulation — Physical maintenance of material moving equipment
Stop gathering arms when cars are full.
physical manipulation — Excavation equipment operated by hand in field
Move mine cars into position for loading and unloading, using pinchbars inserted under car wheels to position cars under loading spouts.
physical manipulation — Positioning material handling equipment is physical
Advance machines to gather material and convey it into cars.
physical manipulation — Physical control of conveyors and material movers
Signal workers to move loaded cars.
physical manipulation — Physical hand signals to direct vehicle movement
Guide and stop cars by switching, applying brakes, or placing scotches, or wooden wedges, between wheels and rails.
situated mobility — Locomotive operation requires real-world vehicle control
Observe and record car numbers, carriers, customers, tonnages, and grades and conditions of material.
data analysis — Record production data into structured logs
Read written instructions or confer with supervisors about schedules and materials to be moved.
information retrieval — Parse work orders into procedures reliably
Maintain records of materials moved.
data analysis — Record production data into structured logs
Direct other workers to move stakes, place blocks, position anchors or cables, or move materials.
physical manipulation — Material handling direction is on-floor supervision
Push or ride cars down slopes, or hook cars to cables and control cable drum brakes, to ease cars down inclines.
physical manipulation — Positioning material handling equipment is physical
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<script src="https://giniloh.com/embed.js" async></script> Community Sentiment
Do you agree with the AI automation risk score calculated for this occupation?
Method
Check: across the 910 occupations where O*NET also rates how far machine speed sets the pace, this index moves opposite to it (Spearman ρ = -0.49). The more a job is paced by equipment, the less of its task content AI can address — the relationship you would expect if the scoring is working.
Sources · O*NET 31.0 (task records to 08/2026) · BLS OEWS May 2025 · BLS projections 2025-2035 · rubric v2.1 · tasks for O*NET, not a forecast
See the full method →Related Article
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