← Risk register SOC 47-5041 · reviewed 2026-08-11

Continuous Mining Machine Operators

14,000 US workers · median $61,810/yr · Construction

EXPOSED

Cutting coal at the face, moving the machine on unstable floor, watching roof and rib conditions, and reacting to gas or water inflow is physical work in one of the least controlled environments there is — language AI does none of it. The real pressure is different: continuous miners are already run by remote control from a distance, and automated cutting sequences plus longwall automation steadily reduce the number of operators per section, while coal demand shrinks the employment base regardless of technology. MSHA training and state miner certification create a real barrier to entry but not a professional sign-off shield.

10-year outlook: The work stays physical and human-supervised, but expect fewer operators per section as remote and semi-automated mining spreads, on top of continued coal-driven shrinkage in total jobs.

US employment, 2019–2025-4.3%
14,63014,000 workers

Roughly flat across the period, with year-to-year wobble.

Median pay $55,280 → $61,810 -10.5% in real terms (nominal +11.8%, less ~25% US inflation over the period)

The job count is not the verdict

This line is counted by the Bureau of Labor Statistics — the one figure on this page that isn't a judgement of ours. Headcount moves on demand, offshoring, demographics and the business cycle, and automation is one term among several, often not the loudest.

So a falling line is not evidence that AI did it, and a rising one is not evidence that it won't. Both happen in this register: some occupations resist automation and shrink anyway, others are highly automatable and keep growing. The marked year is 2020.

BLS projection, 2024–2034

+0.6% 14,900 → 15,000 on the projections basis

Growing, and only partly exposed

The BLS expects +0.6% more of these jobs by 2034, and at 51/100 the work is only partly exposed — some tasks are automatable, the core of the job is not. Nothing here is in tension.

Different clocks. The score is what current AI could do to this work today. The projection is how many of these jobs will exist in 2034. Everything between the two — how fast employers actually adopt, whether demand grows in the meantime — is why they can point opposite ways without either being wrong.

~1,600 openings a year on average, including replacing people who leave.

One email if this score changes. Watch as many occupations as you like from the same address — no account, and nothing is sent on a schedule, only when a verdict actually moves.

Also known as — 24 job titles this covers

Titles reported by people doing this work, from the US Department of Labor's O*NET survey. If your job title is here, this page is about your work even though the name doesn't match.

MinerDozer OperatorMiner OperatorLoader OperatorMine TechnicianShovel OperatorContinuous MinerCrusher OperatorForklift OperatorBulldozer OperatorEquipment OperatorExcavator OperatorBore Miner OperatorForklift Wheel LoaderMine Utility OperatorWheel Loader OperatorCrusher Plant OperatorCrusher Loader OperatorLogging Shovel OperatorHeavy Equipment OperatorShovel Log Loader OperatorMaterial Equipment OperatorQuarry Plant Crusher OperatorContinuous Miner Operator (CMO)

Score — 51/100 resistance

Holding it up: embodiment (18/20). Weakest point: trust premium (3/20).

Five dimensions, 0–20 each, summed. Higher means more protected. The arithmetic is shown so you can check it: 13 + 18 + 8 + 3 + 9 = 51. · Scored 2026-08-11, and re-examined when evidence accumulates rather than on a schedule.

Task resistance 13/20

Mixed — a routine tier and a judgment tier At 13 it sits at the top of the mixed band because the cutting-head sequencing, tramming, and bolting-cycle coordination are already programmable and remote-operated on newer sections, while reading a sloughing rib, spotting a taking-weight roof, or hand-shoveling a buried conveyor tail still needs a body at the face — the automatable share is large but the residual is stubborn.

Embodiment 18/20

Hands-on in uncontrolled environments An 18 reflects working under supported roof in a 40-inch to 6-foot seam, in coal dust and float dust, near energized 995-volt trailing cables and a shuttle car turning in a crosscut — the environment is unmapped every shift because the mine changes shape as you cut it.

Liability shield 8/20

Certification preferred, not legally required MSHA Part 48 training, the annual refresher, and state miner and equipment-operator certification mean you cannot legally be put on that machine untrained, which is why this is 8 rather than 2 — but the penalties for a roof-fall or a permissibility violation land on the operator's mine ID and the foreman's certification, not on your personal ticket, so there is no sign-off you own.

Trust premium 3/20

Anonymous artifact production A 3 acknowledges that the section crew's confidence in your tramming and your dust-suppression discipline is real, but no customer buys coal because of which operator cut it — the tonnage is anonymous once it hits the belt.

Judgment & accountability 9/20

Meaningful discretion At 9 you make live calls the plan does not cover — when to stop cutting because the methane monitor is climbing, when the roof is talking and the section needs to back out, whether to advance past the last row of bolts — but the mine plan, the roof-control plan, and the section foreman's directives bound most of what you decide.

Confidence: high · reviewed 2026-08-11 · how scoring works

What this job involves — and which parts are yours

The verdict above describes this occupation as a whole. Almost nobody does the typical version of a job — tick what's actually in your week and see how your own mix sits.

AI already does these at usable quality

These still need a person

Active moats on the surviving side: embodiment, physical-presence, unionization

How to future-proof this job

Training paths for your skill gaps: Coursera — engineering and procurement courses, auditable without paying free to audit · edX — supply chain and inventory management free to audit · Khan Academy — mathematics, arithmetic through calculus free · Purdue OWL — the standard reference for professional writing free

All 35 skills ranked by how many jobs they open →

Where this experience transfers — occupations you could move toward

Computed from U.S. Dept. of Labor O*NET skill and knowledge profiles: high overlap with what you already do, a materially higher resistance score, no large jump in required training, and no licence you would have to start a new pipeline to get. Targets that pay meaningfully less, that are themselves COOKED, or whose own headcount is falling are excluded — a move into a shrinking trade is not an escape.

Earth Drillers, Except Oil and Gas SAFE · 67/100 · you already have ~86% of the skill profile

Skills to close: Equipment Selection, Management of Material Resources

Crane and Tower Operators SAFE · 67/100 · you already have ~83% of the skill profile

Skills to close: Mathematics, Writing

Rail-Track Laying and Maintenance Equipment Operators EXPOSED · 63/100 · you already have ~83% of the skill profile

Skills to close: Management of Material Resources

What would move this back up — beyond any one person

The moves above are yours to make. This is the other half: what would have to change in the world for the occupation itself to score higher. None of it is in any one person's gift, but it is where the floor actually comes from. Scores here are not a one-way ratchet. Only two of the five dimensions — task resistance and embodiment — track what machines can do. The other three track law, what buyers will pay for, and who is answerable, and those move in both directions, often in response to the same pressure AI creates. If every lever below landed, this occupation would score around 64/100, still EXPOSED.

4 specific changes that would raise this score
  • already happening judgment accountability +4

    If pre-shift/on-shift examiner duties (30 CFR 75.360-362: roof and rib sounding, methane checks at the face, water and float coal dust judgment) are formally folded into the machine operator's certified role as crews shrink, the operator becomes the named person who stops production for adverse roof or gas conditions and is cited personally for failure to do so.

  • already happening task resistance +3

    Genuine two-tier job: if automated cutting sequences take over the repetitive shear-and-tram cycle, what remains is the non-routine tier — reading changing roof and rib behavior, judging when to set temporary support, handling water inflow, unplanned geology, machine recovery when the miner is buried or cable-damaged, and moving equipment through bad top. Watch for staffing plans that keep one certified operator per section rather than eliminating the position.

  • plausible liability shield +5

    An MSHA rule (or approval condition under 30 CFR Part 18/75 for permissible remote and autonomous equipment) requiring a certified miner physically stationed on the section to authorize each automated cutting pass, with the certified operator named on the roof control and ventilation plan compliance record — i.e., turning miner certification into a per-shift sign-off rather than an entry credential. State mine boards (WV, KY, PA) already issue and revoke certifications; extending revocable personal responsibility to automated cut authorization is the specific mechanism.

  • unlikely embodiment +1

    Already near ceiling; only a shift toward more recovery and support-setting work in unsupported ground would move it, and that is bounded by law.

The limit. No realistic trust premium route: coal is a commodity and no buyer pays extra for human-cut tons. The dominant risk here is not AI capability but the shrinking employment base — thermal coal demand decline and per-section crew reduction can eliminate the job even if every dimension above rises.

These are conditions, not forecasts — what would have to happen, not what will. Specific rules, cases and bills are named so you can go and check whether they exist and where they stand; verify before relying on any of them. Nothing here is legal or financial advice.

Where this work is, and what it pays there

BLS metro figures for 12 areas. The verdict above does not change by city — the rubric judges what the work involves, not where it happens — but pay and headcount do, and the national median hides a very wide range.

Most of these jobs

Tucson, AZ 720 $60,880 -2%
Phoenix-Mesa-Chandler, AZ 710 $63,250 +2%
Salt Lake City-Murray, UT 380 $57,900 -6%
Pittsburgh, PA 140 $60,780 -2%
Beckley, WV 120 $64,270 +4%
St. Louis, MO-IL 120 $48,120 -22%
Wheeling, WV-OH 120 $66,300 +7%
Kansas City, MO-KS 100 $47,950 -22%

Best paid

Duluth, MN-WI 50 $86,230 +40%
Wheeling, WV-OH 120 $66,300 +7%
Charleston, WV 70 $65,280 +6%

Percentages are against this occupation's national median of $61,810. Counts are jobs in that metro, not vacancies. Metros where the BLS suppressed the cell are absent rather than shown as zero.

Who is actually doing this — nobody, on the record

We have no reported case of a named organisation automating this occupation. Not one deployment, not one announcement.

That is worth saying out loud next to a score of 51. The verdict above is about what the work exposes — what current AI could do to these tasks. It is not a claim that anyone has done it. For this occupation those two things have come apart completely: the capability argument is on this page, and the evidence column is empty.

Read that as a gap in the reporting we can see, not proof of absence — the dispatch runs on English-language feeds and misses plenty. If you know of a case, tell us, or add a field report from inside the job.

Quick take — do you do this job?

Has AI actually changed your work? One tap, anonymous, and the running tally is public. Nothing else is asked of you.

Self-reported and unverified — a sentiment signal, not a survey. One response per person per occupation; you can change your answer.

Field reports — what people say has changed

No field reports yet. A written account takes a paragraph rather than a tap, goes to an editor before it appears, and is the one thing on this page the rubric cannot produce on its own.

File a field report

Concrete beats general: a tool that arrived, a task that moved, a headcount decision you watched happen. Don't include anything that identifies you or your employer if that would put you at risk.

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Kept current

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