Will AI replace continuous mining machine operators?

Unlikely, though parts of the work are changing. About 1h 44m of an 8-hour shift goes to tasks touched by robots. The other 6h 16m (78%) stays with people. Separately, BLS expects about 3.2% more of these jobs by 2035 (all jobs: +3.5%).

None of this job's tasks show regular AI use yet. That can mean the work is hands-on or in person, or simply that it rarely comes up in AI usage data.

For some tasks, yes. Robots have done 5 of this job's tasks in workplaces like this one, about 1h 44m of a typical shift. 5 more tasks have only been done in factory setups built around the machine, so they stay with people here. For 3 physical tasks, no robot has shown it can do the work yet.

• Move controls to start and regulate movement of conveyors and to start and position drill cutters or torches. (35m a shift; e.g. Komatsu (Joy) Continuous Miner Automation (CMA) Level 2 - Sequenced Table-based Automation, Faceboss control system, in use)
• Reposition machines to make additional holes or cuts. (35m a shift; e.g. Komatsu Autocut / room-and-pillar automation on Joy 12CM30 continuous miner and Flexible Conveyor Train, in use)
• Conduct methane gas checks to ensure breathing quality of air. (17m a shift; e.g. ExR-2 (Emissions Detector configuration), in use)
• Move levers to raise and lower hydraulic safety bars supporting roofs above machines until other workers complete framing. (12m a shift; e.g. Shearer position initiated roof support advance (electrohydraulic powered roof support control), in use)

6h 16m of a typical shift, or 78%, goes to tasks with no AI or robot evidence yet. No AI usage or robot deployment has shown up for these so far. The biggest:

• Operate mining machines to gather coal and convey it to floors or shuttle cars. (2h 53m a shift)
• Repair, oil, and adjust machines, and change cutting teeth, using wrenches. (40m a shift)
• Hang ventilation tubing and ventilation curtains to ensure that the mining face area is kept properly ventilated. (35m a shift)
• Drive machines into position at working faces. (29m a shift)
• Check the stability of roof and rib support systems before mining face areas. (23m a shift)

Much of it comes down to where and how the work happens. In-person, hands-on and high-stakes work is where AI and robots have made the least headway so far. In the official O*NET survey of people in this job:

• 100% use their hands on tools, objects or controls more than half the time
• 97% carry high or very high responsibility for other workers' safety
• 78% say a mistake would be very or extremely serious

On Indeed, job postings in the Construction sector are at 129% of their February 2020 level (all U.S. postings: 104%), up 6.4% from a year earlier, as of Oct 9, 2026. BLS separately expects about 1,400 openings a year in this job through 2035. Across all U.S. postings, 7.3% now mention AI skills. Sector postings cover more than this one job and move for many reasons besides AI.

The median pay is about $61,810 a year ($29.72 an hour), 21% above the median for all U.S. jobs ($50,980). Most people in this job earn between $46,770 and $86,210 a year; that range covers the middle 80%. Pay figures are from BLS, May 2025, and vary a lot by state and employer. Pick a state to compare:

BLS projects growth of 3.2% from 2025 to 2035, compared with 3.5% growth for all jobs. That's about 14,000 jobs in 2035. It expects about 1,400 openings a year, mostly from people retiring or changing careers. These projections don't single out AI as a cause.

About 14,000 people in the U.S., roughly 0.01% of all workers (BLS, May 2025). That makes it the 607th largest of the 796 jobs on this site. BLS expects about 14,000 in 2035.

The most common requirement is a high school diploma: about 81% of people in the job said so in the official O*NET survey. O*NET rates the job at level 2 of 5 for preparation, which usually means: high school diploma, some training. Requirements vary by state and employer, especially for licensed work.

These come from the job's official skill ratings and from the tasks that AI and robots touch least today. Building them keeps you strong in the parts of the work that still need a person:

• Skills that matter more here than in most jobs: Equipment Maintenance, Operation and Control, Operations Monitoring, Repairing
• Get strong at the parts of the job that stay with people (listed above), which take 6h 16m of a typical shift
• Tools employers list: Microsoft Excel, Microsoft Office software, Microsoft PowerPoint, Microsoft Word

These use similar skills, with less of a typical shift touched by AI or robots. Matches come from 109 official ratings of skills, knowledge and work activities, and each needs the same or less preparation unless the official list relates the jobs directly:

• Mining Roof Bolters (50m touched, $79k median pay)
• Pile Driver Operators (0m touched, $73k median pay)

Each task carries its own evidence label. For this job: 5 with robots in real deployments, 10 with no AI or robot evidence found. The minutes per task are estimates, not measured hours, and "no evidence" doesn't prove a task is safe.