Medium AI Risk Slow Growth

Continuous mining machine operators

SOC Code: 47-5041

Continuous mining machine operators carries a 32% AI exposure score (Medium automation risk), with a median annual wage of $63,380 and +0.6% projected employment growth from 2024 to 2034 (BLS), affecting approximately 14,900 workers. Full task breakdown, skills, and employer data are below.

AI Exposure Score
32% Medium
Typical exposure

Proportion of tasks susceptible to AI automation (O*NET analysis)

Projected Growth
+0.6%
Typical growth
2024–2034 (BLS)
+100 jobs
Median Annual Wage
$63,380
Typical pay
BLS May 2024
How wage figures are sourced →
The verdict

At 32% AI exposure, Continuous mining machine operators sits 5 points below the 37.2% average across 832 U.S. occupations - more exposed than 37% of them. Most of its core tasks still require human judgment.

32%
AI exposure
37th
percentile
+0.6%
Job growth 2024–34
$63,380
Median wage
C-

Career outlook score

51/100

Continuous mining machine operators, weighted across 3 of 3 tracked dimensions

A weighted composite of median wage, projected growth, and AI-automation security (inverted exposure), each benchmarked against every other tracked occupation. It describes this occupation's standing across those three dimensions, not a guarantee of future outcomes.

  • Median wage C $63,380

    Annual median wage, percentile rank vs all tracked occupations

  • Projected growth F +0.6%

    Projected employment change, 2024-2034, BLS Employment Projections

  • AI exposure (inverted) C+ 32% exposure

    Lower O*NET task-automability scores lower risk; this dimension scores security, not exposure

Employment vs AI exposure

Home health and personal care aides is #1 of 832 occupations by employment (4.3M, AI exposure rank #392 at 35%) vs. Bookkeeping, accounting, and auditing clerks #1 by AI task exposure (95%, employment rank #17 at 1.6M).

4.3M
Home health and personal care aides employment (#1)
#392
Home health and personal care aides AI rank
95%
Bookkeeping, accounting, and auditing clerks AI exposure (#1)
#17
Bookkeeping, accounting, and auditing clerks employment rank

Automation-risk inventory

Exclusive cut of 832 occupations by PlainWorkforce automation-risk band. Orthogonal to the continuous AI-exposure distribution chart below and to this occupation's single risk badge, this is the corpus band mix, with Continuous mining machine operators in the Medium band.

Credential × growth standing

Open entry with non-declining BLS pace

Continuous mining machine operators keeps an No credential bar (109 of 832) and sits in Slow growth (245 of 832). Lower formal gates with a non-shrinking employment line - skill and AI desks matter more than credentials here.

Where Continuous mining machine operators sits among all occupations

AI-exposure score distribution across 832 U.S. occupations (O*NET task analysis). This occupation is marked in rose.

Where Continuous mining machine operators sits by AI exposure

AI-exposure score distribution across U.S. occupations (O*NET task analysis)

32% Lower than most lower than 63% of 832 occupations

Occupations, banded by AI-exposure score

Each bar is a band; taller bars hold more occupations. The dashed line + filled bar mark this entry. Hover or tap any bar for its full count and share, and where it sits relative to this entry.

Source O*NET task data (U.S. Department of Labor) · BLS 2024–2034

Source: O*NET task data (U.S. Department of Labor); AI-exposure scores are PlainWorkforce's analysis. As of BLS 2024–2034.

Continuous mining machine operators vs. its occupational neighbors

AI exposure (horizontal) vs projected 2024–2034 growth (vertical) for occupations in the same SOC group. Continuous mining machine operators is marked in rose; the top-left corner is the most future-proof.

Future-proofGrowing but exposedStable, lower-AIMost at risk11.8%18.4%25%31.6%38.2%-1.3%1.5%4.3%7.2%10.0%AI exposure (%) →Projected growth (%) →Continuous mining ma, AI exposure (%) →: 32% · Projected growth (%) →: 0.6%Continuous mining maConstruction laborer, AI exposure (%) →: 15% · Projected growth (%) →: 7.3%Construction laborerCarpenters, AI exposure (%) →: 28% · Projected growth (%) →: 4.5%CarpentersFirst-line superviso, AI exposure (%) →: 32% · Projected growth (%) →: 5.3%First-line supervisoElectricians, AI exposure (%) →: 13% · Projected growth (%) →: 9.5%ElectriciansPlumbers, AI exposure (%) →: 27% · Projected growth (%) →: 4.5%PlumbersOperating engineers, AI exposure (%) →: 25% · Projected growth (%) →: 3.6%Operating engineersPainters, AI exposure (%) →: 27% · Projected growth (%) →: 3.8%PaintersCement masons, AI exposure (%) →: 15% · Projected growth (%) →: 1.8%Cement masonsRoofers, AI exposure (%) →: 17% · Projected growth (%) →: 5.9%RoofersHighway maintenance , AI exposure (%) →: 21% · Projected growth (%) →: 3%Highway maintenance Construction, AI exposure (%) →: 37% · Projected growth (%) →: -0.8%Construction

Source: BLS Employment Projections 2024–2034 (growth) and O*NET (AI-exposure analysis by PlainWorkforce).

Employment Projections

14,900
Employment 2024
15,000
Projected 2034
+0.6%
Change (%)
+100
Change (jobs)

Where This Score Comes From

Continuous mining machine operators's Medium automation-risk tier is computed from O*NET Database 30.0 task-level analysis, where each documented task the occupation performs is evaluated against current generative AI, robotic process automation, and machine-learning capabilities. A score below 40% reflects tasks anchored in physical dexterity, unstructured environments, or high-touch human interaction that current AI cannot reliably replicate.

The employment, wage, and education figures above come from a second, separate federal source: BLS Employment Projections 2024–2034, matched to the O*NET task data by Standard Occupational Classification (SOC 47-5041) code, with the wage figure cross-validated against the BLS Occupational Employment and Wage Statistics (OEWS) May 2024 survey. BLS figures are presented exactly as published, with no adjustment on our part; the SOC-code match is what lets Continuous mining machine operators be compared directly against every other tracked occupation on the same basis, not just roles that happen to share a job title.

For career planners, this profile should be read alongside the task, skill, and knowledge breakdowns below and the list of employers whose workforce composition includes Continuous mining machine operators. Adjacent occupations shown further down offer lateral moves that preserve industry knowledge while potentially reducing exposure.

Education & Entry Requirements

Typical Education
No formal educational credential
Work Experience
None
On-the-Job Training
Moderate-term on-the-job training

Top Tasks (O*NET)

  1. 1. Hang ventilation tubing and ventilation curtains to ensure that the mining face area is kept properly ventilated.
  2. 2. Conduct methane gas checks to ensure breathing quality of air.
  3. 3. Check the stability of roof and rib support systems before mining face areas.
  4. 4. Operate mining machines to gather coal and convey it to floors or shuttle cars.
  5. 5. Drive machines into position at working faces.
  6. 6. Move controls to start and regulate movement of conveyors and to start and position drill cutters or torches.
  7. 7. Reposition machines to make additional holes or cuts.
  8. 8. Determine locations, boundaries, and depths of holes or channels to be cut.
  9. 9. Install casings to prevent cave-ins.
  10. 10. Observe and listen to equipment operation to detect binding or stoppage of tools or other equipment malfunctions.

Key Skills Required

  • Operations Monitoring
  • Operation and Control
  • Equipment Maintenance
  • Critical Thinking
  • Troubleshooting
  • Repairing
  • Judgment and Decision Making
  • Active Listening
  • Speaking
  • Monitoring

Knowledge Areas

  • Mechanical
  • Production and Processing
  • Law and Government
  • Education and Training
  • English Language
  • Administration and Management
  • Transportation
  • Public Safety and Security
  • Design
  • Engineering and Technology

Frequently Asked Questions

Will AI replace Continuous mining machine operators?

Continuous mining machine operators has an AI exposure score of 32%, indicating a medium level of automation risk. The majority of tasks in this role require human judgment, creativity, or physical presence that AI cannot easily replicate.

What is the job outlook for Continuous mining machine operators?

According to BLS Employment Projections 2024-2034, Continuous mining machine operators is projected to grow by 0.6% over the decade. Current employment stands at approximately 14,900 workers.

What skills are needed for Continuous mining machine operators?

Key skills for Continuous mining machine operators include Operations Monitoring, Operation and Control, Equipment Maintenance, and others. Typical entry-level education is No formal educational credential.

How much do Continuous mining machine operators earn?

The median annual wage for Continuous mining machine operators is $63,380, according to BLS Occupational Employment and Wage Statistics (May 2024). Actual earnings vary by location, experience, industry, and employer. The BLS publishes detailed wage percentiles by region in its Occupational Employment and Wage Statistics program.

What education is required for Continuous mining machine operators?

The typical entry-level education for Continuous mining machine operators is No formal educational credential. Employers generally expect None of related work experience. On-the-job training typically involves Moderate-term on-the-job training. Requirements can vary by employer and specialization.

Which companies employ Continuous mining machine operators?

Continuous mining machine operators roles exist across many industries and employers. Workforce composition is estimated from BLS industry-occupation employment distributions matched to SEC-registered public companies.

AI Exposure Rating

1.6
out of 5.0

Medium automation risk based on 10 analyzed tasks. Most tasks require human judgment and are resistant to automation.

Nationwide occupations with similar workforce profiles

Two data-derived peer sets for Continuous mining machine operators: AI-exposure neighbors and BLS 2034 growth neighbors (distinct comparison neighborhoods, cross-occupation).

Similar AI exposure score

Nearest O*NET task-automability scores nationwide (32% here).

Similar projected growth (2024–2034)

Nearest BLS employment change rates nationwide (+0.6% here).

Peers are nearest-neighbor matches on published BLS + O*NET metrics among occupations with ≥10,000 workers in 2024; corpus ranks above sort the full tracked set.

What to do with this

Use Continuous mining machine operators' numbers above to compare, not just read in isolation.

AI exposure scores estimate task automatability from O*NET data; they are not a certainty of job loss, and BLS growth projections are estimates, not guarantees.

Data sources: Bureau of Labor Statistics Employment Projections 2024–2034 and O*NET Database 30.0. Employment figures are rounded. Wage data from BLS Occupational Employment Statistics (OES).

Every figure on PlainWorkforce is rendered directly from BLS/O*NET source data, no number is typed in by an editor. See our editorial standards & corrections policy, the methodology behind these figures, or report a data error. Data current as of BLS Employment Projections 2024-2034.

Sources: BLS Employment Projections 2024-2034, O*NET Database 30.0.