High AI Risk Declining

Loading and moving machine operators, underground mining

SOC Code: 47-5044

Loading and moving machine operators, underground mining carries a 43% AI exposure score (High automation risk), with a median annual wage of $68,860 and -22.3% projected employment growth from 2024 to 2034 (BLS), affecting approximately 6,400 workers. Full task breakdown, skills, and employer data are below.

AI Exposure Score
43% High

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

Projected Growth
-22.3%
2024–2034 (BLS)
-1,400 jobs
Median Annual Wage
$68,860
BLS May 2024
How wage figures are sourced →
The verdict

At 43% AI exposure, Loading and moving machine operators, underground mining sits 6 points above the 37.2% average across 832 U.S. occupations - more exposed than 76% of them. Most of its core tasks still require human judgment.

43%
AI exposure
Top 24%
most exposed
-22.3%
Job growth 2024–34
$68,860
Median wage

Where Loading and moving machine operators, underground mining sits among all occupations

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

AI exposure distribution - Loading and moving machine operators, underground mining marked 1 occupations at 0–10% 1 0 43 occupations at 10–20% 43 10 184 occupations at 20–30% 184 20 332 occupations at 30–40% 332 30 158 occupations at 40–50% 158 40 64 occupations at 50–60% 64 50 29 occupations at 60–70% 29 60 15 occupations at 70–80% 15 70 5 occupations at 80–90% 5 80 1 occupations at 90–100% 1 90 AI exposure (%) →
Top 24% by AI exposure Higher AI exposure than 76% of all 832 occupations.

Loading and moving machine operators, underground mining has ai exposure of 43%. Distribution: 1 occupations at 0-10%; 43 occupations at 10-20%; 184 occupations at 20-30%; 332 occupations at 30-40%; 158 occupations at 40-50%; 64 occupations at 50-60%; 29 occupations at 60-70%; 15 occupations at 70-80%; 5 occupations at 80-90%; 1 occupations at 90-100%.

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

Loading and moving machine operators, underground mining vs. its occupational neighbors

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

Future-proofGrowing but exposedStable, lower-AIMost at risk11.5%19.8%28%36.3%44.5%-23.9%-15.1%-6.4%2.3%11.1%AI exposure (%) →Projected growth (%) →LoadingConstruction laborerCarpentersFirst-line supervisoElectriciansPlumbersOperating engineersPaintersCement masonsRoofersHighway maintenance Construction

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

Employment Projections

6,400
Employment 2024
5,000
Projected 2034
-22.3%
Change (%)
-1,400
Change (jobs)

Occupation Insight

Loading and moving machine operators, underground mining (SOC 47-5044) carries an AI exposure score of 43%, placing it in the High automation-risk tier. This score is computed from O*NET Database 30.0 task-level analysis, where each task an occupation performs is evaluated against current generative AI, robotic process automation, and machine-learning capabilities. A score in the 40–70% range indicates meaningful automation pressure on specific task categories, but the role as a whole still requires human judgment for coordination, exception handling, or client interaction.

The economic context matters alongside the risk score. BLS counted approximately 6,400 workers in this occupation in 2024, and projects a -22.3% change through 2034 - a decline that often compounds with high AI exposure to create displacement headwinds. Median annual compensation stands at $68,860, reflecting both skill scarcity and the value employers place on the tasks that remain difficult to automate. Entry typically requires No formal educational credential, plus None of related experience.

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 Loading and moving machine operators, underground mining. Adjacent occupations shown further down offer lateral moves that preserve industry knowledge while potentially reducing exposure. Pair the AI exposure score with the BLS employment projection and wage percentiles above for a complete career assessment.

Education & Entry Requirements

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

Top Tasks (O*NET)

  1. 1. Handle high voltage sources and hang electrical cables.
  2. 2. Drive loaded shuttle cars to ramps and move controls to discharge loads into mine cars or onto conveyors.
  3. 3. Pry off loose material from roofs and move it into the paths of machines, using crowbars.
  4. 4. Move trailing electrical cables clear of obstructions, using rubber safety gloves.
  5. 5. Stop gathering arms when cars are full.
  6. 6. Control conveyors that run the entire length of shuttle cars to distribute loads as loading progresses.
  7. 7. Observe hand signals, grade stakes, or other markings when operating machines.
  8. 8. Examine roadway and clear obstructions from the path of travel.
  9. 9. Drive machines into piles of material blasted from working faces.
  10. 10. 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.

Key Skills Required

  • Operation and Control
  • Operations Monitoring
  • Troubleshooting
  • Active Listening
  • Speaking
  • Critical Thinking
  • Coordination
  • Equipment Maintenance
  • Reading Comprehension
  • Monitoring

Knowledge Areas

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

Frequently Asked Questions

Will AI replace Loading and moving machine operators, underground mining?

Loading and moving machine operators, underground mining has an AI exposure score of 43%, indicating a high level of automation risk. Some tasks in this role can be augmented or partially automated by AI, but core responsibilities require human judgment.

What is the job outlook for Loading and moving machine operators, underground mining?

According to BLS Employment Projections 2024-2034, Loading and moving machine operators, underground mining is projected to decline by 22.3% over the decade. Current employment stands at approximately 6,400 workers.

What skills are needed for Loading and moving machine operators, underground mining?

Key skills for Loading and moving machine operators, underground mining include Operation and Control, Operations Monitoring, Troubleshooting, and others. Typical entry-level education is No formal educational credential.

How much do Loading and moving machine operators, underground mining earn?

The median annual wage for Loading and moving machine operators, underground mining is $68,860, 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 Loading and moving machine operators, underground mining?

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

Which companies employ Loading and moving machine operators, underground mining?

Loading and moving machine operators, underground mining 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

2.1
out of 5.0

High automation risk based on 10 analyzed tasks. A moderate share of tasks may be augmented by AI tools.

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).

Data sourced from official public datasets. See our methodology for details. Retrieved and formatted by PlainWorkforce Editorial

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.