43
/100

SOC 47-5041

Continuous Mining Machine Operators

ElevatedFrey/Osborne: 54.0%

Risk Score

โš ๏ธ

43/100

Elevated

US Employment

๐Ÿ‘ฅ

14,340

Total workers

Median Wage

๐Ÿ’ฐ

$63K

$41K โ€“ $84K

Projected Growth

๐Ÿ“ˆ

+0.6%

2023-2033 (BLS)

GenAI Exposure

๐Ÿค–

10/100

Low exposure

How we calculate these numbers โ†’

๐Ÿ’ก Continuous Mining Machine Operators face a risk score of 43/100 โ€” 1 points below the national average of 44. With only 10/100 GenAI exposure, most core tasks remain resistant to current AI capabilities. See our methodology โ†’

๐Ÿ’ก Workers in this field earn $63K ($17K above the national median). The 3 recommended career transitions all maintain competitive wages while reducing automation exposure. Explore transition paths โ†’

๐Ÿ” AI Impact Analysis

With a risk score of 43/100, Continuous Mining Machine Operators faces moderate automation pressure. While tasks like ai project scheduling and resource optimization are increasingly handled by AI, the role retains significant human elements. The 14,340 workers in this occupation should focus on strengthening skills in fine motor craftsmanship in custom installations and real-time safety judgment in hazardous conditions to stay ahead. The role will likely evolve rather than disappear.

Will AI Replace Continuous Mining Machine Operators?

Read our full analysis with verdict, risk factors, safe tasks, and career transition paths โ†’

โš ๏ธ Top Risk Factors

1

AI project scheduling and resource optimization

2

Autonomous heavy equipment operation

3

3D printing of building components

4

Drone-based site surveying and inspection

๐Ÿ›ก๏ธ Tasks Safe from Automation

โœ“

Fine motor craftsmanship in custom installations

โœ“

Real-time safety judgment in hazardous conditions

โœ“

Adapting to unique building configurations on-site

โœ“

Navigating unpredictable and unstructured job sites

๐Ÿ“Š Task Automation Breakdown

Based on O*NET task analysis and GenAI exposure scoring. Shows the estimated proportion of this occupation's core tasks that are automatable by current AI, augmented by AI tools, or require essential human skills.

๐Ÿ“‹ O*NET Task Profile

โ€ข

Hang ventilation tubing and ventilation curtains to ensure that the mining face area is kept properly ventilated.

โ€ข

Conduct methane gas checks to ensure breathing quality of air.

โ€ข

Check the stability of roof and rib support systems before mining face areas.

โ€ข

Operate mining machines to gather coal and convey it to floors or shuttle cars.

โ€ข

Drive machines into position at working faces.

๐Ÿ’ป Technology Skills

โ€ข

Mobile location based services software

โ€ข

Spreadsheet software

โ€ข

Office suite software

โ€ข

Presentation software

โ€ข

Word processing software

๐ŸŽ“ Key Knowledge Areas

โ€ข

Mechanical

โ€ข

Production and Processing

โ€ข

Law and Government

โ€ข

Education and Training

โ€ข

English Language

๐Ÿ“Š vs National Average

Median Wage$63K
+$17K

National avg: $46K

Risk Score43/100
-1

National avg: 44/100

GenAI Exposure10/100
-28

National avg: 38/100

Projected Growth0.6%
-3.1%

National avg: 3.7%

๐Ÿ”„ Career Transition Paths

OccupationRiskWageOverlap
Engineers20$106K51%
Supervisors of Construction and Extraction Workers33$79K80%
Extraction Workers29$56K78%