46
/100

SOC 47-5049

Underground Mining Machine Operators, All Other

ElevatedFrey/Osborne: 59.0%

Risk Score

โš ๏ธ

46/100

Elevated

US Employment

๐Ÿ‘ฅ

3,480

Total workers

Median Wage

๐Ÿ’ฐ

$67K

$47K โ€“ $83K

Projected Growth

๐Ÿ“ˆ

-6.1%

2023-2033 (BLS)

GenAI Exposure

๐Ÿค–

35/100

Moderate exposure

How we calculate these numbers โ†’

๐Ÿ’ก Underground Mining Machine Operators, All Other face a risk score of 46/100 โ€” 2 points above the national average of 44. With only 35/100 GenAI exposure, most core tasks remain resistant to current AI capabilities. See our methodology โ†’

๐Ÿ’ก Workers in this field earn $67K ($21K 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 46/100, Underground Mining Machine Operators, All Other 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 3,480 workers in this occupation should focus on strengthening skills in navigating unpredictable and unstructured job sites and fine motor craftsmanship in custom installations to stay ahead. The role will likely evolve rather than disappear.

Will AI Replace Underground Mining Machine Operators, All Other?

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

3D printing of building components

3

BIM-integrated automated progress tracking

4

Autonomous heavy equipment operation

๐Ÿ›ก๏ธ Tasks Safe from Automation

โœ“

Navigating unpredictable and unstructured job sites

โœ“

Fine motor craftsmanship in custom installations

โœ“

Physical work in confined or elevated spaces

โœ“

Real-time safety judgment in hazardous conditions

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“Š vs National Average

Median Wage$67K
+$21K

National avg: $46K

Risk Score46/100
+2

National avg: 44/100

GenAI Exposure35/100
-3

National avg: 38/100

Projected Growth-6.1%
-9.8%

National avg: 3.7%

๐Ÿ”„ Career Transition Paths

OccupationRiskWageOverlap
Engineers20$106K57%
Supervisors of Construction and Extraction Workers33$79K71%
Extraction Workers29$56K84%