π‘ Roof Bolters, Mining have a composite risk score of 63/100 (Frey-Osborne probability: 59%, GenAI exposure: 10/100). With 2,230 workers in the US, this is one of the most AI-vulnerable occupations. Full occupation profile β
π― The Verdict
Likely for many tasks. The role will look very different in 5β10 years.
With 2,230 workers and a median wage of $77K,roof bolters, mining represent a significant portion of the US workforce. Their GenAI exposure index is 10%, meaning a minority of their core tasks overlap with current generative AI capabilities.
Risk Score
63/100
Employment
2,230
Median Wage
$77K
GenAI Exposure
10%
β οΈ Top Risk Factors
BIM-integrated automated progress tracking
Autonomous heavy equipment operation
AI project scheduling and resource optimization
Drone-based site surveying and inspection
π‘οΈ Tasks AI Can't Easily Replace
Adapting to unique building configurations on-site
Navigating unpredictable and unstructured job sites
Fine motor craftsmanship in custom installations
π Career Transition Paths
Related occupations with lower AI risk and high skills overlap:
Engineers
51% skills overlap Β· $106K median wage
Supervisors of Construction and Extraction Workers
75% skills overlap Β· $79K median wage
Electrical Power-Line Installers and Repairers
55% skills overlap Β· $93K median wage
β Frequently Asked Questions
Will AI completely replace roof bolters, mining?
Likely for many tasks. The role will look very different in 5β10 years.
What is the AI risk score for roof bolters, mining?
Roof Bolters, Mining have a composite AI automation risk score of 63 out of 100, classified as "High Risk".
How many roof bolters, mining are there in the US?
There are approximately 2,230 roof bolters, mining employed in the United States.
What do roof bolters, mining earn?
The median annual wage for roof bolters, mining is $77K.
What skills should roof bolters, mining develop?
Focus on tasks AI can't easily replicate: adapting to unique building configurations on-site, navigating unpredictable and unstructured job sites, fine motor craftsmanship in custom installations. These human-centric skills will become more valuable as routine tasks are automated.