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The AI Resilience Report helps you understand how AI is likely to impact your current or future career. Drawing on data from over 1,500 occupations, it provides a clear snapshot to support informed career decisions.
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Last Update: 4/23/2026
Your role’s AI Resilience Score is
Median Score
Meaningful human contribution
Measures the parts of the occupation that still require a human touch. This score averages data from up to four AI exposure datasets, focusing on the role’s resilience against automation.
Med
Long-term employer demand
Predicts the health of the job market for this role through 2034. Using Bureau of Labor Statistics data, it balances projected annual job openings (60%) with overall employment growth (40%).
Low
Sustained economic opportunity
Measures future earning potential and career flexibility. This score is a blend of total projected labor income (67%) and the role’s inherent ability to adapt to economic and technological shifts (33%).
Med
This reflects the reliability of your score based on the number of data sources available for this career and how closely those sources agree on the outlook. A higher confidence means more consistent evidence from labor experts and AI models.
Limited data sources are available, or existing sources show notable disagreement on the outlook for this occupation.
Contributing sources
Roof Bolters, Mining are somewhat less resilient to AI impacts than most occupations, according to our analysis of 5 sources.
The career of roof bolting in mining is considered "Somewhat Resilient" because while technology is evolving to automate some tasks, human skills remain crucial. Although robotic bolters are being tested, fully autonomous systems are not yet practical due to the high costs and complexity involved.
Read full analysisLearn more about how you can thrive in this position
Learn more about how you can thrive in this position
This role is somewhat resilient
The career of roof bolting in mining is considered "Somewhat Resilient" because while technology is evolving to automate some tasks, human skills remain crucial. Although robotic bolters are being tested, fully autonomous systems are not yet practical due to the high costs and complexity involved.
Read full analysisAnalysis of Current AI Resilience
Roof Bolters, Mining
Updated Quarterly • Last Update: 2/17/2026

Right now, mining companies still do roof bolting mostly by hand or simple machines. In other words, most core tasks (drilling holes, inserting bolts and tightening them) are done by miners using bolting rigs [1]. Researchers say this is “time-consuming and labor-intensive,” and humans often must move to a safe spot to operate the equipment [1].
Some engineers are testing robots to help. For example, a 2021 industry report described a robotic arm added to a bolting machine that could drill and place bolts automatically [2]. In fact, experts note that fully autonomous bolting is a “hot topic” being researched [2].
But no mine today uses a fully self-driving roof bolter. Most tests still need a person to watch or control things, and many say these mining jobs are “too complicated or expensive to automate” completely for now [3] [2]. In short, automation is (so far) mostly experimental: machines already do heavy work, but human skill is still key.

Several factors affect how fast AI might climb into this job. On one hand, safety is a big issue: mining accidents are dangerous, so a robot that can keep people away from falling rock could save lives (and let work go on even if it’s unsafe for a person) [1]. On the other hand, new technology is very costly.
A government report shows a roof bolter earns about $32.05/hour (around $66,660/year) on average [4]. Companies will compare that to the cost of buying, operating, and maintaining a special robotic bolter. Because those machines would be expensive, they will only be worth it if they clearly boost productivity or safety.
Other issues slow adoption, too. Underground mines are dusty, wet, and variable, so any AI system must be very reliable. Workers and unions may also insist on people in the loop for safety.
Experts point out that many mining tasks remain tricky: for now even mines that use automation still have humans working alongside the machines [3] [1]. In practice, any AI or robot would act more like a partner than a replacement. For example, prototypes let miners supervise a robot from a safe distance on a screen [2].
This means miners’ skills – like spotting weak spots in rock, using tools correctly, and solving problems on the fly – stay very important. So, while advances in AI and robotics could partly change how roof bolting is done, people will continue to play a key role.

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They make mines safer by installing metal bolts into the roof to keep it from collapsing.
Median Wage
$76,640
Jobs (2024)
2,300
Growth (2024-34)
-34.2%
Annual Openings
100
Education
High school diploma or equivalent
Experience
None
Source: Bureau of Labor Statistics, Employment Projections 2024-2034
AI-generated estimates of task resilience over the next 3 years
Position bolting machines, and insert drill bits into chucks.
Tighten ends of anchored truss bolts, using turnbuckles.
Position safety jacks to support underground mine roofs until bolts can be installed.
Install truss bolts traversing entire ceiling spans.
Remove drill bits from chucks after drilling holes and insert bolts into chucks.
Force bolts into holes, using hydraulic mechanisms of self-propelled bolting machines.
Rotate chucks to turn bolts and open expansion heads against rock formations.
Tasks are ranked by their AI resilience, with the most resilient tasks shown first. Core tasks are essential functions of this occupation, while supplemental tasks provide additional context.

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