Last Update: 11/21/2025
Your role’s AI Resilience Score is
Median Score
Changing Fast
Evolving
Stable
What does this resilience result mean?
These roles are shifting as AI becomes part of everyday workflows. Expect new responsibilities and new opportunities.
AI Resilience Report for
They operate machines to load and move materials like coal or ore in underground mines, ensuring everything is safely transported to the surface.
Summary
The career of Loading and Moving Machine Operators in Underground Mining is labeled as "Evolving" because AI and automation are starting to change how some tasks are done. Machines are taking over the heavy and dangerous work, making mining safer and more efficient.
Read full analysisLearn more about how you can thrive in this position
Learn more about how you can thrive in this position
Summary
The career of Loading and Moving Machine Operators in Underground Mining is labeled as "Evolving" because AI and automation are starting to change how some tasks are done. Machines are taking over the heavy and dangerous work, making mining safer and more efficient.
Read full analysisContributing Sources
AI Resilience
All scores are converted into percentiles showing where this career ranks among U.S. careers. For models that measure impact or risk, we flip the percentile (subtract it from 100) to derive resilience.
CareerVillage.org's AI Resilience Analysis
AI Task Resilience
Microsoft's Working with AI
AI Applicability
Will Robots Take My Job
Automation Resilience
Low Demand
We use BLS employment projections to complement the AI-focused assessments from other sources.
Learn about this scoreGrowth Rate (2024-34):
Growth Percentile:
Annual Openings:
Annual Openings Pct:
Analysis of Current AI Resilience
Underground Mining Ops
Updated Quarterly • Last Update: 11/22/2025

State of Automation & Augmentation
In many modern mines, heavy loading and hauling machines are already getting smarter. For example, systems like Sandvik’s AutoMine let loaders run on pre-set routes or from a remote control room. In one Chilean mine, operators work 24 km away in an office while the loader runs by itself underground [1].
Likewise, an underground mine in Zimbabwe now has five automated haul trucks and even plans to automate a matching loader next [2]. These are early examples of “autonomous” or tele-operated vehicles: computers and sensors do the driving so humans aren’t put in danger.
By contrast, the more fiddly tasks still need people. Jobs like moving trailing cables, changing hoses or light bulbs, and prying loose rock are done by hand because robots can’t easily do those small, irregular jobs. In practice, experts find that mining work will change rather than vanish – machines do the heavy, repetitive parts and humans handle the rest.
One industry analyst notes “it’s not necessarily fewer jobs… it will just be different jobs” in a more digital mine [3]. In short, driving and loading are starting to use automation, but maintenance and cleanup tasks remain human work.

AI Adoption
Mining companies have good reasons to try AI and automation. Safety is a big one – AI-driven machines can work 24/7 in dark, dangerous tunnels without risking lives. Researchers point out that “autonomous vehicles… enable continuous operation in hazardous environments” and cut accidents [4].
There is also a demand side: many mines struggle to find workers for hard underground jobs, so smart machines can help meeting production without endless hiring. On the plus side, some of these solutions are commercially available now from big equipment makers, so mines can buy proven systems.
However, automation is expensive and complex, so adoption is cautious. A full automation system can cost tens of millions of dollars; for instance, one underground mine spent about $27 million on remote loaders and trucks for a few years of operation [1]. Smaller mines or lower pay areas may delay buying such tech.
Underground environments are also tricky (dusty, confined, low wireless coverage), so robots must be very reliable. Finally, a U.S. job forecast shows material moving operators growing only ~1% over the next decade [5], suggesting few jobs overall – in other words, automation only replaces tasks that would otherwise have been stagnant.
In all, AI is gradually being added to mining machinery, but it isn’t taking over everything. Human skill in fixing problems, making judgments and doing hands-on work remains essential [3] [4]. The hope is that workers and machines will team up: machines handle the heavy or dangerous hauling, while people use their intelligence and care to watch over the process and handle what machines cannot.
This way, mining can become safer and more efficient without leaving people behind.

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Median Wage
$68,860
Jobs (2024)
6,400
Growth (2024-34)
-22.3%
Annual Openings
500
Education
No formal educational credential
Experience
None
Source: Bureau of Labor Statistics, Employment Projections 2024-2034
AI-generated estimates of task resilience over the next 3 years
Pry off loose material from roofs and move it into the paths of machines, using crowbars.
Move trailing electrical cables clear of obstructions, using rubber safety gloves.
Replace hydraulic hoses, headlight bulbs, and gathering-arm teeth.
Push or ride cars down slopes, or hook cars to cables and control cable drum brakes, to ease cars down inclines.
Clean, fuel, and service equipment, and repair and replace parts as necessary.
Oil, lubricate, and adjust conveyors, crushers, and other equipment, using hand tools and lubricating equipment.
Move mine cars into position for loading and unloading, using pinchbars inserted under car wheels to position cars under loading spouts.
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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