Last Update: 3/13/2026
Your role’s AI Resilience Score is
Median Score
Changing Fast
Evolving
Stable
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.
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 that dig out coal, ore, or rock from underground mines to help collect important materials and keep mining safe and efficient.
This role is evolving
This career is labeled as "Evolving" because AI and new technologies are being gradually introduced to help make mining safer and more efficient. While some tasks, like basic machine control and monitoring, can be automated with smart tools and sensors, human skills are still crucial for making important decisions and carrying out repairs.
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 evolving
This career is labeled as "Evolving" because AI and new technologies are being gradually introduced to help make mining safer and more efficient. While some tasks, like basic machine control and monitoring, can be automated with smart tools and sensors, human skills are still crucial for making important decisions and carrying out repairs.
Read full analysisContributing Sources
We aggregate scores from multiple models and supplement with employment projections for a more accurate picture of this occupation’s resilience. Expand to view all sources.
AI Resilience
AI Resilience Model v1.0
AI Task Resilience
CareerVillage's proprietary model that estimates how resilient each occupation's tasks are to AI automation and augmentation
Microsoft's Working with AI
AI Applicability
Measures how applicable AI tools (like Bing Copilot) are to each occupation based on real usage patterns
Will Robots Take My Job
Automation Resilience
Estimates the probability of automation for each occupation based on research from Oxford University and other academic sources
Althoff & Reichardt
Economic Growth
Measured as "Wage bill" which is a long term projection for average wage × employment. It's the total labor income flowing to an occupation
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
Continuous Mining Machine Ops
Updated Quarterly • Last Update: 2/17/2026

What's changing and what's not
Mining companies are beginning to use smart and remote-control tools to help continuous miner operators. For example, Komatsu has built a “Longwall Command & Control” system that lets workers run big coal-cutting machines from the surface, keeping people out of danger underground [1]. In one recent case, a new continuous miner machine in India is operated by a console instead of requiring a person right at the face [2].
Sensors and simple AI are also being added. Mines use Internet-connected sensors on conveyors and machines to watch for problems (like overheating or stuck belts) and shut things down safely [3] [4]. In fact, a 2025 study found that an AI-based monitoring system cut maintenance costs by 8% and raised machine uptime by 10% [4].
Even with new tech, humans are still essential. Tasks like picking where exactly to cut, or fixing and oiling parts, still need skilled workers. The experts who run these systems use special software now – O*NET notes operators already use fleet-monitoring and mapping tools on computers [5].
But things like physically “turning the wrench” remain hands-on. In short, some routine actions (moving conveyors, basic control) can be automated or done remotely, and smart sensors can “listen” for failures. However, planning the cuts and doing repairs still rely on human judgment and skill.

AI in the real world
Whether mines rapidly embrace AI depends on costs, benefits, and people’s choices. Big reasons to use AI include safety and efficiency. Moving operators above ground is a major benefit – as one mining engineer said, keeping people out of the tunnels “marks a watershed moment in mining safety” [1].
AI monitoring also saves money by preventing breakdowns [4], which makes it attractive if companies need to boost production. On the other hand, new systems are expensive and complex. Building a remote-control center or fitting sensors to old equipment takes a lot of money and training.
In practice, large mining firms with deep pockets (and urgent safety needs) tend to adopt these first, while smaller mines may wait. Trades and communities also watch carefully – many workers worry about jobs, so deployment is gradual.
In short, current automation in this job mostly aids operators (like safety cameras and predictive sensors) rather than replacing them entirely. For now, human skills like problem-solving and machine maintenance remain crucial. Over time, we’ll likely see more computer tools in underground mines, but experts expect people and machines to work together.

Help us improve this report.
Tell us if this analysis feels accurate or we missed something.
Share your feedback
Navigate your career with COACH, your free AI Career Coach. Research-backed, designed with career experts.
Median Wage
$63,380
Jobs (2024)
14,900
Growth (2024-34)
+0.6%
Annual Openings
1,600
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
Guide and assist crews laying track and resetting supports and blocking.
Install casings to prevent cave-ins.
Repair, oil, and adjust machines, and change cutting teeth, using wrenches.
Move levers to raise and lower hydraulic safety bars supporting roofs above machines until other workers complete framing.
Observe and listen to equipment operation to detect binding or stoppage of tools or other equipment malfunctions.
Determine locations, boundaries, and depths of holes or channels to be cut.
Drive machines into position at working faces.
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.

© 2026 CareerVillage.org. All rights reserved.
The AI Resilience Report is a project from CareerVillage.org®, a registered 501(c)(3) nonprofit.
Built with ❤️ by Sandbox Web
The AI Resilience Report is governed by CareerVillage.org’s Privacy Policy and Terms of Service. This site is not affiliated with Anthropic, Microsoft, or any other data provider and doesn't necessarily represent their viewpoints. This site is being actively updated, and may sometimes contain errors or require improvement in wording or data. To report an error or request a change, please contact air@careervillage.org.