Evolving

Last Update: 3/13/2026

Your role’s AI Resilience Score is

57.7%

Median Score

Changing Fast

Evolving

Stable

Our confidence in this score:
Medium

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

Continuous Mining Machine Operators

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.

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Learn more about how you can thrive in this position

View analysis
Chat with Coach
Latest news
More career info
Analysis
Chat
News
More

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 analysis

Contributing 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

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Evolving iconEvolving

68.8%

68.8%

Microsoft's Working with AI

AI Applicability

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Stable iconStable

91.4%

91.4%

Will Robots Take My Job

Automation Resilience

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Changing fast iconChanging fast

26.1%

26.1%

Althoff & Reichardt

Economic Growth

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Evolving iconEvolving

47.7%

47.7%

Low Demand

Labor Market Outlook

We use BLS employment projections to complement the AI-focused assessments from other sources.

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Growth Rate (2024-34):

0.6%

Growth Percentile:

29.0%

Annual Openings:

1,600

Annual Openings Pct:

18.3%

Analysis of Current AI Resilience

Continuous Mining Machine Ops

Updated Quarterly • Last Update: 2/17/2026

Analysis
Suggested Actions
State of Automation

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.

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AI Adoption

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.

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More Career Info

Career: Continuous Mining Machine Operators

Employment & Wage Data

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

Task-Level AI Resilience Scores

AI-generated estimates of task resilience over the next 3 years

1

80% ResilienceSupplemental

Guide and assist crews laying track and resetting supports and blocking.

2

75% ResilienceSupplemental

Install casings to prevent cave-ins.

3

70% ResilienceCore Task

Repair, oil, and adjust machines, and change cutting teeth, using wrenches.

4

65% ResilienceSupplemental

Move levers to raise and lower hydraulic safety bars supporting roofs above machines until other workers complete framing.

5

60% ResilienceCore Task

Observe and listen to equipment operation to detect binding or stoppage of tools or other equipment malfunctions.

6

55% ResilienceCore Task

Determine locations, boundaries, and depths of holes or channels to be cut.

7

50% ResilienceCore Task

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.

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