Somewhat Resilient

Last Update: 11/4/2026

AI Resilience Score for Underground Mining Ops:

47.5%

Median Score

Meaningful human contribution

High

Long-term employer demand

Low

Sustained economic opportunity

Med

Our confidence in this score:
Low

Methodology and Scoring Rationale

To score how resilient underground mining machine operations is to AI, we ask one question in three parts:

First, how much of the job still needs a human, read from six AI-exposure sources: our own AI Resilience Model, Anthropic's Observed Exposure, Microsoft's AI Applicability, Will Robots Take My Job, OpenAI Signals, and Google ATLAS. We call this dimension Meaningful Human Contribution (MHC) and weight it at 40%.

Next, whether employers will keep hiring for this job over the long term. This dimension, which we call Long-term Employer Demand (LTE), is calculated from BLS data and weighted at 30%.

Last, whether pay and mobility will hold up. We use wage bill and adaptive capacity data from independent researchers (Althoff & Reichardt, 2026; Manning & Aguirre, 2026). We call this dimension Sustained Economic Opportunity (SEO) and weight it at 30%.

For underground mining machine operators, only three of the nine sources had data, which is why confidence is low. The AI Resilience Model rated human contribution as high, since operating heavy machinery underground is tough for AI to replicate. However, weak hiring demand from the BLS Opportunity Score pulled the score down, leaving this role "Somewhat Resilient."

AI Resilience Report forUnderground Mining Machine Operators, All Other

$70,130 median salary•300 annual openings•SOC Code: 47-5049.00

Underground Mining Machine Operators, All Other are somewhat less resilient to AI impacts than most occupations, according to our analysis of 3 sources.

This career sits in the "Somewhat Resilient" category because AI is genuinely changing how underground mining machine operators work, even if it is not replacing them outright. Tools like tele-remote controls and AI vision systems are taking over some of the routine monitoring and hazard detection tasks that operators used to handle entirely on their own, which means the job is shifting rather than disappearing.

Learn more about how you can thrive in this position

This role is somewhat resilient

This career sits in the "Somewhat Resilient" category because AI is genuinely changing how underground mining machine operators work, even if it is not replacing them outright. Tools like tele-remote controls and AI vision systems are taking over some of the routine monitoring and hazard detection tasks that operators used to handle entirely on their own, which means the job is shifting rather than disappearing.

Read full analysis

Analysis of current AI resilience

Underground Mining Ops

Updated quarterly

Your move

How can Underground Mining Ops prepare for AI?

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Latest AI news for Underground Mining Ops

The recommended articles highlight how AI is transforming underground mining operations, enhancing decision-making and safety for machine operators. For instance, operators can now manage fleets remotely using AI dashboards, which streamlines workflow and increases efficiency. Additionally, automated systems are optimizing drilling and blasting processes, making work safer and more precise. While AI is changing the role of operators, it’s important to note that these professionals will still be essential in overseeing operations, adapting to new technologies, and ensuring safety. Embracing AI can lead to a more resilient and rewarding career in mining.

More Career Info

Career: Underground Mining Machine Operators, All Other

They operate machines underground to safely extract minerals and resources from the earth, ensuring efficient and smooth mining operations.

Employment & Wage Data

Median Wage

$70,130

Jobs (2025)

3,200

Growth (2025-35)

-1.0%

Annual Openings

300

Education

No formal educational credential

Experience

None

Source: Bureau of Labor Statistics, Employment Projections 2025-2035

Task-Level AI Resilience Scores

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

1

90% ResilienceSupplemental

Guide and assist crews in laying track for machines and resetting planer rails, supports, and blocking, using jacks, shovels, sledges, picks, and pinch bars.

2

88% ResilienceCore Task

Position jacks, timbers, or roof supports, and install casings, to prevent cave-ins.

3

86% ResilienceSupplemental

Free jams in planer hoppers, using metal pinch bars.

4

85% ResilienceSupplemental

Remove debris such as loose shale from channels and planer travel areas.

5

82% ResilienceCore Task

Replace worn or broken tools and machine bits and parts, using wrenches, pry bars, and other hand tools, and lubricate machines, using grease guns.

6

65% ResilienceSupplemental

Drive mobile, truck-mounted, or track-mounted drilling or cutting machine in mines and quarries or on construction sites.

7

62% ResilienceCore Task

Reposition machines and move controls to make additional holes or cuts.

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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