BETA

Updated: Feb 6

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BETA

Updated: Feb 6

Evolving

Last Update: 11/21/2025

Your role’s AI Resilience Score is

39.8%

Median Score

Changing Fast

Evolving

Stable

Our confidence in this score:
Low-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

Helpers--Extraction Workers

They assist miners by carrying tools and equipment, clearing debris, and ensuring safety to help extract minerals and resources from the ground.

Summary

The career of Helpers--Extraction Workers is labeled as "Evolving" because AI and technology are increasingly being used in mining for tasks like driving and equipment monitoring, which improve safety and efficiency. However, many hands-on tasks, such as cleaning up debris and performing complex repairs, still require human skills and judgment that machines can't easily replicate.

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Summary

The career of Helpers--Extraction Workers is labeled as "Evolving" because AI and technology are increasingly being used in mining for tasks like driving and equipment monitoring, which improve safety and efficiency. However, many hands-on tasks, such as cleaning up debris and performing complex repairs, still require human skills and judgment that machines can't easily replicate.

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Contributing 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

Learn about this score
Evolving iconEvolving

30.6%

30.6%

Microsoft's Working with AI

AI Applicability

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Stable iconStable

94.0%

94.0%

Will Robots Take My Job

Automation Resilience

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Evolving iconEvolving

34.6%

34.6%

Low Demand

Labor Market Outlook

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

Learn about this score

Growth Rate (2024-34):

-1.7%

Growth Percentile:

19.2%

Annual Openings:

0.7

Annual Openings Pct:

7.5%

Analysis of Current AI Resilience

Extraction Workers

Updated Quarterly • Last Update: 11/22/2025

Analysis
Suggested Actions
State of Automation

State of Automation & Augmentation

Mining is already using more technology in day-to-day tasks. For example, many mines now have driverless haul trucks that carry rock and ore. These trucks run by remote control and AI and have shown lower costs and even fewer accidents [1] [2].

Sensors and machine-learning tools also keep an eye on equipment. By monitoring trucks, drills, and conveyor machines, they can predict when a part might fail. This helps crews fix problems before a breakdown, improving safety and uptime [1] [1].

However, not every helper task is automated yet. Cleaning up extra debris, unloading gear, or taking apart heavy drills are usually still done by people, because these jobs involve careful attention and flexible skills. People use hand tools and judgment that machines can’t easily match.

In general, mining experts note that automation has been around in mining for decades to improve safety and accuracy [1] [1]. But many support tasks – like site cleanup and complex repairs – remain largely manual. In short, robots and AI are helping with big, repetitive jobs (like driving and monitoring), while human workers still do the hands-on cleanup and maintenance that need dexterity and problem-solving.

Sources

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AI Adoption

AI Adoption

Whether a mine uses AI depends on cost, skills, and safety. Big mining companies often can afford the expensive ad­vanced robots and electronics, and they get benefits like running equipment 24/7 and protecting workers [1] [2]. In regions facing worker shortages, firms are especially interested in automation to keep mining moving [2] [1].

For example, Canadian miners are modernizing operations with new digital tools to attract young workers and meet demand [2].

But there are challenges, too. New AI systems need good internet, expert programmers, and high upfront investment, which not all operations have [1] [2]. Some workers and unions worry about job security – strikes have even mentioned automation pressure in bargaining talks [2].

Overall, experts say mining is cautious but hopeful: mines see clear safety and efficiency gains, but they also value human expertise. In many cases, AI augments rather than replaces helpers, giving people tools (like smart sensors and remote controls) to work more safely and smartly.

Sources

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More Career Info

Career: Helpers--Extraction Workers

Employment & Wage Data

Median Wage

$48,400

Jobs (2024)

7,000

Growth (2024-34)

-1.7%

Annual Openings

700

Education

High school diploma or equivalent

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

65% ResilienceCore Task

Repair and maintain automotive and drilling equipment, using hand tools.

2

65% ResilienceCore Task

Dismantle extracting and boring equipment used for excavation, using hand tools.

3

65% ResilienceCore Task

Unload materials, devices and machine parts, using hand tools.

4

65% ResilienceSupplemental

Load materials into well holes or into equipment, using hand tools.

5

65% ResilienceSupplemental

Clean and prepare sites for excavation or boring.

6

65% ResilienceSupplemental

Collect and examine geological matter, using hand tools and testing devices.

7

55% ResilienceCore Task

Provide assistance to extraction craft workers, such as earth drillers and derrick operators.

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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