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 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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Learn more about how you can thrive in this position
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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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
Extraction Workers
Updated Quarterly • Last Update: 11/22/2025

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.

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.

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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
AI-generated estimates of task resilience over the next 3 years
Repair and maintain automotive and drilling equipment, using hand tools.
Dismantle extracting and boring equipment used for excavation, using hand tools.
Unload materials, devices and machine parts, using hand tools.
Load materials into well holes or into equipment, using hand tools.
Clean and prepare sites for excavation or boring.
Collect and examine geological matter, using hand tools and testing devices.
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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