Will AI replace Extraction Workers?

Not entirely. We think AI will take over some tasks, but not the whole job. Our 42.1% AI Resilience Score tells the real story here: this role is under genuine pressure, but it is not going away. Autonomous haulage systems at large mine sites have already replaced hundreds of operator positions , and the U.S. government signed a five-year agreement in 2026 specifically to accelerate AI and automation across the mining sector . That is real displacement, and it is worth taking seriously. What stays human is the hands-on work: clearing debris, prepping tools, setting up sites, and responding to unpredictable physical conditions that machines still struggle with. AI is handling equipment monitoring, drone scanning, and predictive maintenance, but those tasks augment the crew rather than replace it entirely. Nearly half the U.S. mining workforce is expected to leave the industry within a decade due to aging demographics , which means companies need people, not fewer of them. The catch is that long-term employer demand for this role is weak, so the path forward is not just showing up. Helpers who build skills in tech, safety, and remote systems are the ones who will move into better-paying roles and stay employed as the industry keeps changing.

How is AI changing Extraction Workers jobs?

AI is already showing up on mine sites, but it's mostly changing how extraction helpers work rather than erasing the job entirely. According to the Society for Mining, Metallurgy & Exploration (SME) , automation, robotic systems, AI, machine learning, IoT, digital twins, drones and remote monitoring have become recurring themes across its annual conference sessions, showing up as long-term innovation trends the industry is actively investing in. The biggest change closest to helper tasks is autonomous haulage: a 2026 industry guide notes that Komatsu's Autonomous Haulage System deployments in Australia and Chile have directly replaced hundreds of operator positions at individual mine sites, though construction and extraction occupations overall are still projected to grow through 2030 in the Bureau of Labor Statistics outlook . At the same time, exploration and monitoring work is being augmented — a CIM Magazine report found that 77% of mineral exploration professionals now use AI tools but just 21% use them regularly, with 36% saying the main benefit so far is faster decision-making and more efficient use of resources rather than transformative change. In practical terms for helpers, that means AI is handling equipment monitoring, drone site scanning and predictive maintenance alerts, while people still handle the hands-on debris clearing, tool prep and site setup that machines struggle with.

How fast is AI adoption growing for Extraction Workers?

Adoption is happening quickly at large open-pit mines but slowly for smaller crews. On the fast side, the U.S. government is actively pushing it: ISHN reports that DOE and DOL signed a five-year MOU in July 2026 in which the Departments of Energy and Labor established a framework to accelerate the deployment of artificial intelligence, automation, advanced sensors, and other emerging technologies across the mining sector. A serious labor shortage is another accelerator — McKinsey partner Thibaut Larrat told the 2026 SIMPOSIO mining conference that nearly half of the U.S. mining workforce will leave the industry in the next decade due to aging demographics, and enrollment in mining engineering programs has fallen 35%, pushing companies toward automation to fill gaps. On the slow side, cost and trust matter: CIM's reporting on the VRIFY/Ipsos survey names budget constraints, unclear ROI and distrust of AI outputs as key barriers, with financial constraints weighing heaviest on smaller companies. The encouraging news for young people is that helpers who build tech and safety skills are in demand — new roles like FMS controllers, remote operations supervisors and autonomous systems technicians often pay 20–30% above traditional operator wages, meaning the safest path forward is leaning into training rather than fearing the change.

Somewhat Resilient

Last Update: 11/4/2026

AI Resilience Score for Extraction Workers:

42.1%

Median Score

Meaningful human contribution

Med

Long-term employer demand

Low

Sustained economic opportunity

Med

Our confidence in this score:

Low-medium

AI Resilience Report forHelpers--Extraction Workers

$47,730 median salary•700 annual openings•SOC Code: 47-5081.00

Helpers--Extraction Workers are somewhat less resilient to AI impacts than most occupations, according to our analysis of 6 sources.

Extraction helpers are labeled "Somewhat Resilient" because AI is genuinely changing the job, but not wiping it out. Big tasks like hauling and equipment monitoring are being handed off to autonomous systems and sensors, which means some traditional roles are shrinking, especially at large mines.

Learn more about how you can thrive in this position

This role is somewhat resilient

Extraction helpers are labeled "Somewhat Resilient" because AI is genuinely changing the job, but not wiping it out. Big tasks like hauling and equipment monitoring are being handed off to autonomous systems and sensors, which means some traditional roles are shrinking, especially at large mines.

Read full analysis

Analysis of current AI resilience

Extraction Workers

Updated quarterly

Your move

How can Extraction Workers prepare for AI?

Learn how autonomous haulage and fleet management systems work.

The analysis specifically calls out Komatsu's Autonomous Haulage System as a technology already replacing operator positions at large mines in Australia and Chile. Look up how these systems work through free YouTube videos, Komatsu's own website, or introductory courses on autonomous vehicles. Understanding how Fleet Management System (FMS) controllers operate is especially valuable, since the analysis notes these roles pay 20 to 30 percent more than traditional operator wages and are in growing demand.

Get comfortable with drones, sensors, and remote monitoring tools.

The analysis explains that AI is already handling drone site scanning, equipment monitoring, and predictive maintenance alerts at active mine sites. You can start building this skill set now by joining a drone club, taking an FAA Part 107 drone certification course online, or exploring free IoT (Internet of Things) tutorials on platforms like Coursera or Khan Academy. Helpers who understand how these tools collect and report data will be far more useful on a modern mine site than those who do not.

Follow the DOE and DOL partnership on mining technology.

The analysis highlights a real five-year agreement signed in July 2026 between the U.S. Departments of Energy and Labor to accelerate AI, automation, and advanced sensors across the mining sector. Bookmark the ISHN and BLS websites (ishn.com and bls.gov) and check them regularly for updates on training programs, apprenticeships, or certifications that come out of this initiative. Government-backed programs like this often create funded training opportunities that cost you little or nothing.

Build your safety knowledge alongside your tech skills.

The analysis points out that hands-on work like debris clearing, tool prep, and site setup still requires human workers because machines struggle with these tasks. Pair that physical skill set with formal safety training (such as MSHA Part 46 or Part 48 surface or underground miner training) so you are qualified to work in environments where both people and autonomous systems are operating side by side. Workers who understand both the human safety side and the technology side are exactly what companies need as they navigate this transition.

Explore mining engineering programs and community college pathways early.

The analysis notes that enrollment in mining engineering programs has dropped 35%, which actually creates opportunity for young people who show up ready to learn. Research two-year programs at community colleges that offer certificates in heavy equipment operation, geotechnical technology, or industrial automation. These programs often have direct connections to employers who are actively struggling to fill roles, and they position you for the newer titles the analysis mentions, such as remote operations supervisor or autonomous systems technician, without requiring a four-year degree to get started.

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More Career Info

Career: 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.

SOC Code:

47-5081.00•Source: Bureau of Labor Statistics

Parent Careers

Major Group:Construction and Extraction Occupations

Minor Group:Extraction Workers

Broad Group:Helpers--Extraction Workers

Alternate Titles

Driller Helper · Driller's Assistant · Miner Helper · Powderman · Continuous Miner Operator Helper · Longwall Machine Operator Helper · Salt Miner

Employment & Wage Data

Median Wage

$47,730

Jobs (2025)

7,100

Growth (2025-35)

+1.7%

Annual Openings

700

Education

High school diploma or equivalent

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

92% ResilienceCore Task

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

2

90% ResilienceSupplemental

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

3

88% ResilienceSupplemental

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

4

86% ResilienceCore Task

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

5

85% ResilienceCore Task

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

6

84% ResilienceCore Task

Clean and prepare sites for excavation or boring.

7

82% ResilienceCore Task

Clean up work areas and remove debris after extraction activities are complete.

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.

Somewhat Resilient

42.1%

Methodology and Scoring Rationale

AI Resilience Report forHelpers--Extraction Workers

This role is somewhat resilient

Extraction Workers

How is AI changing Extraction Workers jobs?

Sources

How fast is AI adoption growing for Extraction Workers?

Sources

Will AI replace Extraction Workers?

Sources

How can Extraction Workers prepare for AI?

Your Career Starts Here

Latest AI news for Extraction Workers

More Career Info

Career: Helpers--Extraction Workers

Parent Careers

Alternate Titles

Employment & Wage Data

Task-Level AI Resilience Scores

1

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3

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5

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7