Somewhat Resilient

Last Update: 5/19/2026

AI Resilience Score for Extraction Workers:

36.8%

Median Score

Meaningful human contribution

Med

Long-term employer demand

Low

Sustained economic opportunity

Med

Our confidence in this score:
Medium

Contributing sources

Methodology and Scoring Rationale

To score how resilient extraction worker helper roles is to AI, we ask one question in three parts:

First, how much of the job still needs a human, read from four AI-exposure sources: our own AI Resilience Model, Anthropic's Observed Exposure, Microsoft's AI Applicability, and Will Robots Take My Job. 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 extraction worker helpers, six of seven sources had data (only Anthropic was missing). Sources split on AI exposure: Microsoft saw low risk while Will Robots Take My Job saw high, pulling confidence to medium. Weak hiring outlook from the BLS Opportunity Score dragged the score down, leaving this role "Somewhat Resilient."

AI Resilience Report forHelpers--Extraction Workers

$48,400 median salary700 annual openingsSOC Code: 47-5081.00

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

Helpers in extraction work are labeled "Somewhat Resilient" because AI is genuinely changing some key parts of the job — autonomous haul trucks and AI-assisted drilling are already handling tasks that workers used to do directly, and that shift is only going to grow. That said, plenty of hands-on work like rigging, cleanup, and equipment dismantling still needs a real person on the ground, and mines are cautious about rushing into full automation because of safety concerns and high costs.

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This role is somewhat resilient

Helpers in extraction work are labeled "Somewhat Resilient" because AI is genuinely changing some key parts of the job — autonomous haul trucks and AI-assisted drilling are already handling tasks that workers used to do directly, and that shift is only going to grow. That said, plenty of hands-on work like rigging, cleanup, and equipment dismantling still needs a real person on the ground, and mines are cautious about rushing into full automation because of safety concerns and high costs.

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Analysis of Current AI Resilience

Extraction Workers

Updated Quarterly

Analysis
Suggested Actions
State of Automation

How is AI changing Extraction Workers jobs?

If you've ever pictured mining as just pickaxes and hard hats, the reality in 2026 looks a lot more high-tech — but the good news is that AI is mostly helping extraction helpers rather than replacing them. The biggest change is on the haul road: autonomous trucks were first tested in remote iron ore mines in Western Australia in 2008, and now there are nearly 4,000 around the world, with more than half in use in mines in China. In Minnesota, Mesabi Metallics is deploying 400-ton driverless haul trucks as part of a $110 million equipment purchase, directly affecting the "drive moving equipment" task.

AI is also entering drilling — Hexagon's Drill Assist uses an AI engine that monitors machine feedback every 10 milliseconds [1] and has produced productivity gains of 20–30% over the best human operators, helping with the "observe and monitor equipment" task. Deloitte's 2026 Mining and Metals Industry Outlook [2] expects miners to scale autonomous hauling, drilling, AI-enabled process control, and predictive maintenance, while keeping humans in charge of safety-critical decisions. Importantly, a mining engineering professor told Marketplace [3] that the practice in the world shows that automation doesn't reduce jobs — it changes the nature of the job, shifting roles toward control room operators and data analysts.

Hands-on assistance with rigging, cleanup, and equipment dismantling still depends on humans, as a Permian Basin floorhand described in a recent BLS Career Outlook interview [4].

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AI Adoption

How fast is AI adoption growing for Extraction Workers?

Adoption is moving quickly in some places and slowly in others. Pushing it forward: a severe skills crunch. The CIM article notes a severe labour shortage in which it can take about a decade to train a driller to expert level, making AI tools attractive.

Global Mining Review predicts smaller, agile miners will lead innovation [5] because they lack legacy systems. Slowing adoption: high equipment costs (those Komatsu trucks aren't cheap), underground navigation limits, union caution, and risk aversion — miners are really risk averse, and the last thing they want is plans designed automatically that aren't good. The encouraging takeaway: human judgment, teamwork, and adaptability still matter, and workers who build digital and safety skills will be well positioned for the future.

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Will AI replace Extraction Workers?

Will AI replace Extraction Workers?

Not entirely. We think AI will take over some tasks, but not the whole job.

Extraction helpers score a 36.8% AI Resilience Score, which means this role faces real pressure. Autonomous haul trucks are already a global reality, with nearly 4,000 in operation worldwide, and AI-assisted drilling tools have shown productivity gains of 20 to 30% over skilled human operators [1]. Deloitte expects mines to keep scaling autonomous hauling, drilling, and predictive maintenance through the coming years [2].

Still, the job does not disappear. Hands-on work like rigging, cleanup, and equipment dismantling still depends on human presence and judgment [4]. A mining engineering professor noted that in practice, automation tends to change the nature of jobs rather than eliminate them, shifting workers toward control room and data roles [3]. The catch is that long-term employer demand looks weak, so the overall number of openings may shrink even as individual roles evolve.

The honest picture: workers who build digital skills and stay adaptable have a real path forward. The physical, safety-critical, and problem-solving parts of this job still need a human on site. AI is reshaping the work, not erasing the worker.

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Latest AI news for Extraction Workers

These articles highlight how AI is reshaping careers for Helpers--Extraction Workers by enhancing safety and efficiency in mining. For instance, AI can optimize processes like crushing and grinding, leading to more effective operations. Additionally, understanding the human cost of AI moderation emphasizes the importance of mental well-being in tech-driven environments. As AI continues to evolve, workers can build resilience by adapting to new technologies and focusing on roles that require human oversight and creativity, ensuring their relevance in the industry.

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.

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

92% ResilienceCore Task

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

2

90% ResilienceCore Task

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

3

90% ResilienceCore Task

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

4

88% ResilienceCore Task

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

5

87% ResilienceSupplemental

Signal workers to start geological material extraction or boring.

6

85% ResilienceSupplemental

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

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.

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