Evolving

Last Update: 3/13/2026

Your role’s AI Resilience Score is

54.2%

Median Score

Changing Fast

Evolving

Stable

Our confidence in this score:
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.

This role is evolving

This career is labeled as "Evolving" because AI and robots are starting to take over some tasks in mining and oil extraction, like inspecting equipment and moving materials, which makes the work safer and more efficient. However, there are still a lot of tasks that need human skills, such as solving unexpected problems, making decisions based on sensor data, and handling complex repairs.

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Learn more about how you can thrive in this position

View analysis
Chat with Coach
Latest news
More career info
Analysis
Chat
News
More

This role is evolving

This career is labeled as "Evolving" because AI and robots are starting to take over some tasks in mining and oil extraction, like inspecting equipment and moving materials, which makes the work safer and more efficient. However, there are still a lot of tasks that need human skills, such as solving unexpected problems, making decisions based on sensor data, and handling complex repairs.

Read full analysis

Contributing Sources

We aggregate scores from multiple models and supplement with employment projections for a more accurate picture of this occupation’s resilience. Expand to view all sources.

AI Resilience

AI Resilience Model v1.0

AI Task Resilience

Learn about this score
Evolving iconEvolving

48.0%

48.0%

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

31.0%

31.0%

Althoff & Reichardt

Economic Growth

Learn about this score
Evolving iconEvolving

47.7%

47.7%

Low Demand

Labor Market Outlook

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

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Growth Rate (2024-34):

-1.7%

Growth Percentile:

19.2%

Annual Openings:

700

Annual Openings Pct:

7.5%

Analysis of Current AI Resilience

Extraction Workers

Updated Quarterly • Last Update: 2/17/2026

Analysis
Suggested Actions
State of Automation

What's changing and what's not

In mining and oil extraction, some machines and AI tools are already helping with basic helper tasks. For example, self-driving haul trucks carry material around without drivers, only checking in with a remote controller [1]. Drones and small robots now inspect rigs and tanks – they can fly around platforms or “crawl” inside storage tanks to check for damage or clean sludge [2] [2].

These tools reduce dangerous work like climbing or manual tank cleaning. On the other hand, many tasks still need people. Watching equipment for problems, sorting debris, or organizing tools often uses sensor data plus human decisions [2] [1].

Companies are using AI to monitor machine health (for example, real-time sensors can predict failures and alert workers [1]), but humans still investigate and fix things. Tasks like dismantling heavy drilling gear or doing repairs remain mostly manual – robots and AI can’t easily handle every surprise in that work [3] [1]. In short, helpers see some automation: robots that inspect, clean or move heavy stuff are growing, but skilled helpers and technicians still do much of the hands-on work.

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AI Adoption

AI in the real world

Oil and mining firms adopt AI when it clearly saves money, time or improves safety. For instance, driverless machines cut labor hours and even reduce injuries by keeping workers out of harm’s way [1] [1]. Companies under pressure to cut costs (like during low oil prices) invest in automation to stay competitive [4] [1].

But new technology can be very expensive and complex, so change usually happens gradually. Big robots cost millions and need new training before use [5] [1]. Also, oil and mining sites can be remote or hazardous (extreme weather, explosions, dust), making reliable AI tools harder to deploy.

Some workers are concerned about jobs, and experts note humans still outperform AI at unexpected problems [1] [1]. Overall, industries balance these factors: they build on AI where it clearly helps (better safety, data insights or efficiency) but keep people in roles that use human judgment, flexibility, and teamwork – skills robots lack. This mix means helpers’ jobs will change with technology, but human skills will remain valuable and often irreplaceable [3] [1].

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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

85% ResilienceSupplemental

Signal workers to start geological material extraction or boring.

2

80% ResilienceCore Task

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

3

75% ResilienceCore Task

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

4

75% ResilienceSupplemental

Dig trenches.

5

70% ResilienceCore Task

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

6

65% ResilienceCore Task

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

7

60% ResilienceSupplemental

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

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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