Last Update: 3/13/2026
Your role’s AI Resilience Score is
Median Score
Changing Fast
Evolving
Stable
This reflects the reliability of your score based on the number of data sources available for this career and how closely those sources agree on the outlook. A higher confidence means more consistent evidence from labor experts and AI models.
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.
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 analysisLearn more about how you can thrive in this position
Learn more about how you can thrive in this position
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 analysisContributing 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
CareerVillage's proprietary model that estimates how resilient each occupation's tasks are to AI automation and augmentation
Microsoft's Working with AI
AI Applicability
Measures how applicable AI tools (like Bing Copilot) are to each occupation based on real usage patterns
Will Robots Take My Job
Automation Resilience
Estimates the probability of automation for each occupation based on research from Oxford University and other academic sources
Althoff & Reichardt
Economic Growth
Measured as "Wage bill" which is a long term projection for average wage × employment. It's the total labor income flowing to an occupation
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: 2/17/2026

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.

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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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
Signal workers to start geological material extraction or boring.
Repair and maintain automotive and drilling equipment, using hand tools.
Dismantle extracting and boring equipment used for excavation, using hand tools.
Dig trenches.
Provide assistance to extraction craft workers, such as earth drillers and derrick operators.
Unload materials, devices and machine parts, using hand tools.
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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