Community Sentiment
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AI Automation Index
Will AI Replace Helpers--Extraction Workers?
Analyze the automation vulnerability, task-level AI risk, salary, and demand projection for Helpers--Extraction Workers. Run the upskilling simulator.
AI Vulnerability
46%
risk score
Median Salary
$47,730 / year
Growth Demand
Low
Constituent Task Mix
We parsed O*NET's 14 constituent tasks for this occupation and classified them by AI threat risk.
High Automation Risk (Routine Tasks) 0%
Medium Automation Risk (Cognitive/Technical) 93%
Low Automation Risk (Strategy/Leadership) 7%
How would you survive?
Automate your routine tasks and design your day around strategic advisory to future-proof this score.
Simulate Upskilling →constituent Tasks
Observe and monitor equipment operation during the extraction process to detect any problems.
Semi-structured cognitive task involving analysis, inspection, or monitoring.
Drive moving equipment to transport materials and parts to excavation sites.
Semi-structured task combining routine and non-routine responsibilities.
Unload materials, devices, and machine parts, using hand tools.
Semi-structured task combining routine and non-routine responsibilities.
Set up and adjust equipment used to excavate geological materials.
Semi-structured task combining routine and non-routine responsibilities.
Organize materials to prepare for use.
Semi-structured task combining routine and non-routine responsibilities.
Repair and maintain automotive and drilling equipment, using hand tools.
Semi-structured task combining routine and non-routine responsibilities.
Clean up work areas and remove debris after extraction activities are complete.
Semi-structured task combining routine and non-routine responsibilities.
Clean and prepare sites for excavation or boring.
Semi-structured task combining routine and non-routine responsibilities.
Load materials into well holes or into equipment, using hand tools.
Semi-structured task combining routine and non-routine responsibilities.
Provide assistance to extraction craft workers, such as earth drillers and derrick operators.
Complex problem-solving, strategic leadership, or high-empathy task requiring human judgment.
Collect and examine geological matter, using hand tools and testing devices.
Semi-structured task combining routine and non-routine responsibilities.
Signal workers to start geological material extraction or boring.
Semi-structured task combining routine and non-routine responsibilities.
Dismantle extracting and boring equipment used for excavation, using hand tools.
Semi-structured task combining routine and non-routine responsibilities.
Dig trenches.
Semi-structured task combining routine and non-routine responsibilities.
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<script src="https://giniloh.com/embed.js" async></script> O*NET Methodology
O*NET Data Source
This page dynamically extracts data structures sponsored by the U.S. Department of Labor. Our AI classification applies cognitive task automation risk models to individual tasks.
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