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AI Automation Index
Will AI Replace Machine Feeders and Offbearers?
Analyze the automation vulnerability, task-level AI risk, salary, and demand projection for Machine Feeders and Offbearers. Run the upskilling simulator.
AI Vulnerability
50%
risk score
Median Salary
$41,220 / year
Growth Demand
Medium
Constituent Task Mix
We parsed O*NET's 13 constituent tasks for this occupation and classified them by AI threat risk.
High Automation Risk (Routine Tasks) 8%
Medium Automation Risk (Cognitive/Technical) 85%
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
Inspect materials and products for defects, and to ensure conformance to specifications.
Semi-structured cognitive task involving analysis, inspection, or monitoring.
Record production and operational data, such as amount of materials processed.
Routine cognitive or manual task with high vulnerability to automation.
Push dual control buttons and move controls to start, stop, or adjust machinery and equipment.
Semi-structured task combining routine and non-routine responsibilities.
Weigh or measure materials or products to ensure conformance to specifications.
Semi-structured task combining routine and non-routine responsibilities.
Identify and mark materials, products, and samples, following instructions.
Semi-structured task combining routine and non-routine responsibilities.
Clean and maintain machinery, equipment, and work areas to ensure proper functioning and safe working conditions.
Semi-structured task combining routine and non-routine responsibilities.
Load materials and products into machines and equipment, or onto conveyors, using hand tools and moving devices.
Semi-structured task combining routine and non-routine responsibilities.
Transfer materials and products to and from machinery and equipment, using industrial trucks or hand trucks.
Semi-structured task combining routine and non-routine responsibilities.
Fasten, package, or stack materials and products, using hand tools and fastening equipment.
Semi-structured task combining routine and non-routine responsibilities.
Remove materials and products from machines and equipment, and place them in boxes, trucks or conveyors, using hand tools and moving devices.
Semi-structured task combining routine and non-routine responsibilities.
Shovel or scoop materials into containers, machines, or equipment for processing, storage, or transport.
Semi-structured task combining routine and non-routine responsibilities.
Open and close gates of belt and pneumatic conveyors on machines that are fed directly from preceding machines.
Complex problem-solving, strategic leadership, or high-empathy task requiring human judgment.
Add chemicals, solutions, or ingredients to machines or equipment as required by the manufacturing process.
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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