Community Sentiment
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AI Automation Index
Will AI Replace Laborers and Freight, Stock, and Material Movers, Hand?
Analyze the automation vulnerability, task-level AI risk, salary, and demand projection for Laborers and Freight, Stock, and Material Movers, Hand. Run the upskilling simulator.
AI Vulnerability
50%
risk score
Median Salary
$40,240 / year
Growth Demand
Very High
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) 15%
Medium Automation Risk (Cognitive/Technical) 69%
Low Automation Risk (Strategy/Leadership) 16%
How would you survive?
Automate your routine tasks and design your day around strategic advisory to future-proof this score.
Simulate Upskilling →constituent Tasks
Maintain equipment storage areas to ensure that inventory is protected.
Semi-structured task combining routine and non-routine responsibilities.
Read work orders or receive oral instructions to determine work assignments or material or equipment needs.
Semi-structured task combining routine and non-routine responsibilities.
Move freight, stock, or other materials to and from storage or production areas, loading docks, delivery vehicles, ships, or containers, by hand or using trucks, tractors, or other equipment.
Semi-structured task combining routine and non-routine responsibilities.
Install protective devices, such as bracing, padding, or strapping, to prevent shifting or damage to items being transported.
Semi-structured task combining routine and non-routine responsibilities.
Sort cargo before loading and unloading.
Routine cognitive or manual task with high vulnerability to automation.
Attach identifying tags to containers or mark them with identifying information.
Semi-structured task combining routine and non-routine responsibilities.
Record numbers of units handled or moved, using daily production sheets or work tickets.
Routine cognitive or manual task with high vulnerability to automation.
Attach slings, hooks, or other devices to lift cargo and guide loads.
Complex problem-solving, strategic leadership, or high-empathy task requiring human judgment.
Carry needed tools or supplies from storage or trucks and return them after use.
Semi-structured task combining routine and non-routine responsibilities.
Pack containers and re-pack damaged containers.
Semi-structured task combining routine and non-routine responsibilities.
Assemble product containers or crates, using hand tools and precut lumber.
Semi-structured task combining routine and non-routine responsibilities.
Adjust controls to guide, position, or move equipment, such as cranes, booms, or cameras.
Complex problem-solving, strategic leadership, or high-empathy task requiring human judgment.
Connect electrical equipment to power sources so that it can be tested before use.
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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