Community Sentiment
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AI Automation Index
Will AI Replace Hoist and Winch Operators?
Analyze the automation vulnerability, task-level AI risk, salary, and demand projection for Hoist and Winch Operators. Run the upskilling simulator.
AI Vulnerability
54%
risk score
Median Salary
$56,450 / year
Growth Demand
Low
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) 92%
Low Automation Risk (Strategy/Leadership) 0%
How would you survive?
Automate your routine tasks and design your day around strategic advisory to future-proof this score.
Simulate Upskilling →constituent Tasks
Move levers, pedals, and throttles to stop, start, and regulate speeds of hoist or winch drums in response to hand, bell, buzzer, telephone, loud-speaker, or whistle signals, or by observing dial indicators or cable marks.
Semi-structured task combining routine and non-routine responsibilities.
Start engines of hoists or winches and use levers and pedals to wind or unwind cable on drums.
Semi-structured task combining routine and non-routine responsibilities.
Observe equipment gauges and indicators and hand signals of other workers to verify load positions or depths.
Semi-structured task combining routine and non-routine responsibilities.
Operate compressed air, diesel, electric, gasoline, or steam-driven hoists or winches to control movement of cableways, cages, derricks, draglines, loaders, railcars, or skips.
Semi-structured task combining routine and non-routine responsibilities.
Move or reposition hoists, winches, loads and materials, manually or using equipment and machines such as trucks, cars, and hand trucks.
Semi-structured task combining routine and non-routine responsibilities.
Select loads or materials according to weight and size specifications.
Semi-structured task combining routine and non-routine responsibilities.
Signal and assist other workers loading or unloading materials.
Routine cognitive or manual task with high vulnerability to automation.
Attach, fasten, and disconnect cables or lines to loads, materials, and equipment, using hand tools.
Semi-structured task combining routine and non-routine responsibilities.
Apply hand or foot brakes and move levers to lock hoists or winches.
Semi-structured task combining routine and non-routine responsibilities.
Oil winch drums so that cables will wind smoothly.
Semi-structured task combining routine and non-routine responsibilities.
Climb ladders to position and set up vehicle-mounted derricks.
Semi-structured task combining routine and non-routine responsibilities.
Repair, maintain, and adjust equipment, using hand tools.
Semi-structured task combining routine and non-routine responsibilities.
Tend auxiliary equipment, such as jacks, slings, cables, or stop blocks, to facilitate moving items or materials for further processing.
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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