Hoist and Winch Operators

Transportation & Material Moving

AI exposure

  • Data source: BLSPublished: 2026-08

    Low· relative

    LowFour relative bandsVery high

    Group-level value

    Scale, basis and source

    Four relative bands (Low / Moderate / High / Very high)

    831 detailed occupations in the BLS Employment Projections table. Assigned per National Employment Matrix (NEM) code, so occupations sharing a NEM code carry the same band

    Source dataset (XLSX download)

  • Data source: AnthropicPublished: 2026-03

    0.000

    0.000Range of values carried here0.745
    Scale, basis and source

    Observed exposure index, 0–1 as published

    Mapped onto O*NET tasks

    Source dataset

  • Data source: ILOPublished: 2025

    0.18

    0.09Range of values carried here0.70

    Group-level value

    Scale, basis and source

    Generative AI exposure index, 0–1 as published

    ISCO-08 unit group — every occupation sharing the code gets this value

    Computed by this site, not published by the ILO: of the 1,012 occupations this site links to the ILO dataset, 90% score at or above this value.

    Source dataset

What kind of figure this source publishes

The BLS category is a relative rank, not an absolute level, and it is not a first-hand measurement: it groups an occupation's percentile ranks across several published studies into four bands. It is not an employment or wage forecast, not a probability of adoption, and it does not separate automation from augmentation.

Task-level exposure

Values in this tab are predicted labels, not observations. Eloundou et al. (2023) published two rating regimes — human raters and GPT-4 — and the β shown here is derived from the GPT-4 rater basis alone; the same task can take a different value under the other regime.

TaskβE1 + 0.5 × E2
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.

O*NET Task ID 4979

0.0
Start engines of hoists or winches and use levers and pedals to wind or unwind cable on drums.

O*NET Task ID 4980

0.0
Observe equipment gauges and indicators and hand signals of other workers to verify load positions or depths.

O*NET Task ID 4981

0.0
Operate compressed air, diesel, electric, gasoline, or steam-driven hoists or winches to control movement of cableways, cages, derricks, draglines, loaders, railcars, or skips.

O*NET Task ID 4982

0.0
Move or reposition hoists, winches, loads and materials, manually or using equipment and machines such as trucks, cars, and hand trucks.

O*NET Task ID 4983

0.0
Select loads or materials according to weight and size specifications.

O*NET Task ID 4984

0.0
Signal and assist other workers loading or unloading materials.

O*NET Task ID 4985

0.0
Attach, fasten, and disconnect cables or lines to loads, materials, and equipment, using hand tools.

O*NET Task ID 4986

0.0
Apply hand or foot brakes and move levers to lock hoists or winches.

O*NET Task ID 4987

0.0
Oil winch drums so that cables will wind smoothly.

O*NET Task ID 4988

0.0
Climb ladders to position and set up vehicle-mounted derricks.

O*NET Task ID 4989

0.0
Repair, maintain, and adjust equipment, using hand tools.

O*NET Task ID 4990

0.0
Tend auxiliary equipment, such as jacks, slings, cables, or stop blocks, to facilitate moving items or materials for further processing.

O*NET Task ID 4991

0.0

β = E1 + 0.5 × E2 · E1 = tasks where direct LLM access alone cuts time by at least 50%, E2 = tasks where software built on top of an LLM cuts time by at least 50%. Values take only 0 / 0.5 / 1.0.

Data sources & licenses — O*NET®, Eloundou et al. (2023): see full notices on the Credits page

Occupation information