Tower Crane Operators

Construction, Maintenance & Repair

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

Exposed tasks only

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
Review daily work or delivery schedules to determine orders, sequences of deliveries, or special loading instructions.

O*NET Task ID 10775

1.0
Determine load weights and check them against lifting capacities to prevent overload.

O*NET Task ID 10767

0.5
Weigh bundles, using floor scales, and record weights for company records.

O*NET Task ID 10774

0.5
Move levers, depress foot pedals, or turn dials to operate cranes, cherry pickers, electromagnets, or other moving equipment for lifting, moving, or placing loads.

O*NET Task ID 10768

0.0
Inspect cables or grappling devices for wear and install or replace cables, as needed.

O*NET Task ID 10769

0.0
Clean, lubricate, and maintain mechanisms such as cables, pulleys, or grappling devices, making repairs, as necessary.

O*NET Task ID 10770

0.0
Inspect and adjust crane mechanisms or lifting accessories to prevent malfunctions or damage.

O*NET Task ID 10771

0.0
Direct helpers engaged in placing blocking or outrigging under cranes.

O*NET Task ID 10772

0.0
Load or unload bundles from trucks, or move containers to storage bins, using moving equipment.

O*NET Task ID 10773

0.0
Direct truck drivers backing vehicles into loading bays and cover, uncover, or secure loads for delivery.

O*NET Task ID 10776

0.0
Inspect bundle packaging for conformance to regulations or customer requirements, and remove and batch packaging tickets.

O*NET Task ID 10777

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