Camera Operators, Television, Video, and Film

Arts, Design, Entertainment & Media

AI exposure

  • Data source: BLSPublished: 2026-08

    High· 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

    0.165

    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

    0.35

    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, 61% 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

Show 5 hidden tasks

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. The unit and the meaning differ from the observed shares (%) in the other tabs, so do not place them on the same axis.

TaskβE1 + 0.5 × E2
Prepare slates that describe the scenes being filmed.

O*NET Task ID 4048

1.0
Write new scripts for broadcasts.

O*NET Task ID 18671

1.0
Operate television or motion picture cameras to record scenes for television broadcasts, advertising, or motion pictures.

O*NET Task ID 4030

0.5
Compose and frame each shot, applying the technical aspects of light, lenses, film, filters, and camera settings to achieve the effects sought by directors.

O*NET Task ID 4031

0.5
Operate zoom lenses, changing images according to specifications and rehearsal instructions.

O*NET Task ID 4032

0.5
Adjust positions and controls of cameras, printers, and related equipment to change focus, exposure, and lighting.

O*NET Task ID 4035

0.5
Confer with directors, sound and lighting technicians, electricians, and other crew members to discuss assignments and determine filming sequences, desired effects, camera movements, and lighting requirements.

O*NET Task ID 4037

0.5
Observe sets or locations for potential problems and to determine filming and lighting requirements.

O*NET Task ID 4038

0.5
Instruct camera operators regarding camera setups, angles, distances, movement, and variables and cues for starting and stopping filming.

O*NET Task ID 4039

0.5
Label and record contents of exposed film and note details on report forms.

O*NET Task ID 4041

0.5

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