Technical Writers

Arts, Design, Entertainment & Media

AI exposure

  • Data source: BLSPublished: '26.08

    Very 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: '26.03

    0.475

    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: '25

    0.55

    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, 12% 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 1 hidden task

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
Organize material and complete writing assignment according to set standards regarding order, clarity, conciseness, style, and terminology.

O*NET Task ID 3966

1.0
Maintain records and files of work and revisions.

O*NET Task ID 3967

1.0
Edit, standardize, or make changes to material prepared by other writers or establishment personnel.

O*NET Task ID 3968

1.0
Review published materials and recommend revisions or changes in scope, format, content, and methods of reproduction and binding.

O*NET Task ID 3970

1.0
Observe production, developmental, and experimental activities to determine operating procedure and detail.

O*NET Task ID 3974

1.0
Arrange for typing, duplication, and distribution of material.

O*NET Task ID 3975

1.0
Develop or maintain online help documentation.

O*NET Task ID 20243

1.0
Select photographs, drawings, sketches, diagrams, and charts to illustrate material.

O*NET Task ID 3971

0.5
Study drawings, specifications, mockups, and product samples to integrate and delineate technology, operating procedure, and production sequence and detail.

O*NET Task ID 3972

0.5
Interview production and engineering personnel and read journals and other material to become familiar with product technologies and production methods.

O*NET Task ID 3973

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