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AI exposure

  • Data source: BLSPublished: 2026-08

    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: 2026-03

    0.135

    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

    0.47

    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, 23% 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. 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 archival records, such as document descriptions, to allow easy access to information.

O*NET Task ID 7635

1.0
Create and maintain accessible, retrievable computer archives and databases, incorporating current advances in electronic information storage technology.

O*NET Task ID 7630

0.5
Organize archival records and develop classification systems to facilitate access to archival materials.

O*NET Task ID 7631

0.5
Authenticate and appraise historical documents and archival materials.

O*NET Task ID 7632

0.5
Provide reference services and assistance for users needing archival materials.

O*NET Task ID 7633

0.5
Direct activities of workers who assist in arranging, cataloguing, exhibiting, and maintaining collections of valuable materials.

O*NET Task ID 7634

0.5
Preserve records, documents, and objects, copying records to film, videotape, audiotape, disk, or computer formats as necessary.

O*NET Task ID 7636

0.5
Establish and administer policy guidelines concerning public access and use of materials.

O*NET Task ID 7637

0.5
Locate new materials and direct their acquisition and display.

O*NET Task ID 7638

0.5
Research and record the origins and historical significance of archival materials.

O*NET Task ID 7639

0.5
Coordinate educational and public outreach programs, such as tours, workshops, lectures, and classes.

O*NET Task ID 7641

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