Statistical Assistants

Office & Administrative Support

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

    0.510

    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

    0.57

    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, 7% 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
Compute and analyze data, using statistical formulas and computers or calculators.

O*NET Task ID 9788

1.0
Enter data into computers for use in analyses or reports.

O*NET Task ID 9789

1.0
Compile statistics from source materials, such as production or sales records, quality-control or test records, time sheets, or survey sheets.

O*NET Task ID 9790

1.0
Compile reports, charts, or graphs that describe and interpret findings of analyses.

O*NET Task ID 9791

1.0
Check source data to verify completeness and accuracy.

O*NET Task ID 9792

1.0
Participate in the publication of data or information.

O*NET Task ID 9793

1.0
File data and related information, and maintain and update databases.

O*NET Task ID 9795

1.0
Select statistical tests for analyzing data.

O*NET Task ID 9796

1.0
Organize paperwork, such as survey forms or reports, for distribution or analysis.

O*NET Task ID 9797

1.0
Code data prior to computer entry, using lists of codes.

O*NET Task ID 9798

1.0
Discuss data presentation requirements with clients.

O*NET Task ID 9794

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