Executive 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

    0.234

    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

    0.54

    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, 13% 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 invoices, reports, memos, letters, financial statements, and other documents, using word processing, spreadsheet, database, or presentation software.

O*NET Task ID 2771

1.0
Read and analyze incoming memos, submissions, and reports to determine their significance and plan their distribution.

O*NET Task ID 2772

1.0
Open, sort, and distribute incoming correspondence, including faxes and email.

O*NET Task ID 2773

1.0
Prepare responses to correspondence containing routine inquiries.

O*NET Task ID 2776

1.0
Compile, transcribe, and distribute minutes of meetings.

O*NET Task ID 2781

1.0
Attend meetings to record minutes.

O*NET Task ID 2782

1.0
Interpret administrative and operating policies and procedures for employees.

O*NET Task ID 2788

1.0
Provide clerical support to other departments.

O*NET Task ID 18577

1.0
Manage and maintain executives' schedules.

O*NET Task ID 2770

0.5
File and retrieve corporate documents, records, and reports.

O*NET Task ID 2774

0.5
Greet visitors and determine whether they should be given access to specific individuals.

O*NET Task ID 2775

0.0
Meet with individuals, special interest groups, and others on behalf of executives, committees, and boards of directors.

O*NET Task ID 2784

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