File Clerks

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

    0.157

    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

    0.37

    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, 53% 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
Add new material to file records or create new records as necessary.

O*NET Task ID 2593

1.0
Track materials removed from files to ensure that borrowed files are returned.

O*NET Task ID 2595

1.0
Gather materials to be filed from departments or employees.

O*NET Task ID 2596

1.0
Sort or classify information according to guidelines, such as content, purpose, user criteria, or chronological, alphabetical, or numerical order.

O*NET Task ID 2597

1.0
Assign and record or stamp identification numbers or codes to index materials for filing.

O*NET Task ID 2601

1.0
Answer questions about records or files.

O*NET Task ID 2602

1.0
Modify or improve filing systems or implement new filing systems.

O*NET Task ID 2603

1.0
Eliminate outdated or unnecessary materials, destroying them or transferring them to inactive storage, according to file maintenance guidelines or legal requirements.

O*NET Task ID 2605

1.0
Design forms related to filing systems.

O*NET Task ID 2608

1.0
Input data, such as file numbers, new or updated information, or document information codes into computer systems to support document and information retrieval.

O*NET Task ID 20627

1.0
Place materials into storage receptacles, such as file cabinets, boxes, bins, or drawers, according to classification and identification information.

O*NET Task ID 2600

0.0
Operate mechanized files that rotate to bring needed records to a particular location.

O*NET Task ID 2607

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