File Clerks
Office & Administrative SupportAI exposure
- Data source: BLSPublished: 2026-08
Very high· relative
LowFour relative bandsVery highGroup-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
- Data source: AnthropicPublished: 2026-03
0.157
0.000Range of values carried here0.745Scale, basis and source
- Data source: ILOPublished: 2025
0.37
0.09Range of values carried here0.70Group-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.
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 13 hidden tasks| Task | Claude.aiRaw / share % | APIRaw / share % |
|---|---|---|
Answer questions about records or files.43-4071 | 0.020775.5 | 0.008114.8 |
Input data, such as file numbers, new or updated information, or document information codes into computer systems to support document and information retrieval.43-4071 | 0.003312.0 | 0.039972.8 |
Gather materials to be filed from departments or employees.43-4071 | 0.00176.2 | —0 |
Design forms related to filing systems.43-4071 | 0.00176.2 | —0 |
Scan or read incoming materials to determine how and where they should be classified or filed. | —0 | 0.00529.5 |
Perform general office activities, such as typing, answering telephones, operating office machines, processing mail, or securing confidential materials. | —0 | 0.00162.9 |
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.
| Task | βE1 + 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 |
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®, Anthropic Economic Index, Eloundou et al. (2023): see full notices on the Credits page