Administrative Assistants
Office & Administrative SupportAI exposure
- Data source: BLSPublished: '26.08
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: '26.03
0.453
0.000Range of values carried here0.745Scale, basis and source
- Data source: ILOPublished: '25
0.58
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, 5% 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 3 hidden tasksValues 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 |
|---|---|
Open, read, route, and distribute incoming mail or other materials and answer routine letters.O*NET Task ID 2794 | 1.0 |
Complete forms in accordance with company procedures.O*NET Task ID 2795 | 1.0 |
Review work done by others to check for correct spelling and grammar, ensure that company format policies are followed, and recommend revisions.O*NET Task ID 2797 | 1.0 |
Conduct searches to find needed information, using such sources as the Internet.O*NET Task ID 2805 | 1.0 |
Take dictation in shorthand or by machine and transcribe information.O*NET Task ID 2811 | 1.0 |
Use computers for various applications, such as database management or word processing.O*NET Task ID 20280 | 1.0 |
Create, maintain, and enter information into databases.O*NET Task ID 20281 | 1.0 |
Set up and manage paper or electronic filing systems, recording information, updating paperwork, or maintaining documents, such as attendance records, correspondence, or other material.O*NET Task ID 20282 | 1.0 |
Compose, type, and distribute meeting notes, routine correspondence, or reports, such as presentations or expense, statistical, or monthly reports.O*NET Task ID 20284 | 1.0 |
Develop or maintain internal or external company Web sites.O*NET Task ID 20288 | 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®, Eloundou et al. (2023): see full notices on the Credits page
Occupation information
Recent Changes Affecting This Occupation
Apr 2026: NBER survey of 6,000 executives: 69% use AI but 90% report zero employment impact. Executives predict -0.7% employment decline over next 3 years.
[Source: NBER Working Paper 34836]Apr 2026: Brookings 2024 flags office/admin support (19M US workers, majority female) as among the five highest-exposure occupation families to generative AI. Over 50% of daily tasks are exposure-scored as assistable or replaceable by current LLMs.
[Source: Brookings 2024 — Generative AI, the American worker]Apr 2026: OpenAI framework flags administrative assistants in office/administrative high-risk band; ChatGPT usage in this category is roughly 3x the average.
[Source: OpenAI Jobs Transition Framework, April 2026]