Office Machine Operators
Office & Administrative SupportAI exposure
- Data source: BLSPublished: 2026-08
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
0.024
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
Exposed tasks only| Task | Claude.aiRaw / share % | APIRaw / share % |
|---|---|---|
Sort, assemble, and proof completed work.43-9071 | 0.00000.0 | 0.0100100.0 |
| Not observed on any surface — 17 task(s) — These tasks have no row in the source for this release. The 0 in the share row is a display-stage composition ratio; absence is what the — in the raw row states. | ||
Read job orders to determine the type of work to be done, the quantities to be produced, and the materials needed. | —0 | —0 |
Operate office machines such as high speed business photocopiers, readers, scanners, addressing machines, stencil-cutting machines, microfilm readers or printers, folding and inserting machines, bursters, and binder machines. | —0 | —0 |
Place original copies in feed trays, feed originals into feed rolls, or position originals on tables beneath camera lenses. | —0 | —0 |
Compute prices for services and receive payment, or provide supervisors with billing information. | —0 | —0 |
Set up and adjust machines, regulating factors such as speed, ink flow, focus, and number of copies. | —0 | —0 |
Monitor machine operation, and make adjustments as necessary to ensure proper operation. | —0 | —0 |
Load machines with materials such as blank paper or film. | —0 | —0 |
Maintain stock of supplies, and requisition any needed items. | —0 | —0 |
File and store completed documents. | —0 | —0 |
Clean machines, perform minor repairs, and report major repair needs. | —0 | —0 |
Operate auxiliary machines such as collators, pad and tablet making machines, staplers, and paper punching, folding, cutting, and perforating machines. | —0 | —0 |
Complete records of production, including work volumes and outputs, materials used, and any backlogs. | —0 | —0 |
Deliver completed work. | —0 | —0 |
Prepare and process papers for use in scanning, microfilming, and microfiche. | —0 | —0 |
Clean and file master copies or plates. | —0 | —0 |
Cut copies apart and write identifying information, such as page numbers or titles, on copies. | —0 | —0 |
Move heat units and clamping frames over screen beds to form Braille impressions on pages, raising frames to release individual copies. | —0 | —0 |
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 |
|---|---|
Read job orders to determine the type of work to be done, the quantities to be produced, and the materials needed.O*NET Task ID 13288 | 1.0 |
Compute prices for services and receive payment, or provide supervisors with billing information.O*NET Task ID 13291 | 1.0 |
Sort, assemble, and proof completed work.O*NET Task ID 13292 | 1.0 |
File and store completed documents.O*NET Task ID 13297 | 1.0 |
Complete records of production, including work volumes and outputs, materials used, and any backlogs.O*NET Task ID 13300 | 1.0 |
Operate office machines such as high speed business photocopiers, readers, scanners, addressing machines, stencil-cutting machines, microfilm readers or printers, folding and inserting machines, bursters, and binder machines.O*NET Task ID 13289 | 0.5 |
Maintain stock of supplies, and requisition any needed items.O*NET Task ID 13296 | 0.5 |
Prepare and process papers for use in scanning, microfilming, and microfiche.O*NET Task ID 13302 | 0.5 |
Cut copies apart and write identifying information, such as page numbers or titles, on copies.O*NET Task ID 13303 | 0.5 |
Place original copies in feed trays, feed originals into feed rolls, or position originals on tables beneath camera lenses.O*NET Task ID 13290 | 0.0 |
Set up and adjust machines, regulating factors such as speed, ink flow, focus, and number of copies.O*NET Task ID 13293 | 0.0 |
Monitor machine operation, and make adjustments as necessary to ensure proper operation.O*NET Task ID 13294 | 0.0 |
Load machines with materials such as blank paper or film.O*NET Task ID 13295 | 0.0 |
Clean machines, perform minor repairs, and report major repair needs.O*NET Task ID 13298 | 0.0 |
Operate auxiliary machines such as collators, pad and tablet making machines, staplers, and paper punching, folding, cutting, and perforating machines.O*NET Task ID 13299 | 0.0 |
Deliver completed work.O*NET Task ID 13301 | 0.0 |
Clean and file master copies or plates.O*NET Task ID 13304 | 0.0 |
Move heat units and clamping frames over screen beds to form Braille impressions on pages, raising frames to release individual copies.O*NET Task ID 13305 | 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®, Anthropic Economic Index, Eloundou et al. (2023): see full notices on the Credits page