Weighers, Measurers, Checkers, and Samplers, Recordkeeping
Office & Administrative SupportAI exposure
- Data source: BLSPublished: 2026-08
Moderate· 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
0.000
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 12 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 |
|---|---|
Document quantity, quality, type, weight, test result data, and value of materials or products to maintain shipping, receiving, and production records and files.O*NET Task ID 11380 | 1.0 |
Compute product totals and charges for shipments.O*NET Task ID 11385 | 1.0 |
Operate scalehouse computers to obtain weight information about incoming shipments such as those from waste haulers.O*NET Task ID 11388 | 1.0 |
Maintain financial records, such as accounts of daily collections and billings, and records of receipts issued.O*NET Task ID 11392 | 1.0 |
Prepare measurement tables and conversion charts, using standard formulas.O*NET Task ID 11399 | 1.0 |
Compare product labels, tags, or tickets, shipping manifests, purchase orders, and bills of lading to verify accuracy of shipment contents, quality specifications, or weights.O*NET Task ID 11381 | 0.5 |
Count or estimate quantities of materials, parts, or products received or shipped.O*NET Task ID 11382 | 0.5 |
Communicate with customers and vendors to exchange information regarding products, materials, and services.O*NET Task ID 11384 | 0.5 |
Inspect incoming loads of waste to identify contents and to screen for the presence of specific regulated or hazardous wastes.O*NET Task ID 11396 | 0.5 |
Inspect products and examination records to determine the number of defects per worker and the reasons for examiners' rejections.O*NET Task ID 11400 | 0.5 |
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