Production 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
0.093
0.000Range of values carried here0.745Scale, basis and source
- Data source: ILOPublished: 2025
0.44
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, 28% 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 % |
|---|---|
Calculate figures, such as required amounts of labor or materials, manufacturing costs, or wages, using pricing schedules, adding machines, calculators, or computers.43-5061 | 0.037969.5 |
Examine documents, materials, or products and monitor work processes to assess completeness, accuracy, and conformance to standards and specifications.43-5061 | 0.007213.1 |
Compile and prepare documentation related to production sequences, transportation, personnel schedules, or purchase, maintenance, or repair orders.43-5061 | 0.00478.6 |
Confer with establishment personnel, vendors, or customers to coordinate production or shipping activities and to resolve complaints or eliminate delays.43-5061 | 0.00275.0 |
Provide documentation and information to account for delays, difficulties, or changes to cost estimates.43-5061 | 0.00213.8 |
| Not observed on any surface — 12 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. | |
Review documents, such as production schedules, work orders, or staffing tables, to determine personnel or materials requirements or material priorities. | —0 |
Confer with department supervisors or other personnel to assess progress and discuss needed changes. | —0 |
Revise production schedules when required due to design changes, labor or material shortages, backlogs, or other interruptions, collaborating with management, marketing, sales, production, or engineering. | —0 |
Record production data, including volume produced, consumption of raw materials, or quality control measures. | —0 |
Requisition and maintain inventories of materials or supplies necessary to meet production demands. | —0 |
Distribute production schedules or work orders to departments. | —0 |
Compile information, such as production rates and progress, materials inventories, materials used, or customer information, so that status reports can be completed. | —0 |
Arrange for delivery, assembly, or distribution of supplies or parts to expedite flow of materials and meet production schedules. | —0 |
Maintain files, such as maintenance records, bills of lading, or cost reports. | —0 |
Contact suppliers to verify shipment details. | —0 |
Plan production commitments or timetables for business units, specific programs, or jobs, using sales forecasts. | —0 |
Establish and prepare product construction directions and locations and information on required tools, materials, equipment, numbers of workers needed, and cost projections. | —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 |
|---|---|
Review documents, such as production schedules, work orders, or staffing tables, to determine personnel or materials requirements or material priorities.O*NET Task ID 11363 | 1.0 |
Calculate figures, such as required amounts of labor or materials, manufacturing costs, or wages, using pricing schedules, adding machines, calculators, or computers.O*NET Task ID 11369 | 1.0 |
Distribute production schedules or work orders to departments.O*NET Task ID 11370 | 1.0 |
Maintain files, such as maintenance records, bills of lading, or cost reports.O*NET Task ID 11374 | 1.0 |
Provide documentation and information to account for delays, difficulties, or changes to cost estimates.O*NET Task ID 11378 | 1.0 |
Examine documents, materials, or products and monitor work processes to assess completeness, accuracy, and conformance to standards and specifications.O*NET Task ID 11362 | 0.5 |
Revise production schedules when required due to design changes, labor or material shortages, backlogs, or other interruptions, collaborating with management, marketing, sales, production, or engineering.O*NET Task ID 11365 | 0.5 |
Confer with establishment personnel, vendors, or customers to coordinate production or shipping activities and to resolve complaints or eliminate delays.O*NET Task ID 11366 | 0.5 |
Record production data, including volume produced, consumption of raw materials, or quality control measures.O*NET Task ID 11367 | 0.5 |
Requisition and maintain inventories of materials or supplies necessary to meet production demands.O*NET Task ID 11368 | 0.5 |
Confer with department supervisors or other personnel to assess progress and discuss needed changes.O*NET Task ID 11364 | 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