Stockers and Order Fillers
Transportation & Material MovingAI 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 35 hidden tasks| Task | Claude.aiRaw / share % | APIRaw / share % |
|---|---|---|
Answer customers' questions about merchandise and advise customers on merchandise selection.43-5081 | 0.028570.2 | 0.038685.2 |
Advise retail customers or internal users on the appropriateness of parts, supplies, or materials requested.43-5081 | 0.005613.8 | 0.00275.9 |
Provide assistance or direction to other stockroom, warehouse, or storage yard workers.43-5081 | 0.00266.4 | 0.00224.8 |
Design and set up advertising signs and displays of merchandise on shelves, counters, or tables to attract customers and promote sales.43-5081 | 0.00215.2 | —0 |
Compute prices of items or groups of items.43-5081 | 0.00184.4 | —0 |
Prepare and maintain records and reports of inventories, price lists, shortages, shipments, expenditures, and goods used or issued. | —0 | 0.00194.1 |
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 |
|---|---|
Complete order receipts.O*NET Task ID 23871 | 1.0 |
Keep records on the use or damage of stock or stock-handling equipment.O*NET Task ID 23894 | 1.0 |
Keep records of out-going orders.O*NET Task ID 23895 | 1.0 |
Read orders to ascertain catalog numbers, sizes, colors, and quantities of merchandise.O*NET Task ID 23873 | 0.5 |
Compare merchandise invoices to items actually received to ensure that shipments are correct.O*NET Task ID 23881 | 0.5 |
Take inventory or examine merchandise to identify items to be reordered or replenished.O*NET Task ID 23885 | 0.5 |
Design and set up advertising signs and displays of merchandise on shelves, counters, or tables to attract customers and promote sales.O*NET Task ID 23889 | 0.5 |
Requisition merchandise from supplier, based on available space, merchandise on hand, customer demand, or advertised specials.O*NET Task ID 23897 | 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®, Anthropic Economic Index, Eloundou et al. (2023): see full notices on the Credits page