Air Cargo Coordinators
Transportation & Material MovingAI 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
0.017
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
Show 44 hidden tasks| Task | Claude.aiRaw / share % |
|---|---|
Inform clients of factors such as shipping options, timelines, transfers, or regulations affecting shipments.43-5011 | 0.010921.7 |
Prepare shipping documentation, such as including bills of lading, packing lists, dock receipts, or certificates of origin.43-5011 | 0.010120.0 |
Refer exporters to experts in areas such as trade financing, international marketing, government export requirements, international banking, or marine insurance.43-5011 | 0.008116.2 |
Check import or export documentation to determine cargo contents and use tariff coding system to classify goods according to fee or tariff group.43-5011 | 0.00377.4 |
Consider environmental sustainability factors when determining merchandise packing methods.43-5011 | 0.00367.2 |
Provide detailed port information to importers or exporters.43-5011 | 0.00295.7 |
Complete customs paperwork.43-5011 | 0.00265.1 |
Arrange for special transport of sensitive cargoes, such as livestock, food, or medical supplies.43-5011 | 0.00234.5 |
Assist clients in obtaining insurance reimbursements.43-5011 | 0.00234.5 |
Determine efficient and cost-effective methods of moving goods from one location to another.43-5011 | 0.00203.9 |
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 |
|---|---|
Calculate weight, volume, or cost of goods to be moved.O*NET Task ID 17686 | 1.0 |
Prepare shipping documentation, such as bills of lading, packing lists, dock receipts, or certificates of origin.O*NET Task ID 17687 | 1.0 |
Keep records of goods dispatched or received.O*NET Task ID 17690 | 1.0 |
Prepare invoices or cost quotations for freight transportation.O*NET Task ID 17696 | 1.0 |
Complete customs paperwork.O*NET Task ID 17701 | 1.0 |
Select shipment routes, based on nature of goods shipped, transit times, or security needs.O*NET Task ID 17680 | 0.5 |
Determine efficient and cost-effective methods of moving goods from one location to another.O*NET Task ID 17681 | 0.5 |
Reserve necessary space on ships, aircraft, trains, or trucks.O*NET Task ID 17682 | 0.5 |
Arrange delivery or storage of goods at destinations.O*NET Task ID 17683 | 0.5 |
Arrange for special transport of sensitive cargoes, such as livestock, food, or medical supplies.O*NET Task ID 17684 | 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