Couriers and Messengers

Office & Administrative Support

AI exposure

  • Data source: BLSPublished: 2026-08

    Moderate· relative

    LowFour relative bandsVery high

    Group-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

    Source dataset (XLSX download)

  • Data source: AnthropicPublished: 2026-03

    0.041

    0.000Range of values carried here0.745
    Scale, basis and source

    Observed exposure index, 0–1 as published

    Mapped onto O*NET tasks

    Source dataset

  • Data source: ILOPublished: 2025

    0.41

    0.09Range of values carried here0.70

    Group-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, 36% score at or above this value.

    Source dataset

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

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.

TaskβE1 + 0.5 × E2
Receive messages or materials to be delivered, and information on recipients, such as names, addresses, telephone numbers, and delivery instructions, communicated via telephone, two-way radio, or in person.

O*NET Task ID 7013

1.0
Record information, such as items received and delivered and recipients' responses to messages.

O*NET Task ID 7018

1.0
Check with home offices after completed deliveries to confirm deliveries and collections and to receive instructions for other deliveries.

O*NET Task ID 7019

1.0
Use telephone to deliver verbal messages.

O*NET Task ID 7021

1.0
Plan and follow the most efficient routes for delivering goods.

O*NET Task ID 7014

0.5
Sort items to be delivered according to the delivery route.

O*NET Task ID 7016

0.5
Walk, ride bicycles, drive vehicles, or use public conveyances to reach destinations to deliver messages or materials.

O*NET Task ID 7010

0.0
Load vehicles with listed goods, ensuring goods are loaded correctly and taking precautions with hazardous goods.

O*NET Task ID 7011

0.0
Unload and sort items collected along delivery routes.

O*NET Task ID 7012

0.0
Deliver messages and items, such as newspapers, documents, and packages, between establishment departments and to other establishments and private homes.

O*NET Task ID 7015

0.0
Obtain signatures and payments, or arrange for recipients to make payments.

O*NET Task ID 7017

0.0
Perform routine maintenance on delivery vehicles, such as monitoring fluid levels and replenishing fuel.

O*NET Task ID 7020

0.0
Open, sort, and distribute incoming mail.

O*NET Task ID 7022

0.0
Perform general office or clerical work, such as filing materials, operating duplicating machines, or running errands.

O*NET Task ID 7023

0.0
Collect, seal, and stamp outgoing mail, using postage meters and envelope sealers.

O*NET Task ID 7024

0.0
Unload goods from large trucks, and load them onto smaller delivery vehicles.

O*NET Task ID 7025

0.0
Deliver and pick up medical records, lab specimens, and medications to and from hospitals and other medical facilities.

O*NET Task ID 20903

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®, Eloundou et al. (2023): see full notices on the Credits page

Occupation information