Cashiers

Sales & Marketing

AI exposure

  • Data source: BLSPublished: 2026-08

    High· 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

    0.085

    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

    0.39

    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, 44% 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
TaskClaude.aiRaw / share %APIRaw / share %
Answer customers' questions, and provide information on procedures or policies.

41-2011

0.525281.90.230777.1
Assist customers by providing information and resolving their complaints.

41-2011

0.072211.30.02006.7
Greet customers entering establishments.

41-2011

0.02513.90.02498.3
Receive payment by cash, check, credit cards, vouchers, or automatic debits.

41-2011

0.01031.60.02357.8
Compute and record totals of transactions.

41-2011

0.00851.3—0
Not observed on any surface — 22 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.
Issue receipts, refunds, credits, or change due to customers.
—0—0
Establish or identify prices of goods, services or admission, and tabulate bills using calculators, cash registers, or optical price scanners.
—0—0
Sell tickets and other items to customers.
—0—0
Process merchandise returns and exchanges.
—0—0
Request information or assistance using paging systems.
—0—0
Stock shelves, and mark prices on shelves and items.
—0—0
Maintain clean and orderly checkout areas and complete other general cleaning duties, such as mopping floors and emptying trash cans.
—0—0
Count money in cash drawers at the beginning of shifts to ensure that amounts are correct and that there is adequate change.
—0—0
Issue trading stamps and redeem food stamps and coupons.
—0—0
Cash checks for customers.
—0—0
Weigh items sold by weight to determine prices.
—0—0
Calculate total payments received during a time period, and reconcile this with total sales.
—0—0
Keep periodic balance sheets of amounts and numbers of transactions.
—0—0
Bag, box, wrap, or gift-wrap merchandise, and prepare packages for shipment.
—0—0
Sort, count, and wrap currency and coins.
—0—0
Pay company bills by cash, vouchers, or checks.
—0—0
Compile and maintain non-monetary reports and records.
—0—0
Monitor checkout stations to ensure that they have adequate cash available and that they are staffed appropriately.
—0—0
Post charges against guests' or patients' accounts.
—0—0
Offer customers carry-out service at the completion of transactions.
—0—0
Assist with duties in other areas of the store, such as monitoring fitting rooms or bagging and carrying out customers' items.
—0—0
Supervise others and provide on-the-job training.
—0—0

Data sources & licenses — O*NET®, Anthropic Economic Index, Eloundou et al. (2023): see full notices on the Credits page

Occupation information