AI exposure by occupation, O*NET 41-2011.00
Will AI replace Cashiers?
Cashiers: AI can already handle 8 of 28 tasks; the work mostly needs an efficient-tier model.
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Every task, scored
The 28 tasks O*NET 30.3 lists for Cashiers, from most to least exposed. 8 reach 60 or more, the level at which AI already handles a task.
| Task | AI exposure | Evidence | Model tier |
|---|---|---|---|
| Answer customers' questions, and provide information on procedures or policies. | Observed | Efficient | |
| Establish or identify prices of goods, services, or admission, and tabulate bills, using calculators, cash registers, or optical price scanners. | Estimated | Frontier | |
| Sort, count, and wrap currency and coins. | Estimated | Efficient | |
| Stock shelves, sort and reshelve returned items, and mark prices on items and shelves. | Estimated | Efficient | |
| Assist customers by providing information and resolving their complaints. | Observed | Frontier | |
| Calculate total payments received during a time period, and reconcile this with total sales. | Estimated | Efficient | |
| Compile and maintain non-monetary reports and records. | Estimated | Efficient | |
| Help customers find the location of products. | Observed | Frontier | |
| Supervise others and provide on-the-job training. | Estimated | Efficient | |
| Receive payment by cash, check, credit cards, vouchers, or automatic debits. | Estimated | Efficient | |
| Greet customers entering establishments. | Estimated | Efficient | |
| Issue receipts, refunds, credits, or change due to customers. | Estimated | Efficient | |
| Count money in cash drawers at the beginning of shifts to ensure that amounts are correct and that there is adequate change. | Estimated | Efficient | |
| Issue trading stamps, and redeem food stamps and coupons. | Estimated | Efficient | |
| Monitor checkout stations to ensure they have adequate cash available and are staffed appropriately. | Estimated | Efficient | |
| Post charges against guests' or patients' accounts. | Estimated | Efficient | |
| Weigh items sold by weight to determine prices. | Estimated | Efficient | |
| Compute and record totals of transactions. | Estimated | Standard | |
| Answer incoming phone calls. | Estimated | Efficient | |
| Keep periodic balance sheets of amounts and numbers of transactions. | Estimated | Efficient | |
| Request information or assistance, using paging systems. | Estimated | Efficient | |
| Sell tickets and other items to customers. | Estimated | Standard | |
| Bag, box, wrap, or gift-wrap merchandise, and prepare packages for shipment. | Estimated | Efficient | |
| Cash checks for customers. | Estimated | Efficient | |
| Process merchandise returns and exchanges. | Estimated | Efficient | |
| Maintain clean and orderly checkout areas, and complete other general cleaning duties, such as mopping floors and emptying trash cans. | Estimated | No tier | |
| Assist with duties in other areas of the store, such as monitoring fitting rooms or bagging and carrying out customers' items. | Estimated | No tier | |
| Offer customers carry-out service at the completion of transactions. | Estimated | No tier |
Observed: scored from AI use recorded in the Anthropic Economic Index (June 2026 release), 3 of 28 tasks. Estimated: scored from the task's O*NET 30.3 work activity, 25 of 28. Importance is O*NET's 1 to 5 rating of how central the task is. Model tier is the lowest tier that can do the task under the published rubric; "No tier" marks hands-on work.
The model tier this role needs
An efficient-tier model or lower covers 72% of the role's importance-weighted task work. 90% of the work is something AI can address at some tier, and 10% is hands-on.
Efficient, standard and frontier tiers come from the JobRoute model tier reference. The recommended tier is the lowest one that covers 80% of the work AI can address. How the method works.
Wages, employment and outlook
- US employment
- 3,089,410
- Median annual wage
- $32,880
- Middle half of earners
- $28,720 to $36,330
- Projected change, 2024 to 2034
- -9.9%
Employment and wages: BLS Occupational Employment and Wage Statistics, May 2025, national. Projection: BLS Employment Projections 2024 to 2034.
Adjacent roles
The occupations that reuse the most of this role's skills, with the usual time to move. These are the first places to look when you plan to redeploy or retrain people in this role.
- Gambling Change Persons and Booth Cashiers 71% skill overlap, about 10 months to move Exposure72
- Tellers 68% skill overlap, about 11 months to move Exposure49
- Gambling Cage Workers 65% skill overlap, about 13 months to move Exposure66
- Fast Food and Counter Workers 64% skill overlap, about 13 months to move Exposure17
- Counter and Rental Clerks 64% skill overlap, about 13 months to move Exposure36
Skill overlap and transition time from the JobRoute role adjacency graph on O*NET 30.3 skills.
Questions about Cashiers and AI
Will AI replace Cashiers?
AI already handles 8 of the 28 tasks O*NET lists for this occupation, at a task exposure of 60 or more, and the role's importance-weighted exposure is 44 out of 100. JobRoute scores tasks, not whole jobs, so the score shows how much of the work changes rather than whether the job disappears. BLS projects employment to change by -9.9% from 2024 to 2034.
What is the AI exposure of Cashiers?
44 out of 100 on JobRoute's task exposure measure, the importance-weighted average of the role's O*NET task scores. Higher means more of the work is AI-doable today. 3 of the 28 task scores are observed in the Anthropic Economic Index (June 2026 release), and the other 25 are estimated from each task's O*NET work activity.
Which Cashiers tasks can AI already do?
The tasks with the highest exposure are: Answer customers' questions, and provide information on procedures or policies; Establish or identify prices of goods, services, or admission, and tabulate bills, using calculators, cash registers, or optical price scanners; Sort, count, and wrap currency and coins. They are three of the 8 tasks that reach 60 or more.
What AI model tier does this role need?
An efficient-tier model or lower covers 72% of the role's importance-weighted task work. JobRoute assigns each task the lowest tier that can do it under a published rubric and recommends the lowest tier that covers 80% of the work AI can address.
How many people work as Cashiers, and what do they earn?
3,089,410 people in the United States, with a median annual wage of $32,880 (BLS Occupational Employment and Wage Statistics, May 2025). BLS Employment Projections expect a change of -9.9% from 2024 to 2034.
How to cite
Data version 2026-11-02, JobRoute method v1.0.0. Download all occupations or this occupation as JSON. Methodology.
JobRoute (2026). AI exposure: Cashiers. Data version 2026-11-02, method v1.0.0. Built on O*NET 30.3, BLS OEWS May 2025 and the Anthropic Economic Index (June 2026). CC BY 4.0. https://www.jobroute.ai/jobs/cashiers
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