Will AI replace cashiers?
Unlikely. Most of the work is hard for today's AI to speed up. Cashiers score 21 out of 100 (moderate exposure), #629 of 923 US jobs. AI could speed up 9 of the job's 29 tasks, 5 of them on its own, while 20 see little or no speed-up. Exposure means the work is likely to change, not that the job will disappear.
Which cashiers tasks can AI do?
The most exposed tasks include "Answer incoming phone calls"; "Calculate total payments received during a time period, and reconcile this with total sales"; "Keep periodic balance sheets of amounts and numbers of transactions".
Which cashiers tasks are hardest for AI?
Tasks with little or no AI speed-up include "Receive payment by cash, check, credit cards, vouchers, or automatic debits"; "Help customers find the location of products"; "Issue receipts, refunds, credits, or change due to customers".
Are people already using AI for this work?
Yes. In April–May 2026, 8 of the 29 tasks showed up in real conversations with Claude, according to the Anthropic Economic Index.
How many people work as cashiers, and what do they earn?
About 3,089,410 people in the US, with median pay of $32,880 a year (BLS, May 2025).