# Will AI replace cashiers? Updated October 2026 Cashiers score 43 of 100 for AI exposure. 42% of their task time still needs a person. AI can do 28% today and speed up another 30%. - **28%** AI can do it - **30%** AI helps - **42%** Needs a person Moderate exposure Higher than 58% of the 923 occupations we scored. ## Task by task We graded 28 tasks, listed here from most to least exposed. AI can do 8 of them today, speeds up 8 and leaves 12 to people. | Task | AI exposure | | --- | --- | | Compute and record totals of transactions. Totaling transactions is routine arithmetic that software handles well. | 80% AI can do it | | Calculate total payments received during a time period, and reconcile this with total sales. Reconciling totals against sales is routine digital arithmetic. | 75% AI can do it | | Keep periodic balance sheets of amounts and numbers of transactions. Periodic balance sheets are routine digital record keeping. | 75% AI can do it | | Answer customers' questions, and provide information on procedures or policies. LLM assistants can answer policy questions from store documents. | 70% AI can do it | | Post charges against guests' or patients' accounts. Posting charges to accounts is routine data entry in software. | 70% AI can do it | [See what AI can take on across a sales team](https://www.aigentcy.com/ai-for/sales/) ## How cashiers compare All occupations (923) Sales and related (22) **Cashiers score 43**, marked by the dark line. Each dot is a score, darker where more occupations share it. The short marks show the averages, 37 for all occupations and 54 for sales and related. ## Pay and outlook in the US Median pay $32,880 a year, May 2025 People employed 3.1 million in the US, May 2025 Projected change in jobs \-6.5% from 2024 to 2034 ## Skills to build - Count and wrap currency at the cash drawer - Reconcile daily tender totals in Microsoft Excel - Post shift tender totals in bookkeeping software - Process card transactions and validate checks at the register - Use Handheld computer device software on the sales floor ## Safer roles nearby 5 related occupations with lower scores. - [Casino cashiers31 out of 100](https://www.aigentcy.com/ai-exposure/casino-cashiers/) - [Postal service clerks38 out of 100](https://www.aigentcy.com/ai-exposure/postal-service-clerks/) - [Pharmacy aides37 out of 100](https://www.aigentcy.com/ai-exposure/pharmacy-aides/) - [Gambling cage workers40 out of 100](https://www.aigentcy.com/ai-exposure/gambling-cage-workers/) - [Stockers30 out of 100](https://www.aigentcy.com/ai-exposure/stockers/) ## Questions about cashiers and AI Will cashiers be replaced by AI? Partly. About 3 in 10 working hours go to tasks AI can already do, mostly totaling transactions and reconciling payments with sales. Greeting customers, bagging purchases and handling physical cash stay with people because they need someone at the register. Which cashier tasks is AI taking over? Totaling transactions scores 80 on exposure, the highest of any cashier task, because software handles routine arithmetic well. Reconciling payments with sales scores 75 and posting charges to accounts scores 70, since both are routine digital matching and entry. Which cashier tasks stay human? Greeting customers scores 3 on exposure because it needs physical presence. Bagging and gift wrapping score 4, and sorting and wrapping currency scores 5, since all three are hands-on handling that keeps a person at the register. How can cashiers stay valuable? Work the cash drawer count and deposit in Microsoft Excel, since gaps between tender and sales need a person to explain them. Post shift totals in bookkeeping software and flag mismatches to a manager. Build strength in carry-out, fitting room checks and card dispute handling, which stay human. ## Related jobs - [Rental clerks57 out of 100](https://www.aigentcy.com/ai-exposure/rental-clerks/) - [Tellers53 out of 100](https://www.aigentcy.com/ai-exposure/tellers/) - [Customer service representatives74 out of 100](https://www.aigentcy.com/ai-exposure/customer-service-representatives/) - [Retail salespeople48 out of 100](https://www.aigentcy.com/ai-exposure/retail-salespeople/) ## Next steps for cashiers - ### Check your job Your job title is a rough guide. Your actual tasks decide your score. Paste your job description or CV and see which of your tasks AI can do. [Check your job](https://www.aigentcy.com/tools/ai-exposure-checker/) [Check your CV](https://www.aigentcy.com/tools/cv-checker/) ### Check which roles in your team AI can take on We map your team's tasks, show what AI can do today and build the automations that pay back first. [Book an AI audit](https://www.aigentcy.com/audit/) ## Related topics - [**Jobs AI can't replace**Cement masons score lowest, at 8.](https://www.aigentcy.com/ai-exposure/jobs-ai-cant-replace/) - [**Jobs most at risk from AI**Proofreaders score highest, at 76.](https://www.aigentcy.com/ai-exposure/jobs-most-exposed-to-ai/) - [**High-paying jobs with low AI exposure**Radiologists earn a median $420,860 and score 46.](https://www.aigentcy.com/ai-exposure/high-paying-jobs-low-ai-exposure/) - [**Entry-level jobs with low AI exposure**Cement masons need little prior training and score 8.](https://www.aigentcy.com/ai-exposure/entry-level-jobs-low-ai-exposure/) - [**Jobs AI speeds up the most**For natural sciences managers, AI speeds up 96% of task time.](https://www.aigentcy.com/ai-exposure/jobs-ai-speeds-up/) - [**AI and jobs in Malta**15 iGaming roles graded task by task.](https://www.aigentcy.com/ai-exposure/malta/) - [**Skills that keep work human**The skills to build in the jobs AI changes least.](https://www.aigentcy.com/ai-exposure/skills/) - [**Jobs A to Z**Every job we publish, by first letter.](https://www.aigentcy.com/ai-exposure/jobs/) - [**AI exposure by industry**Average scores for 22 occupation groups.](https://www.aigentcy.com/ai-exposure/industries/) - [**Write a CV screening software can read**How applicant tracking systems read a CV, and what to change.](https://www.aigentcy.com/ai-exposure/cv-screening-guide/) - [**AI for businesses**The tasks to automate first in each team and industry.](https://www.aigentcy.com/ai-for/) - [**How we score AI exposure**The grading, the weights and every source.](https://www.aigentcy.com/ai-exposure/methodology/) Occupation data from the O\*NET 30.3 Database by the U.S. Department of Labor, Employment and Training Administration (USDOL/ETA), used under [CC BY 4.0](https://creativecommons.org/licenses/by/4.0/) and modified by Aigentcy. O\*NET® is a trademark of USDOL/ETA. Wage, employment and projection data from the U.S. Bureau of Labor Statistics. EU occupation names from ESCO, European Commission. AI usage signals from the Anthropic Economic Index (CC BY) and Microsoft Research (CC BY 4.0). [Methodology and sources](https://www.aigentcy.com/ai-exposure/methodology/). Scores © Aigentcy. Quote them with a link to the page.