# Will tellers be replaced by AI? Updated October 2026 Tellers score 53 of 100 for AI exposure. The largest share of their task time, 48%, is work AI speeds up while they stay in charge. AI can take over 35% outright, and 17% stays with people. - **35%** AI can do it - **48%** AI helps - **17%** Needs a person High exposure Higher than 81% of the 923 occupations we scored. ## Task by task We graded 28 tasks, listed here from most to least exposed. AI can do 12 of them today, speeds up 12 and leaves 4 to people. | Task | AI exposure | | --- | --- | | Compute financial fees, interest, and service charges. Fee, interest, and service charge calculation is pure computation. | 85% AI can do it | | Quote unit exchange rates, following daily international rate sheets or computer displays. Exchange rate quotes are lookups from rate sheets or displays. | 78% AI can do it | | Compose, type, and mail customer statements and other correspondence related to issues such as discrepancies and outstanding unpaid items. Drafting customer statements and letters is routine writing AI does well. | 72% AI can do it | | Perform clerical tasks, such as typing, filing, and microfilm photography. Typing and filing are digital clerical work AI handles well. | 70% AI can do it | | Enter customers' transactions into computers to record transactions and issue computer-generated receipts. Routine digital transaction entry, largely handled by software. | 68% AI can do it | [See what AI can take on across a customer service team](https://www.aigentcy.com/ai-for/customer-service/) ## How tellers compare All occupations (923) Office and administrative support (51) **Tellers score 53**, 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 57 for office and administrative support. ## Pay and outlook in the US Median pay $43,030 a year, May 2025 People employed 329,480 in the US, May 2025 Projected change in jobs \-13.2% from 2024 to 2034 ## Skills to build - Count currency and checks on a currency-counting machine - Post armored car deposits in Microsoft Dynamics - Balance teller drawers and reconcile differences in Microsoft Excel - Write discrepancy letters to customers in Microsoft Word - Handle vault cash balances and security checks in person - Arrange cash by denomination in boxes and coin dispensers ## Safer roles nearby 4 related occupations with lower scores. - [Cashiers43 out of 100](https://www.aigentcy.com/ai-exposure/cashiers/) - [Casino cashiers31 out of 100](https://www.aigentcy.com/ai-exposure/casino-cashiers/) - [Financial managers49 out of 100](https://www.aigentcy.com/ai-exposure/financial-managers/) - [Gambling cage workers40 out of 100](https://www.aigentcy.com/ai-exposure/gambling-cage-workers/) ## Questions about tellers and AI Will AI replace tellers? Partly. About 5 in 10 working hours go to tasks AI can already do, mostly fee, interest, and service charge calculation and exchange rate quotes. Cash handling stays with tellers because counting currency, checks, and vault balances needs a person physically present. Which teller tasks is AI taking over? Fee, interest, and service charge calculation scores 85 on exposure, the highest of any teller task, because it is pure computation. Exchange rate quotes score 78 since they are lookups from rate sheets or displays. Customer statements and correspondence score 72 because routine drafting is writing AI does well. Which teller tasks stay human? Arranging cash by denomination scores 5 on exposure, and receiving and counting cash, drafts, and travelers checks scores 12. Vault monitoring scores 15 because it needs physical presence and security accountability. These tasks stay with tellers since they involve handling physical money. How can tellers stay valuable? Learn to post armored car deposits in Microsoft Dynamics and check them against counts. Build balance checks in Microsoft Excel so drawer errors get caught early. Use Microsoft Outlook and Word to write clear discrepancy letters that customers can act on. Keep hand and machine cash counting skills sharp. ## Related jobs - [Bookkeepers67 out of 100](https://www.aigentcy.com/ai-exposure/bookkeepers/) - [Stockbrokers64 out of 100](https://www.aigentcy.com/ai-exposure/stockbrokers/) - [Bill collectors65 out of 100](https://www.aigentcy.com/ai-exposure/bill-collectors/) - [Billing clerks59 out of 100](https://www.aigentcy.com/ai-exposure/billing-clerks/) ## Next steps for tellers - ### 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.