As of June 2026, Bank Teller has an AI-exposure score of 76/100 (Very High exposure) on the AI-Safe Careers index, blending O*NET tasks, the Anthropic Economic Index, the Penn/OpenAI study, and BLS data. This is an estimate of task exposure, not a prediction of job loss.
Bank Teller
More exposed than 96% of the roles we track. Median pay ~US$38,000.
Pay & demand figures are US medians (BLS, in USD) — your local figures will differ. Your exposure score applies broadly.
How this role compares to similar Finance roles
What this role usually involves
Receive and pay out money. Keep records of money and negotiable instruments involved in a financial institution's various transactions.
Source: O*NET 29.1 title match - Tellers, SOC 43-3071.00. Context describes the role; the AI-exposure score remains a separate task-exposure estimate.
Bank Teller tasks, by AI exposure
- Enter customers' transactions into computers to record transactions and issue computer-generated receipts.
- Sort and file deposit slips and checks.
- Balance currency, coin, and checks in cash drawers at ends of shifts and calculate daily transactions, using computers, calculators, or adding machines.
- Refer customers to specialists
No durable tasks identified for this role — its real, individually-assessed tasks consistently read as automatable (95%).
We analyzed all 20 Bank Teller tasks — 19 automatable and 1 augmentable. The full task map — every task with exactly what to do about each — is in your Career Report.
Your report unlocks three concrete artifacts
Every task scored with what to automate, augment, or protect.
5-10 adjacent roles with salary, demand, and reachability.
A keepable roadmap plus resume and LinkedIn repositioning.
Grounded in O*NET + the Anthropic Economic Index + BLS — not generic ChatGPT advice.
Safer adjacent roles
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Your AI-Safe Career Report
Every task scored with what to do about it · 5–10 safer roles with salary, demand & reachability · skill-gap map · a 30/60/90-day roadmap · plus a résumé & LinkedIn rewrite · PDF.
Grounded in O*NET + the Anthropic Economic Index + BLS — personalized to your role.
AI was the most-cited reason for U.S. layoffs through mid-2026 — the workers who adapt earliest fare best. — Challenger, Gray & Christmas, 2026The upside: Workers with AI skills earn a roughly 62% wage premium — adapting pays. — PwC Global AI Jobs Barometer, 2026
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