Will AI replace Tellers?
Estimated risk score: 89 out of 100
Very high replacement risk
Estimate from published task research, not reviewed by a person · how we estimate
Within about 19 points for 4 in 5 of the jobs we checked (70 to 100).
Low confidence: the research disagrees with itself about this job (its tasks look automatable on paper but are rated as not sped up by AI).
For the occupation as a whole, from ratings of its 29 O*NET tasks published in 2023 and calibrated to our hand scores. A specialty inside it can sit higher or lower.
O*NET-SOC 43-3071.00 · Office and Administrative Support
Tasks rated in 2023 as ones AI could do or speed up
Tasks a GPT-4-class model could do, or do in half the time or less: 27 of its 29 rated tasks; the first 6 are shown. In O*NET’s words.
- Compute financial fees, interest, and service charges.
- Quote unit exchange rates, following daily international rate sheets or computer displays.
- Sort and file deposit slips and checks.
- Answer telephones and assist customers with their questions.
- Balance currency, coin, and checks in cash drawers at ends of shifts and calculate daily transactions, using computers, calculators, or adding machines.
- Enter customers' transactions into computers to record transactions and issue computer-generated receipts.
Tasks rated in 2023 as not sped up by AI
Tasks such a model was rated as not speeding up or taking over: 1 of its 29 rated tasks. In O*NET’s words.
- Arrange monies received in cash boxes and coin dispensers according to denomination.
What the job is
Receive and pay out money. Keep records of money and negotiable instruments involved in a financial institution's various transactions.
Also called: Bank Teller, Member Services Representative, Financial Services Representative (FSR), FSR, Loan Teller, Mail Teller, Note Teller, Vault Teller.
Closest jobs we score by hand
In the same field (Office and Administrative Support). Different jobs, each scored by a person.
Source. This site includes information from the O*NET 30.1 Database by the U.S. Department of Labor, Employment and Training Administration (USDOL/ETA). Used under the CC BY 4.0 license. O*NET® is a trademark of USDOL/ETA. USDOL/ETA has not approved, endorsed, or tested these modifications. (O*NET, CC BY 4.0.) Task ratings: Eloundou, Manning, Mishkin and Rock (2023), “GPTs are GPTs: An Early Look at the Labor Market Impact Potential of Large Language Models”, data used under the MIT licence (licence texts). Our change: we averaged the ratings over this occupation’s tasks and calibrated them to our 0–100 scale. It is not a prediction about any one person and not career advice. Disagree? Write to hello@yourstopwashit.com. How we estimate