Will AI replace Payroll and Timekeeping Clerks?
Estimated risk score: 92 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 (73 to 100).
For the occupation as a whole, from ratings of its 22 O*NET tasks published in 2023 and calibrated to our hand scores. A specialty inside it can sit higher or lower.
O*NET-SOC 43-3051.00 · 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: 21 of its 22 rated tasks; the first 6 are shown. In O*NET’s words.
- Complete time sheets showing employees' arrival and departure times.
- Compile employee time, production, and payroll data from time sheets and other records.
- Compute wages and deductions, and enter data into computers.
- Distribute and collect timecards each pay period.
- Issue and record adjustments to pay related to previous errors or retroactive increases.
- Keep track of leave time, such as vacation, personal, and sick leave, for employees.
Tasks rated in 2023 as not sped up by AI
Tasks such a model was rated as not speeding up or taking over: 0 of its 22 rated tasks. In O*NET’s words.
None of its rated tasks.
What the job is
Compile and record employee time and payroll data. May compute employees' time worked, production, and commission. May compute and post wages and deductions, or prepare paychecks.
Also called: Payroll Clerk, Payroll Assistant, Payroll Coordinator, Checkman, Time Clerk, Timekeeper, Bonus Clerk, Time Checker.
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