Will AI replace Payroll and Timekeeping Clerks?
AI reaches a large part of this job’s work.
47/100
High exposure
More exposed to AI than 74% of US workers.
- AI already used in
- 4% of the work
- As AI tools mature: up to
- 78% of the work
What the job involves
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.
Where AI reaches the work
The job’s main tasks, heaviest first, by how far AI reaches them.
Already happening(1)
- Provide information to employees and managers on payroll matters, tax issues, benefit plans, and collective agreement provisions.
Within reach(16)
- Keep track of leave time, such as vacation, personal, and sick leave, for employees.
- Record employee information, such as exemptions, transfers, and resignations, to maintain and update payroll records.
- Issue and record adjustments to pay related to previous errors or retroactive increases.
- Compute wages and deductions, and enter data into computers.
- Process and issue employee paychecks and statements of earnings and deductions.
and 11 more
Out of reach(4)
- Verify attendance, hours worked, and pay adjustments, and post information onto designated records.
- Review time sheets, work charts, wage computation, and other information to detect and reconcile payroll discrepancies.
- Distribute and collect timecards each pay period.
- Train employees on organizations' timekeeping systems.
Also called
Timekeeper · Payroll Assistant · Payroll Coordinator · Payroll Clerk · Payroll Specialist · Payroll Technician · Attendance Clerk · Bonus Clerk
Related jobs
What these numbers mean
The score is the share of this job’s work, weighted by how important and frequent each task is, that AI could do in half the time: tasks an AI model could do alone count in full, tasks that need software built on AI count half.
“AI already used” is the share of the work in tasks where people are recorded using AI today. “As AI tools mature” counts every task AI could halve, with or without extra software.
The percentile compares the score with every job’s, weighted by how many people in the US do each one. Exposure means AI could change how the work is done, not that the job goes away. These are estimates for the typical job, not predictions.
Sources
- O*NET 31.0 Database, U.S. Department of Labor, Employment and Training Administration
- GPTs are GPTs: Labor market impact potential of LLMs (task labels), Eloundou, Manning, Mishkin & Rock (2023), OpenAI and University of Pennsylvania
- Anthropic Economic Index: labor market impacts (task penetration), Anthropic
- Occupational Employment and Wage Statistics, May 2025 (national and metropolitan areas), U.S. Bureau of Labor Statistics