Payroll and Timekeeping Clerks
Overall Exposure
2025 vs 2023
Theoretical Exposure
89What AI could do
Observed Exposure
47What AI actually does
Automation Risk Score
58Displacement risk
3-Year Outlook (2025 โ 2028)
Projected changes in AI automation metrics over the next 3 years based on estimated data.
Overall Exposure
2025 โ 2028 (estimated)
Theoretical Exposure
2025 โ 2028 (estimated)
Observed Exposure
2025 โ 2028 (estimated)
Automation Risk
2025 โ 2028 (estimated)
Exposure Metrics (2023 - 2028)
Detailed Metrics Table
| Year | Overall | Theoretical | Observed | Risk | Data Type |
|---|---|---|---|---|---|
| 2024 | 62 | 86 | 40 | 52 | actual |
| 2025 | 68 | 89 | 47 | 58 | estimated |
| 2026 | 73 | 91 | 53 | 63 | estimated |
| 2027 | 77 | 93 | 59 | 67 | estimated |
| 2028 | 81 | 95 | 64 | 71 | estimated |
Task Breakdown
About This Occupation
If you work as a Payroll and Timekeeping Clerks, AI is transforming your role. Risk 58/100, exposure 68%.
Frequently Asked Questions
With an automation risk score of 58%, Payroll and Timekeeping Clerks faces a moderate level of AI-driven change. Some tasks can be automated, but many require human judgment, creativity, or interpersonal skills that AI cannot yet replicate. The role is more likely to evolve alongside AI than be replaced.
The AI automation risk score for Payroll and Timekeeping Clerks is 58% (2025 data). Overall AI exposure is 68%, with 89% theoretical exposure and 47% observed exposure. The risk trend from 2023 to 2025 is 0 points.
The tasks with the highest automation potential for Payroll and Timekeeping Clerks are: Process payroll calculations (82%), Generate payroll reports (78%), Maintain attendance records (75%). These rates reflect how much of each task current AI systems can handle, based on research data from Anthropic and academic sources.
The BLS projects -15% employment change for Payroll and Timekeeping Clerks from 2024 to 2034. Combined with an overall AI exposure of 68%, this occupation is experiencing both traditional labor market shifts and AI-driven transformation. Workers should monitor both employment trends and AI capability growth.
Since AI primarily automates tasks in this role, professionals in Payroll and Timekeeping Clerks should focus on developing skills that complement AI rather than compete with it. Consider learning AI tool management, shifting toward supervisory and quality-control tasks, and building expertise in areas where human judgment remains essential.