Last Update: 11/21/2025
Your role’s AI Resilience Score is
Median Score
Changing Fast
Evolving
Stable
What does this resilience result mean?
These roles are shifting as AI becomes part of everyday workflows. Expect new responsibilities and new opportunities.
AI Resilience Report for
They make sure employees get paid correctly by tracking hours worked and preparing paychecks on time.
Summary
The career of Payroll and Timekeeping Clerks is labeled as "Evolving" because AI is starting to handle more routine tasks like calculating wages and cutting paychecks, making these processes faster and more accurate. However, human oversight is still essential for handling unique situations, like reviewing timesheets or fixing unusual errors, because these require judgment and understanding of specific company rules.
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Learn more about how you can thrive in this position
Summary
The career of Payroll and Timekeeping Clerks is labeled as "Evolving" because AI is starting to handle more routine tasks like calculating wages and cutting paychecks, making these processes faster and more accurate. However, human oversight is still essential for handling unique situations, like reviewing timesheets or fixing unusual errors, because these require judgment and understanding of specific company rules.
Read full analysisContributing Sources
AI Resilience
All scores are converted into percentiles showing where this career ranks among U.S. careers. For models that measure impact or risk, we flip the percentile (subtract it from 100) to derive resilience.
CareerVillage.org's AI Resilience Analysis
AI Task Resilience
Microsoft's Working with AI
AI Applicability
Anthropic's Economic Index
AI Resilience
Will Robots Take My Job
Automation Resilience
Medium Demand
We use BLS employment projections to complement the AI-focused assessments from other sources.
Learn about this scoreGrowth Rate (2024-34):
Growth Percentile:
Annual Openings:
Annual Openings Pct:
Analysis of Current AI Resilience
Payroll & Timekeeping Clerks
Updated Quarterly • Last Update: 11/22/2025

State of Automation & Augmentation
Many payroll tasks today already run on computers. For example, tasks like computing wages, deductions, and issuing paychecks are done by payroll software [1]. O*NET even flags these as core duties and notes the job is already “highly automated” (about 14% of tasks done by machines) [1].
In practice, that means a Payroll Clerk often uses systems (like cloud payroll services) that automatically do the math and cut paychecks, so people mainly check for errors. New AI tools are beginning to layer on top of this: one tech report notes companies using AI in payroll saw “substantial reductions in processing time [and] error rates” [2]. Experts expect more AI help soon – for instance, a payroll industry panel predicts ~50% of organizations will use some AI by 2025 to move payroll from routine work toward analysis and planning [3].
On the other hand, I found few specific examples of AI handling tasks like reviewing timesheets or fixing odd pay errors. Those steps usually need human judgment (because each company’s rules and special cases are different), so they remain mostly done by people for now.

AI Adoption
Payroll is one of those fields where companies see clear benefits but also have to be cautious. On the plus side, payroll work is well‐defined and many firms already use modern systems. A survey found over half of organizations now use cloud‐based payroll tools [4], which makes it easier to add AI features later.
Analysts say the rewards could be big – for example, one report projects AI-powered payroll could cut processing time by roughly 25–50% and dramatically improve accuracy [2]. The American Payroll Association notes that many businesses are gearing up for AI: about half expect to be using it in payroll by 2025 [3].
But there are headwinds. Implementing AI can be costly, and many companies still feel their payroll software has gaps (85% report limitations like poor system integrations [4]). Since payroll involves sensitive tax and personal data, firms move carefully: they need to trust that any AI will follow legal and ethical rules [3].
Also, payroll clerks’ wages are modest, so sometimes it’s cheaper to keep staffing than to pay for a big new system. In short, the tools to automate payroll are available and promise big time and error savings (which encourages adoption), but costs, compliance needs, and the need for human oversight mean change will probably happen in steps. The hopeful view is that AI will help clerks be more efficient and do more interesting work, rather than simply replace them.

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Median Wage
$55,290
Jobs (2024)
161,100
Growth (2024-34)
-16.7%
Annual Openings
13,000
Education
High school diploma or equivalent
Experience
None
Source: Bureau of Labor Statistics, Employment Projections 2024-2034
AI-generated estimates of task resilience over the next 3 years
Issue and record adjustments to pay related to previous errors or retroactive increases.
Conduct verifications of employment.
Coordinate special programs, such as United Way campaigns, that involve payroll deductions.
Process and issue employee paychecks and statements of earnings and deductions.
Compute wages and deductions, and enter data into computers.
Compile employee time, production, and payroll data from time sheets and other records.
Review time sheets, work charts, wage computation, and other information to detect and reconcile payroll discrepancies.
Tasks are ranked by their AI resilience, with the most resilient tasks shown first. Core tasks are essential functions of this occupation, while supplemental tasks provide additional context.

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