Last Update: 3/13/2026
Your role’s AI Resilience Score is
Median Score
Changing Fast
Evolving
Stable
This reflects the reliability of your score based on the number of data sources available for this career and how closely those sources agree on the outlook. A higher confidence means more consistent evidence from labor experts and AI models.
What does this resilience result mean?
These roles are undergoing rapid transformation. Entry-level tasks may be automated, and career paths may look different in the near future.
AI Resilience Report for
They make sure employees get paid correctly by tracking hours worked and preparing paychecks on time.
This role is changing fast
The career of Payroll and Timekeeping Clerks is changing fast because many of their routine tasks, like calculating pay and tax deductions, are being automated by advanced payroll software and AI tools. These systems can handle things like processing hours worked and generating payslips with minimal human input.
Read full analysisLearn more about how you can thrive in your career
Learn more about how you can thrive in your career
This role is changing fast
The career of Payroll and Timekeeping Clerks is changing fast because many of their routine tasks, like calculating pay and tax deductions, are being automated by advanced payroll software and AI tools. These systems can handle things like processing hours worked and generating payslips with minimal human input.
Read full analysisContributing Sources
We aggregate scores from multiple models and supplement with employment projections for a more accurate picture of this occupation’s resilience. Expand to view all sources.
AI Resilience
AI Resilience Model v1.0
AI Task Resilience
CareerVillage's proprietary model that estimates how resilient each occupation's tasks are to AI automation and augmentation
Microsoft's Working with AI
AI Applicability
Measures how applicable AI tools (like Bing Copilot) are to each occupation based on real usage patterns
Anthropic's Observed Exposure
AI Resilience
Based on observed patterns of how Claude is being used across occupational tasks in real conversations
Will Robots Take My Job
Automation Resilience
Estimates the probability of automation for each occupation based on research from Oxford University and other academic sources
Althoff & Reichardt
Economic Growth
Measured as "Wage bill" which is a long term projection for average wage × employment. It's the total labor income flowing to an occupation
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: 2/17/2026

What's changing and what's not
Payroll and Timekeeping Clerks handle tasks like computing wages, verifying hours worked, and issuing paychecks [1]. These are mostly routine number‐crunching jobs. In practice, payroll software already automates much of the work.
For example, systems can calculate pay and tax deductions with a few clicks and flag any errors [2] [3]. Digital time clocks or badge scanners often feed hours directly into the system [2], and even global payroll tools can handle local taxes and generate payslips automatically [2]. New AI-powered features are emerging too: some payroll apps now include chatbots and smart assistants to answer common employee questions, and algorithms that help keep up with changing tax laws and spot any odd payroll entries [3] [3].
In short, computers and software handle the routine data and calculations today. People are still needed for the rest – fixing unusual pay issues, talking through questions, and giving the personal judgment and customer service that AI can’t do [3].

AI in the real world
Whether companies adopt more AI for payroll depends on costs, benefits, and rules. Big organizations with many employees often already use advanced payroll systems and may add AI faster to save time and avoid mistakes [2] [3]. Small businesses may adopt more slowly if new tools seem costly or unnecessary.
In fact, a report found about half of finance teams haven’t fully automated all processes yet [2], so many firms still rely on people for parts of payroll. On the plus side, many payroll professionals welcome AI help: one survey found 38% believe AI will make their work more efficient [3]. Experts stress that AI is meant to support staff (boosting accuracy and compliance), not replace them [2].
Companies also must consider privacy and legal rules for employee data, which can slow adoption. Overall, firms that need bigger efficiency gains will adopt AI faster, while others will move more slowly. In any case, human skills – like problem-solving, clear communication, and caring teamwork – remain important as payroll work changes [3].

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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
Provide information to employees and managers on payroll matters, tax issues, benefit plans, and collective agreement provisions.
Distribute and collect timecards each pay period.
Coordinate special programs, such as United Way campaigns, that involve payroll deductions.
Conduct verifications of employment.
Keep informed about changes in tax and deduction laws that apply to the payroll process.
Complete, verify, and process forms and documentation for administration of benefits such as pension plans, and unemployment and medical insurance.
Complete time sheets showing employees' arrival and departure times.
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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