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The AI Resilience Report helps you understand how AI is likely to impact your current or future career. Drawing on data from over 1,500 occupations, it provides a clear snapshot to support informed career decisions.
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Last Update: 4/23/2026
Your role’s AI Resilience Score is
Median Score
Meaningful human contribution
Measures the parts of the occupation that still require a human touch. This score averages data from up to four AI exposure datasets, focusing on the role’s resilience against automation.
Low
Long-term employer demand
Predicts the health of the job market for this role through 2034. Using Bureau of Labor Statistics data, it balances projected annual job openings (60%) with overall employment growth (40%).
Med
Sustained economic opportunity
Measures future earning potential and career flexibility. This score is a blend of total projected labor income (67%) and the role’s inherent ability to adapt to economic and technological shifts (33%).
Low
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.
Most data sources align, with only minor variation. This is a well-supported result.
Contributing sources
Billing and Posting Clerks are less resilient to AI impacts than most occupations, according to our analysis of 7 sources.
This career is labeled as "Not Very Resilient" because many of the routine tasks billing clerks perform, like compiling invoices and posting charges, are being automated by AI and software. Technology can handle up to 90% of invoice entry, which reduces the need for humans to do these basic tasks.
Read full analysisLearn more about how you can thrive in this position
Learn more about how you can thrive in this position
This role is not very resilient
This career is labeled as "Not Very Resilient" because many of the routine tasks billing clerks perform, like compiling invoices and posting charges, are being automated by AI and software. Technology can handle up to 90% of invoice entry, which reduces the need for humans to do these basic tasks.
Read full analysisAnalysis of Current AI Resilience
Billing and Posting Clerks
Updated Quarterly • Last Update: 2/17/2026

Billing clerks spend much of their day on routine tasks like compiling invoices, adding up charges, and mailing statements [1]. Many of these step-by-step jobs can now be done by software. For example, modern billing systems use optical character recognition (OCR) and AI to automatically read invoice numbers and amounts, posting them to accounts [2].
This means the “keep records of invoices” and “operate billing machines” tasks are largely handled by machines today, freeing people to handle exceptions. Likewise, simple customer questions (“What are my rates?”) can be answered by chatbots or automated emails. More complex duties – like tracking down why a check bounced, adjusting an account, or double-checking a signature – still need a human touch.
In short, computers do the grunt work (up to ~90% of invoice entry [2]), while clerks focus on tricky problems and personal service.

Companies adopt billing automation when it clearly saves money or effort. AI tools can cut errors and speed up processing, as one study notes that automation in invoicing boosts efficiency and lowers costs [2]. Many businesses already use electronic billing software and sending systems, so adding AI features is often easy.
However, implementing new AI systems requires time and money, especially for small offices with old computers or tight budgets. Researchers point out that smaller firms with limited resources may hesitate to upgrade, slowing adoption [2]. Labor market factors matter too: if clerks are inexpensive or plentiful, a firm might delay automating.
Legal and trust issues also play a role – for example, healthcare billing often keeps humans in the loop to ensure compliance and reassure customers. Overall, AI is steadily helping with routine parts of billing, but people remain key for review, decision-making, and customer service [2] [2]. In the long run, clerks who learn to use AI tools and focus on personal skills (like talking with customers and solving unusual errors) will still be valuable, even as technology handles more of the basic work.

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They handle bills by checking amounts, updating records, and making sure payments are correct and on time.
Median Wage
$47,170
Jobs (2024)
429,800
Growth (2024-34)
-0.4%
Annual Openings
42,200
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
Track accumulated hours and dollar amounts charged to each client job to calculate client fees for professional services, such as legal or accounting services.
Fix minor problems, such as equipment jams, and notify repair personnel of major equipment problems.
Load machines with statements, cancelled checks, or envelopes to prepare statements for distribution to customers or stuff envelopes by hand.
Encode and cancel checks, using bank machines.
Retrieve checks returned to customers in error, adjusting customer accounts and answering inquiries about errors as necessary.
Compare previously prepared bank statements with canceled checks and reconcile discrepancies.
Update manuals when rates, rules, or regulations are amended.
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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