# Will insurance claims clerks be replaced by AI? Updated October 2026 Insurance claims clerks score 72 of 100 for AI exposure. AI can already do 61% of their task time. AI speeds up the other 39%. - **61%** AI can do it - **39%** AI helps Very high exposure Higher than 100% of the 923 occupations we scored. ## Task by task We graded 25 tasks, listed here from most to least exposed. AI can do 15 of them today, speeds up 10 and leaves 0 to people. | Task | AI exposure | | --- | --- | | Transcribe data to worksheets, and enter data into computer for use in preparing documents and adjusting accounts. Transcribing and entering worksheet data is ideal for AI tools. | 85% AI can do it | | Enter insurance- and claims-related information into database systems. Keying insurance and claims data into systems is highly automatable. | 85% AI can do it | | Notify insurance agent and accounting department of policy cancellation. Cancellation notices to agents and accounting are templated messages. | 80% AI can do it | | Obtain computer printout of policy cancellations, or retrieve cancellation cards from file. Pulling cancellation reports and records is simple digital retrieval. | 78% AI can do it | | Post or attach information to claim file. Attaching and filing documents to claim files is routine software work. | 75% AI can do it | [See what AI can take on across a finance team](https://www.aigentcy.com/ai-for/finance/) ## How insurance claims clerks compare All occupations (923) Office and administrative support (51) **Insurance claims clerks score 72**, marked by the dark line. Each dot is a score, darker where more occupations share it. The short marks show the averages, 37 for all occupations and 57 for office and administrative support. ## Pay and outlook in the US Median pay $49,230 a year, May 2025 People employed 214,260 in the US, May 2025 Projected change in jobs \-1.9% from 2024 to 2034 ## Skills to build - Key claims and policy data into Microsoft Access databases - Check deductibles and policy terms before calculating claim amounts - Chase missing claim documents by phone and written request - Verify automated entries against source forms in Microsoft Excel - Use medical procedure coding software on health claim files - Hold authority checks on small claim payments and fraud flags ## Safer roles nearby 5 related occupations with lower scores. - [Credit clerks61 out of 100](https://www.aigentcy.com/ai-exposure/credit-clerks/) - [Eligibility interviewers65 out of 100](https://www.aigentcy.com/ai-exposure/eligibility-interviewers/) - [Billing clerks59 out of 100](https://www.aigentcy.com/ai-exposure/billing-clerks/) - [Loan clerks64 out of 100](https://www.aigentcy.com/ai-exposure/loan-clerks/) - [Bookkeepers67 out of 100](https://www.aigentcy.com/ai-exposure/bookkeepers/) ## Questions about insurance claims clerks and AI Will AI replace insurance claims clerks? Largely. About 6 in 10 working hours go to tasks AI can already do, mostly transcribing worksheet data and entering information into database systems. Work that stays with people includes claim interviews, payment authority, and calls to missing parties, since those need listening and judgement. Which insurance claims clerk tasks is AI taking over? Transcribing worksheet data and entering claims information into database systems are the most exposed tasks, each scoring 85 on exposure. Cancellation notices to agents and accounting are templated messages, and attaching documents to claim files is routine software work. Which insurance claims clerk tasks stay human? Interviewing claimants and paying small claims are the least exposed tasks, each scoring 40. Claim interviews need a person listening for detail, and small payments need authority and fraud checks that a clerk signs off on before money moves. How can insurance claims clerks stay valuable? Build skill in checking AI entries against source forms in Microsoft Excel and Access, since errors in automated data are costly. Learn deductible and policy term rules well enough to verify each calculated claim amount. Take on the calls that chase missing documents, and learn medical procedure coding software for health claims. ## Related jobs - [Customer service representatives74 out of 100](https://www.aigentcy.com/ai-exposure/customer-service-representatives/) - [Office clerks60 out of 100](https://www.aigentcy.com/ai-exposure/office-clerks/) - [Claims adjusters56 out of 100](https://www.aigentcy.com/ai-exposure/claims-adjusters/) - [Insurance agents57 out of 100](https://www.aigentcy.com/ai-exposure/insurance-sales-agents/) ## Next steps for insurance claims clerks - ### Check your job Your job title is a rough guide. Your actual tasks decide your score. Paste your job description or CV and see which of your tasks AI can do. [Check your job](https://www.aigentcy.com/tools/ai-exposure-checker/) [Check your CV](https://www.aigentcy.com/tools/cv-checker/) ### Check which roles in your team AI can take on We map your team's tasks, show what AI can do today and build the automations that pay back first. [Book an AI audit](https://www.aigentcy.com/audit/) ## Related topics - [**Jobs AI can't replace**Cement masons score lowest, at 8.](https://www.aigentcy.com/ai-exposure/jobs-ai-cant-replace/) - [**Jobs most at risk from AI**Proofreaders score highest, at 76.](https://www.aigentcy.com/ai-exposure/jobs-most-exposed-to-ai/) - [**High-paying jobs with low AI exposure**Radiologists earn a median $420,860 and score 46.](https://www.aigentcy.com/ai-exposure/high-paying-jobs-low-ai-exposure/) - [**Entry-level jobs with low AI exposure**Cement masons need little prior training and score 8.](https://www.aigentcy.com/ai-exposure/entry-level-jobs-low-ai-exposure/) - [**Jobs AI speeds up the most**For natural sciences managers, AI speeds up 96% of task time.](https://www.aigentcy.com/ai-exposure/jobs-ai-speeds-up/) - [**AI and jobs in Malta**15 iGaming roles graded task by task.](https://www.aigentcy.com/ai-exposure/malta/) - [**Skills that keep work human**The skills to build in the jobs AI changes least.](https://www.aigentcy.com/ai-exposure/skills/) - [**Jobs A to Z**Every job we publish, by first letter.](https://www.aigentcy.com/ai-exposure/jobs/) - [**AI exposure by industry**Average scores for 22 occupation groups.](https://www.aigentcy.com/ai-exposure/industries/) - [**Write a CV screening software can read**How applicant tracking systems read a CV, and what to change.](https://www.aigentcy.com/ai-exposure/cv-screening-guide/) - [**AI for businesses**The tasks to automate first in each team and industry.](https://www.aigentcy.com/ai-for/) - [**How we score AI exposure**The grading, the weights and every source.](https://www.aigentcy.com/ai-exposure/methodology/) Occupation data from the O\*NET 30.3 Database by the U.S. Department of Labor, Employment and Training Administration (USDOL/ETA), used under [CC BY 4.0](https://creativecommons.org/licenses/by/4.0/) and modified by Aigentcy. O\*NET® is a trademark of USDOL/ETA. Wage, employment and projection data from the U.S. Bureau of Labor Statistics. EU occupation names from ESCO, European Commission. AI usage signals from the Anthropic Economic Index (CC BY) and Microsoft Research (CC BY 4.0). [Methodology and sources](https://www.aigentcy.com/ai-exposure/methodology/). Scores © Aigentcy. Quote them with a link to the page.