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 help manage insurance paperwork by checking claims, updating records, and making sure policies are correct.
This role is changing fast
This career is labeled as "Changing fast" because many routine tasks like data entry and processing paperwork are being automated by AI tools, making these parts of the job less reliant on humans. However, opportunities still exist for clerks who focus on tasks needing judgment and empathy, such as helping customers with complex claims.
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
This career is labeled as "Changing fast" because many routine tasks like data entry and processing paperwork are being automated by AI tools, making these parts of the job less reliant on humans. However, opportunities still exist for clerks who focus on tasks needing judgment and empathy, such as helping customers with complex claims.
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
Insurance Claims Clerks
Updated Quarterly • Last Update: 2/17/2026

What's changing and what's not
Many parts of claims clerk work are routine and already being automated or aided by software. For example, insurance firms now use AI tools to handle paperwork and data entry: systems can scan claim forms (using OCR), fill databases, update policies, and even send emails to agents about cancellations. Industry reports note carriers are “implementing AI into different aspects of the claims process” such as reviewing paperwork and communicating with policyholders [1].
A McKinsey report finds insurers using AI in “augmented claims management” and even voice-robot customer service [2]. This means chatbots or voice assistants can answer simple questions and route calls, letting clerks focus on unusual issues. In short, highly repetitive tasks like transcribing data into spreadsheets, posting information to files, and preparing routine forms (core to the job) are increasingly done with RPA or AI helpers [3] [2].
However, tasks needing real judgment or empathy – like talking through a complex claim with a customer – remain largely human. Insurers typically use AI to aid workers, not replace them outright: software might draft a notice or summarize coverage, then a person checks it.

AI in the real world
Insurance companies have good reasons to automate fast – the technology is available and savings can be big – but also reasons to move cautiously. Software for data processing, OCR, and chatbots is widely sold, so firms can try tools without huge upfront costs. Even saving a few positions adds up: Bureau of Labor Statistics data show about 240,000 claims clerks earn a median ~$47,000 [4], so automating some work can quickly lower expenses.
McKinsey warns insurers that AI is becoming a competitive must-have [2]. In fact, BLS projects a slight decline (~4%) in these jobs by 2033 [3], reflecting efficiency gains. On the other hand, insurance work is highly regulated and customer-trust is critical.
Companies are careful to keep humans supervising decisions and handling complex calls. Socially and legally, customers often expect a person to guide them through a claim.
In practice, adoption is likely to be gradual and balanced. Firms will quickly use AI for clear wins – automating routine data entry and flagging simple errors – because that’s straightforward and cost-saving. But they will keep people in the loop for tricky or sensitive tasks.
This means some clerical duties will shrink, but human skills (listening to customers, explaining policies, problem-solving) stay valuable. In the long run, young workers who learn to use these smart tools (and focus on judgment and communication) should still find plenty of opportunity in insurance support roles. [3] [2]

Help us improve this report.
Tell us if this analysis feels accurate or we missed something.
Share your feedback
Navigate your career with COACH, your free AI Career Coach. Research-backed, designed with career experts.
Median Wage
$48,450
Jobs (2024)
256,700
Growth (2024-34)
-3.7%
Annual Openings
20,300
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
Process, prepare, and submit business or government forms, such as submitting applications for coverage to insurance carriers.
Interview clients and take their calls to provide customer service and obtain information on claims.
Organize or work with detailed office or warehouse records, using computers to enter, access, search or retrieve data.
Examine letters from policyholders or agents, original insurance applications, and other company documents to determine if changes are needed and effects of changes.
Organize and work with detailed office or warehouse records, maintaining files for each policyholder, including policies that are to be reinstated or cancelled.
Pay small claims.
Modify, update, and process existing policies and claims to reflect any change in beneficiary, amount of coverage, or type of insurance.
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.

© 2026 CareerVillage.org. All rights reserved.
The AI Resilience Report is a project from CareerVillage.org®, a registered 501(c)(3) nonprofit.
Built with ❤️ by Sandbox Web
The AI Resilience Report is governed by CareerVillage.org’s Privacy Policy and Terms of Service. This site is not affiliated with Anthropic, Microsoft, or any other data provider and doesn't necessarily represent their viewpoints. This site is being actively updated, and may sometimes contain errors or require improvement in wording or data. To report an error or request a change, please contact air@careervillage.org.