Not Very Resilient

Last Update: 6/19/2026

AI Resilience Score for Insurance Claims Clerks:

25.1%

Median Score

Meaningful human contribution

Low

Long-term employer demand

Med

Sustained economic opportunity

Low

Our confidence in this score:
Medium-high

Contributing sources

Methodology and Scoring Rationale

To score how resilient insurance claims and policy processing clerk work is to AI, we ask one question in three parts:

First, how much of the job still needs a human, read from four AI-exposure sources: our own AI Resilience Model, Anthropic's Observed Exposure, Microsoft's AI Applicability, and Will Robots Take My Job. We call this dimension Meaningful Human Contribution (MHC) and weight it at 40%.

Next, whether employers will keep hiring for this job over the long term. This dimension, which we call Long-term Employer Demand (LTE), is calculated from BLS data and weighted at 30%.

Last, whether pay and mobility will hold up. We use wage bill and adaptive capacity data from independent researchers (Althoff & Reichardt, 2026; Manning & Aguirre, 2026). We call this dimension Sustained Economic Opportunity (SEO) and weight it at 30%.

For insurance claims and policy processing clerks, all seven sources had data. Three of the four AI exposure sources rated it High, with Anthropic the only outlier at Medium, so confidence lands at medium-high. Pay and mobility signals were consistently Low, and demand was only Medium. That combination of high automation risk and weak economic opportunity produces a score of "Not Very Resilient."

AI Resilience Report forInsurance Claims and Policy Processing Clerks

$48,450 median salary20,300 annual openingsSOC Code: 43-9041.00

Insurance Claims and Policy Processing Clerks are less resilient to AI impacts than most occupations, according to our analysis of 7 sources.

Insurance Claims and Policy Processing Clerks earn a "Not Very Resilient" label mainly because so much of the core work, like attaching documents, sending notices, pulling up coverage details, and processing straightforward claims, is exactly the kind of repetitive, rule-based task that AI handles best. Some carriers are already seeing 80% faster processing times for simple claims, and the U.

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This role is not very resilient

Insurance Claims and Policy Processing Clerks earn a "Not Very Resilient" label mainly because so much of the core work, like attaching documents, sending notices, pulling up coverage details, and processing straightforward claims, is exactly the kind of repetitive, rule-based task that AI handles best. Some carriers are already seeing 80% faster processing times for simple claims, and the U.

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Analysis of Current AI Resilience

Insurance Claims Clerks

Updated Quarterly

Analysis
Suggested Actions
State of Automation

How is AI changing Insurance Claims Clerks jobs?

If you're worried about robots taking over the paperwork side of insurance, here's an honest picture: AI is already doing real work in this space, but humans are still very much in the loop. A new report from Sedgwick estimates that between 58% and 82% of insurers use AI tools in their operations, but just 12% say they have fully mature AI capabilities and only 7% say they have achieved scalable AI success. So while the technology is everywhere, most companies are still figuring out how to use it well.

Routine clerical tasks — like attaching documents to claim files, sending policy-cancellation notices, and pulling up coverage details — are the easiest to hand off to software. As AI drives more claims automation, the industry expects more straight-through processing of low complexity claims, with some passing through all decision gates to auto-approval without any human adjuster involvement. For phone and customer-service tasks, big carriers are testing voice AI; for example, Travelers launched an OpenAI-powered Agentic AI Claim Assistant [1] that takes auto-damage calls.

More often, though, AI acts as a helpful co-pilot. Deloitte consultants describe AI listening to calls, transcribing, suggesting next-best actions, and shrinking call times from 25 minutes to 15 [2], freeing clerks and adjusters to handle the trickier human conversations.

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AI Adoption

How fast is AI adoption growing for Insurance Claims Clerks?

Adoption is moving quickly but unevenly. Despite significant AI investments, fragmentation is limiting AI's impact, with carriers' data often inconsistent, incomplete, or siloed across systems, which weakens AI outputs and decisions. On the speed side, the economic payoff is real: using AI to handle low-severity claims has led to 80% faster processing times for some carriers.

The U.S. Bureau of Labor Statistics already expects fewer back-office insurance jobs, projecting that employment of claims adjusters, examiners, and investigators is projected to decline 4.4 percent [3] from 2023 to 2033 as AI tools take on more routine work. But several brakes are slowing full replacement. Regulators are watching closely: the NAIC's March 2026 brief [4] makes clear that existing state insurance laws apply whether decisions are made by humans, algorithms, or third-party vendors, and that insurers must show governance, documentation, and testing of their AI.

Worker concerns matter too — Fortune reports rising anxiety about AI-driven layoffs [5] in white-collar fields like insurance. The bottom line: simple, repetitive clerk tasks are most at risk, but skills like empathy on customer calls, judgment on unusual policy changes, and "AI literacy" to double-check what the model produces are becoming more valuable, not less. If you're curious about this field, leaning into those human-plus-AI skills is a smart bet.

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Will AI replace Insurance Claims Clerks?

Will AI replace Insurance Claims Clerks?

In part. We think AI will eventually automate a real share of this work, but meaningful human skills will still matter in this field.

The numbers are honest here. Our 25.1% AI Resilience Score puts this role among the more exposed occupations. Routine tasks like attaching documents, sending cancellation notices, and processing straightforward claims are already being handed off to software. The BLS projects a 4.4 percent decline in claims-related jobs through 2033 [3], and some carriers are reporting 80% faster processing times on low-severity claims. That is real displacement, not a rumor.

Still, the full takeover is not here yet. Most carriers are still working through fragmented data and immature AI systems, and regulators are requiring insurers to document and govern their AI decisions [4]. Complex policy changes, unusual claims, and upset customers still need a person who can listen and judge.

The smarter move is to treat this role as a starting point, not a destination. Skills built here, reading policies carefully, communicating with claimants, spotting errors in automated outputs, translate well into claims adjusting, underwriting support, or compliance work. The people who learn to work alongside AI tools, checking what the model produces and handling what it cannot, will have the clearest path forward [2].

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Latest AI news for Insurance Claims Clerks

These articles highlight the significant impact of AI on the insurance industry, particularly for claims and policy processing clerks. For instance, AI is streamlining claims processing, enhancing efficiency and accuracy, which may change the nature of clerical roles. However, the research also indicates that jobs requiring simple, repetitive tasks are at higher risk of automation. This underscores the importance of developing skills that emphasize empathy and complex problem-solving to remain resilient in a transforming job landscape. Embracing these changes can prepare students for a future where human insight remains valuable.

More Career Info

Career: Insurance Claims and Policy Processing Clerks

They help manage insurance paperwork by checking claims, updating records, and making sure policies are correct.

Employment & Wage Data

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

Task-Level AI Resilience Scores

AI-generated estimates of task resilience over the next 3 years

1

45% ResilienceCore Task

Interview clients and take their calls to provide customer service and obtain information on claims.

2

42% ResilienceCore Task

Organize or work with detailed office or warehouse records, using computers to enter, access, search or retrieve data.

3

35% ResilienceCore Task

Examine letters from policyholders or agents, original insurance applications, and other company documents to determine if changes are needed and effects of changes.

4

32% ResilienceCore Task

Process and record new insurance policies and claims.

5

28% ResilienceCore Task

Modify, update, and process existing policies and claims to reflect any change in beneficiary, amount of coverage, or type of insurance.

6

27% ResilienceSupplemental

Apply insurance rating systems.

7

25% ResilienceCore Task

Prepare insurance claim forms or related documents and review them for completeness.

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.

The AI Resilience Report is a project from CareerVillage.org®, a registered 501(c)(3) nonprofit.

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