Not Very Resilient
Last Update: 7/31/2026
AI Resilience Score for Insurance Claims Clerks:
25.7%
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.
This result is backed by strong agreement across multiple data sources.
Contributing sources
AI Resilience Report forInsurance Claims and Policy Processing Clerks
$49,230 median salary•20,300 annual openings•SOC Code: 43-9041.00
Insurance Claims and Policy Processing Clerks are less resilient to AI impacts than most occupations, according to our analysis of 8 sources.
This career is labeled "Not Very Resilient" because so much of the daily work involves exactly the kind of routine, repetitive tasks that AI handles best, like attaching documents, sending notices, pulling up coverage details, and processing straightforward claims. In fact, the Bureau of Labor Statistics projects a 4.4 percent decline in related jobs from 2023 to 2033, and some carriers are already seeing 80 percent faster processing times as AI takes over low-complexity claims without any human involvement.
Learn more about how you can thrive in this position
This role is not very resilient
This career is labeled "Not Very Resilient" because so much of the daily work involves exactly the kind of routine, repetitive tasks that AI handles best, like attaching documents, sending notices, pulling up coverage details, and processing straightforward claims. In fact, the Bureau of Labor Statistics projects a 4.4 percent decline in related jobs from 2023 to 2033, and some carriers are already seeing 80 percent faster processing times as AI takes over low-complexity claims without any human involvement.
Read full analysisLearn more about how you can thrive in this position
Analysis of Current AI Resilience
Insurance Claims Clerks
Updated Quarterly

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.
Sources

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.
Sources

Will AI replace Insurance Claims Clerks?
In part. We think AI will eventually automate a real share of this work, but the transition will be uneven and there are still real opportunities for people who adapt.
The honest picture is that routine clerical tasks, like attaching documents, sending cancellation notices, and processing straightforward claims, are already being handed off to software. The BLS projects employment in related claims roles will decline 4.4 percent through 2033 as AI takes on more of this work [3]. Our own scorecard puts this career at a 25.7% AI Resilience Score, which reflects genuine exposure. Carriers are also moving fast: some report 80% faster processing times on low-severity claims, and major insurers are testing AI voice tools for customer calls [1].
That said, full replacement is not a done deal. Most insurers are still figuring out AI, and regulators are requiring documented governance and human accountability for automated decisions [4]. The tasks that stay human longest are the ones that need judgment, empathy, and the ability to catch what the AI gets wrong.
If you are early in your career here, the smart move is to build "AI literacy," meaning the ability to review, correct, and work alongside these tools, plus customer communication skills. Those transfer well into adjusting, underwriting support, and compliance roles where human judgment still carries real weight.
Sources

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Latest AI news for Insurance Claims Clerks
These articles highlight how AI is transforming the roles of Insurance Claims and Policy Processing Clerks, emphasizing the need for adaptability. For instance, the shift toward AI-driven claims processing can enhance efficiency and accuracy, making traditional roles evolve rather than disappear. However, the industry faces a talent crisis, particularly affecting women, underscoring the importance of developing new skills to stay relevant. Embracing AI resilience will be crucial for students entering this field, as understanding these changes can position them for success in a rapidly evolving job landscape.

Can AI save the insurance industry from its talent crisis?
www.insurancebusinessmag.com • 4/6/2026
Artificial intelligence is poised to reshape white-collar and clerical work - the backbone of insurance operations.

More than 48,000 New Mexico jobs highly vulnerable to AI disruption
www.bizjournals.com • 3/29/2026
Research reveals which workers lack the skills and resources to adapt as AI reshapes the job market, with women disproportionately at risk.

AI is coming for insurance professionals – and women
www.insurancebusinessmag.com • 3/17/2026
For decades, the insurance industry has been built on a vast administrative infrastructure: the clerks who process policies, the assistants...

When the algorithm knocks: How AI is quietly rewriting insurance jobs
www.insurancebusinessmag.com • 10/24/2025
In the insurance industry, disruption rarely arrives with noise. It comes in spreadsheets, new software modules, and quiet updates to...

How AI Is Radically Changing the Insurance Industry
www.businessnewsdaily.com • 8/8/2024
AI technologies are transforming how risk is assessed, fraud is detected and claims are processed, resulting in more efficient and accurate operations.
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.
Parent Careers
Employment & Wage Data
Median Wage
$49,230
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
Interview clients and take their calls to provide customer service and obtain information on claims.
2
Organize or work with detailed office or warehouse records, using computers to enter, access, search or retrieve data.
3
Examine letters from policyholders or agents, original insurance applications, and other company documents to determine if changes are needed and effects of changes.
4
Process and record new insurance policies and claims.
5
Modify, update, and process existing policies and claims to reflect any change in beneficiary, amount of coverage, or type of insurance.
6
Apply insurance rating systems.
7
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.
