Somewhat Resilient

Last Update: 8/30/2026

AI Resilience Score for Claims Adjusters:

46.0%

Median Score

Meaningful human contribution

Low

Long-term employer demand

Med

Sustained economic opportunity

Med

Our confidence in this score:
Medium-high

Contributing sources

Methodology and Scoring Rationale

To score how resilient claims adjusting is to AI, we ask one question in three parts:

First, how much of the job still needs a human, read from five AI-exposure sources: our own AI Resilience Model, Anthropic's Observed Exposure, Microsoft's AI Applicability, Will Robots Take My Job, and OpenAI Signals. 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 claims adjusting, all eight sources had data, and most agreed: AI Resilience Model, Microsoft, Will Robots Take My Job, and OpenAI Signals all rated AI exposure as low for resilience, meaning AI can handle much of this work. Anthropic was the lone outlier at medium. Steady demand and pay kept the score from falling further, landing claims adjusters at "Somewhat Resilient."

AI Resilience Report forClaims Adjusters, Examiners, and Investigators

$78,000 median salary20,900 annual openingsSOC Code: 13-1031.00

Claims Adjusters, Examiners, and Investigators are somewhat less resilient to AI impacts than most occupations, according to our analysis of 8 sources.

Claims adjusting is "Somewhat Resilient" because AI is already handling a big chunk of the routine work (like data entry, document sorting, and simple claim processing), which means fewer entry-level jobs and a real shift in what adjusters spend their time doing. The good news is that complicated claims involving injuries, legal disputes, or upset policyholders still need a real human being, because people want to talk to someone who actually understands what they are going through.

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This role is somewhat resilient

Claims adjusting is "Somewhat Resilient" because AI is already handling a big chunk of the routine work (like data entry, document sorting, and simple claim processing), which means fewer entry-level jobs and a real shift in what adjusters spend their time doing. The good news is that complicated claims involving injuries, legal disputes, or upset policyholders still need a real human being, because people want to talk to someone who actually understands what they are going through.

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Analysis of Current AI Resilience

Claims Adjusters

Updated Quarterly

Analysis
Suggested Actions
State of Automation

How is AI changing Claims Adjusters jobs?

If you're thinking about becoming a claims adjuster, here's the honest picture: AI is already doing a lot of the routine work, but humans still handle the complicated stuff. A March 2026 industry report [1] found 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, and that 82% of carriers use AI for routine tasks like data extraction and automated customer interactions, with intake automation reducing average claim processing times from 10 days to 36 hours. Big carriers are moving fast — Travelers now uses an OpenAI-powered AI assistant to take auto damage claim calls [1], and Deloitte notes [2] that AI is best suited for data validation, policy and coverage checks, triage, routing, document ingestion, classification, summation, notification and status updates.

But for messy claims involving injuries, litigation, or upset policyholders, humans are still essential — as one Deloitte partner puts it [2], the second there's some element of bodily injury, the person wants to talk to somebody, so just because you can technically automate that process using AI doesn't mean it's always advisable.

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AI Adoption

How fast is AI adoption growing for Claims Adjusters?

Adoption is fast but uneven. On the "speed up" side, the Sedgwick report says using AI on low-severity claims has led to 80% faster processing times for some carriers [1], which is a huge cost saver. Job data suggests this is already reshaping hiring: a Claims Journal article [3] reports that postings for adjuster positions are down 55% from their post-pandemic peak compared with 36% for the rest of the labor market, and postings for entry-level adjuster roles have fallen nearly 50% since early 2024 versus 15% for the labor market as a whole, with claims adjusters losing 13,100 jobs in the past year.

On the "slow down" side, regulation matters — the NAIC's 2026 AI issue brief [4] has states scrutinizing how insurers use AI in claim decisions, and workers are pushing back: insurance was the third-most AI-critical industry, with 81% of comments being negative, and AI sentiment among adjusters was 98% negative between June 2025 and May 2026 compared with 53% across all jobs. The U.S. Bureau of Labor Statistics still classifies this as a stable career [5], and Deloitte experts advise [2] adjusters to train to be even more empathetic around people skills and take the lower-value work like data entry and copy-pasting away from them so they can focus on clients in the moment. The takeaway: empathy, negotiation, and complex judgment — the things that make you human — are your job security.

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Will AI replace Claims Adjusters?

Will AI replace Claims Adjusters?

Not entirely. We think AI will take over some tasks, but not the whole job.

Claims adjusting earned a 46.0% AI Resilience Score, which tells you this role is under real pressure. The numbers back that up: job postings for adjuster positions are down 55% from their post-pandemic peak, and entry-level roles have fallen nearly 50% since early 2024 [3]. AI is already handling the routine end of the work, cutting average claim processing times from 10 days to 36 hours for some carriers [1]. That part of the job is genuinely at risk.

But the complicated stuff still needs a human. As one Deloitte partner puts it, the second there is some element of bodily injury, the person wants to talk to somebody [2]. Injured policyholders, disputed claims, litigation, and upset customers all require judgment, empathy, and negotiation that AI cannot reliably replicate. Regulators are also watching closely, with states scrutinizing how insurers use AI in claim decisions [4].

The honest advice: let AI take the data entry and paperwork, and invest heavily in your people skills. Adjusters who can handle the messy, human side of claims are the ones with a future in this field.

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Latest AI news for Claims Adjusters

These articles highlight how AI is transforming the role of claims adjusters, making processes more efficient while emphasizing the importance of human connection. For instance, the "touchless" claims paradigm can increase auto-adjudication rates, reducing workload for adjusters. Additionally, insights from former Google engineer Tomas Vykruta reveal innovative problem-solving approaches tailored to claims challenges. Students entering this field can thrive by embracing AI technologies while nurturing their interpersonal skills, ensuring they remain vital in a tech-driven landscape.

More Career Info

Career: Claims Adjusters, Examiners, and Investigators

They review insurance claims to decide if they should be approved or denied, ensuring everything is fair and accurate.

Employment & Wage Data

Median Wage

$78,000

Jobs (2025)

376,100

Growth (2025-35)

-5.5%

Annual Openings

20,900

Education

High school diploma or equivalent

Experience

None

Source: Bureau of Labor Statistics, Employment Projections 2025-2035

Task-Level AI Resilience Scores

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

1

88% ResilienceCore Task

Attend mediations or trials.

2

78% ResilienceCore Task

Confer with legal counsel on claims requiring litigation.

3

72% ResilienceCore Task

Resolve complex, severe exposure claims, using high service oriented file handling.

4

70% ResilienceCore Task

Present cases and participate in their discussion at claim committee meetings.

5

68% ResilienceSupplemental

Supervise claims adjusters to ensure that adjusters have followed proper methods.

6

67% ResilienceSupplemental

Negotiate claim settlements or recommend litigation when settlement cannot be negotiated.

7

65% ResilienceCore Task

Investigate, evaluate, and settle claims, applying technical knowledge and human relations skills to effect fair and prompt disposal of cases and to contribute to a reduced loss ratio.

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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