---
title: "Will AI Replace Claims Adjusters? (2026)"
description: "BLS rates claims adjusters' exposure to AI as very high. What that means, which parts of the work AI touches, and the 2025–2035 outlook (-5.5% projected)."
canonical: "https://nuecareer.com/careers/will-ai-replace-claims-adjusters"
last-updated: "2026-10-15T08:19:32.066Z"
---

# Will AI Replace Claims Adjusters? (2026)

**Short answer:** This is one of the most exposed jobs, and BLS projects it to shrink. Exposure is not a forecast of job loss on its own, but here the two point the same way.

The Bureau of Labor Statistics places claims adjusters in its very high AI exposure category, among the occupations most exposed to current AI. BLS projects employment to fall by 5.5% over 2025–2035, against 3.5% for all occupations, with about 20,900 openings a year.

| Measure | Value | Source |
| --- | --- | --- |
| BLS relative AI exposure | Very high | BLS Employment Projections, AI exposure categories |
| NueCareer AI-resilience score | 18/100 | NueCareer analysis of O\*NET 31.0 Database |
| Projected employment change | -5.5% | BLS EP 2025–2035 |
| Openings a year | 20,900 | BLS EP 2025–2035 |
| Median annual wage | $78,000 | BLS OEWS May 2025 |

## Exposure categories

| BLS category | Occupations |
| --- | --- |
| Low | 203 |
| Moderate | 194 |
| High | 190 |
| Very high (this job) | 199 |

Exposure means AI could be or has been used to assist with or complete some of the work. BLS says it does not imply job loss, productivity gains, automation probability or wage effects. Method: https://www.bls.gov/emp/publications/ai-exposure-categories.htm

## What holds up

- Resolving conflicts and negotiating with others: 4.3/5 (O\*NET work activity importance)
- Face-to-face discussions: 4.3/5 (O\*NET work context)
- Establishing and maintaining interpersonal relationships: 4.0/5 (O\*NET work activity importance)
- Dealing with the public: 4.4/5 (O\*NET work context)

## What AI reaches first

- Documenting/recording information: 4.3/5 (O\*NET work activity importance)
- Repeating the same tasks: 4.5/5 (O\*NET work context)
- Processing information: 4.0/5 (O\*NET work activity importance)
- Working with computers: 4.7/5 (O\*NET work activity importance)

## O\*NET tasks

- Examine claims forms and other records to determine insurance coverage.
- Interview or correspond with claimants, witnesses, police, physicians, or other relevant parties to determine claim settlement, denial, or review.
- Review police reports, medical treatment records, medical bills, or physical property damage to determine the extent of liability.
- Analyze information gathered by investigation and report findings and recommendations.
- Adjust reserves or provide reserve recommendations to ensure that reserve activities are consistent with corporate policies.
- Verify and analyze data used in settling claims to ensure that claims are valid and that settlements are made according to company practices and procedures.

## Related careers less exposed to AI than claims adjusters

- [Insurance Appraiser, Auto Damage](https://nuecareer.com/careers/insurance-appraiser-auto-damage): BLS exposure High, median $78,240
- [Fundraiser](https://nuecareer.com/careers/fundraiser): BLS exposure High, median $72,550; [Will AI replace fundraisers?](https://nuecareer.com/careers/will-ai-replace-fundraisers)
- [Labor Relations Specialist](https://nuecareer.com/careers/labor-relations-specialist): BLS exposure High, median $95,420

## FAQ

**Will AI replace claims adjusters?**

This is one of the most exposed jobs, and BLS projects it to shrink. Exposure is not a forecast of job loss on its own, but here the two point the same way. BLS defines exposure as AI being able to assist with or complete some of the work, and says it does not imply job loss, productivity gains or wage effects. BLS projects employment to fall by 5.5% over 2025–2035, against 3.5% for all occupations, with about 20,900 openings a year.

**How exposed are claims adjusters to AI?**

BLS sorts 786 occupations into four relative categories: low, moderate, high and very high. Claims Adjusters are in the very high category, alongside 198 other occupations. The categories combine five public measures of where AI could be or already is used, and they compare occupations with each other rather than giving an absolute risk.

**What parts of a claims adjuster, examiner, and investigator's job can AI do?**

In O\*NET's description of the work, the parts that overlap most with what AI handles well are documenting/recording information, repeating the same tasks and processing information. The parts that hold up best are resolving conflicts and negotiating with others, face-to-face discussions and establishing and maintaining interpersonal relationships. These come from O\*NET ratings of how important each activity is to the job, read through NueCareer's AI-resilience method.

**Is being a claims adjuster, examiner, and investigator a safe career from AI?**

On NueCareer's AI-resilience score, built from O\*NET work activities, claims adjusters score 18 out of 100, higher than 9% of the occupations we score. The job pays a median of $78,000 a year (BLS OEWS, May 2025). No job is fully safe from technological change, but the federal exposure category and the projected openings are the two numbers worth weighing.

**What careers similar to claims adjusters are less exposed to AI?**

Insurance Appraiser, Auto Damage (high exposure, $78,240 median), Fundraiser (high exposure, $72,550 median), Labor Relations Specialist (high exposure, $95,420 median). Each is in a lower BLS exposure category than claims adjusters, and most are listed by O\*NET as related to the work.

Full profile: https://nuecareer.com/careers/claims-adjuster-examiner-and-investigator.

---

This bank includes information from the O\*NET 31.0 Database by the U.S. Department of Labor, Employment and Training Administration (USDOL/ETA). Used under the CC BY 4.0 license (https://creativecommons.org/licenses/by/4.0/). O\*NET® is a trademark of USDOL/ETA. NueCareer has transformed the data by joining it to BLS wage and projection data and deriving facet, personality-fit and AI-resilience scores. BLS and BEA data are public domain (17 U.S.C. §105).

O\*NET content is used under [CC BY 4.0](https://creativecommons.org/licenses/by/4.0/). How these figures are sourced and derived: https://nuecareer.com/careers/methodology