As of July 2026,
Claims Adjusters, Examiners, and Investigators has an AI-exposure score of 74/100
(Very High exposure) on the AI-Safe Careers index. This is an estimate of task
exposure, not a prediction of job loss.
Score inputs for this role:
This role starts from O*NET 29.1 occupational descriptors and is empirically grounded by Penn/OpenAI GPTs are GPTs study, Anthropic Economic Index (June 26, 2026), Felten, Raj and Seamans AIOE index. BLS labor-market figures are separate context, not score inputs.
Claims Adjusters, Examiners, and Investigators
More exposed than 94% of the roles we track. Median pay ~US$78,000. About 21,100 projected openings a year (BLS 2024–34 - growth plus replacement).
Pay & demand figures are US medians (BLS, in USD) - your local figures will differ. Your exposure score applies broadly.
Early-career context (study ages 22-25)
This role's Very High score and automation-heavy task mix point in the same direction as the study's highest-exposure automation cohort. The measures are not identical, so the study result is context rather than a direct forecast for this role.
The November 2025 revision reports a 16% relative employment decline for workers ages 22-25 in the most AI-exposed U.S. occupations, after firm-level controls, relative to workers in less-exposed fields and more experienced workers in the same occupations.
Use the task map to identify durable work and the skills worth building early.
Stanford Digital Economy Lab, Canaries in the Coal Mine - November 2025 revision
This is group-level U.S. payroll evidence, not a personal forecast. The authors do not claim that AI alone caused the change, and this context does not alter the exposure score.
How this role compares to similar Business & Finance roles
What this role usually involves
Review settled claims to determine that payments and settlements are made in accordance with company practices and procedures. Confer with legal counsel on claims requiring litigation. May also settle insurance claims.
Broad guidance for this preparation level; exact requirements vary by role and employer.
Source: O*NET 29.1 exact occupation - Claims Adjusters, Examiners, and Investigators, SOC 13-1031.00. Context describes the role; the AI-exposure score remains a separate task-exposure estimate.
Claims Adjusters, Examiners, and Investigators tasks, by AI exposure
- Enter claim payments, reserves and new claims on computer system, inputting concise yet sufficient file documentation.
- Maintain claim files, such as records of settled claims and an inventory of claims requiring detailed analysis.
- Review police reports, medical treatment records, medical bills, or physical property damage to determine the extent of liability.
- Interview or correspond with agents and claimants to correct errors or omissions and to investigate questionable claims.
- Refer questionable claims to investigator or claims adjuster for investigation or settlement.
No durable tasks identified for this role - its real, individually-assessed tasks consistently read as automatable (85%).
We analyzed all 20 Claims Adjusters, Examiners, and Investigators tasks - 17 automatable and 3 augmentable. The full task map - every task with exactly what to do about each - is in your Career Report.
Your report unlocks three concrete artifacts
Every task scored with what to automate, augment, or protect.
Related roles with exposure deltas, salary, demand, and reachability. Lower-exposure options appear only when the data supports them.
A keepable roadmap plus resume and LinkedIn repositioning.
Grounded in O*NET-linked or curated role data, with Penn, Anthropic Economic Index, and AIOE signals where matched. BLS labor-market context is separate - not generic advice.
Adjacent career paths
Relatedness shows how reachable a move may be. A path is labeled lower exposure only when its score is at least 6 points lower; every row shows the measured difference.
Enter claim payments, reserves and new claims on computer system, inputting concise yet sufficient file documentation.
Your AI-Safe Career Report
Every task scored with what to do about it; adjacent paths with honest exposure deltas, salary, demand, and reachability; a skill-gap map; a 30/60/90-day roadmap; Agent Reality Check; plus a résumé and LinkedIn rewrite and professional PDF.
Grounded in O*NET-linked or curated role data, with Penn, Anthropic Economic Index, and AIOE signals where matched. BLS labor-market context is separate.
AI was the most-cited reason for U.S. layoffs through mid-2026 - the workers who adapt earliest fare best. - Challenger, Gray & Christmas, 2026The upside: Workers with AI skills earn a roughly 62% wage premium - adapting pays. - PwC Global AI Jobs Barometer, 2026
Instant delivery - your personalized report is ready about a minute after checkout.
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Claims Adjusters, Examiners, and Investigators - median pay by US state (BLS OEWS, USD)
Median annual wage, in USD. US national: US$78,000. More states are being added.