Will AI replace Claims Adjusters, Examiners, and Investigators?
AI reaches a large part of this job’s work.
50/100
High exposure
More exposed to AI than 80% of US workers.
- AI already used in
- 6% of the work
- As AI tools mature: up to
- 81% of the work
What the job 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.
Where AI reaches the work
The job’s main tasks, heaviest first, by how far AI reaches them.
Already happening(2)
- Examine claims forms and other records to determine insurance coverage.
- Prepare reports to be submitted to company's data processing department.
Within reach(21)
- Analyze information gathered by investigation and report findings and recommendations.
- Review police reports, medical treatment records, medical bills, or physical property damage to determine the extent of liability.
- Interview or correspond with claimants, witnesses, police, physicians, or other relevant parties to determine claim settlement, denial, or review.
- 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.
- Interview or correspond with agents and claimants to correct errors or omissions and to investigate questionable claims.
and 16 more
Out of reach(6)
- Pay and process claims within designated authority level.
- Investigate and assess damage to property and create or review property damage estimates.
- Resolve complex, severe exposure claims, using high service oriented file handling.
- Attend mediations or trials.
- Communicate with reinsurance brokers to obtain information necessary for processing claims.
and 1 more
Also called
Claims Adjuster · Claims Analyst · Claims Examiner · Workers' Compensation Claims Examiner · Claims Specialist · Adjuster · Field Investigator · Fire Claims Adjuster
Related jobs
What these numbers mean
The score is the share of this job’s work, weighted by how important and frequent each task is, that AI could do in half the time: tasks an AI model could do alone count in full, tasks that need software built on AI count half.
“AI already used” is the share of the work in tasks where people are recorded using AI today. “As AI tools mature” counts every task AI could halve, with or without extra software.
The percentile compares the score with every job’s, weighted by how many people in the US do each one. Exposure means AI could change how the work is done, not that the job goes away. These are estimates for the typical job, not predictions.
Sources
- O*NET 31.0 Database, U.S. Department of Labor, Employment and Training Administration
- GPTs are GPTs: Labor market impact potential of LLMs (task labels), Eloundou, Manning, Mishkin & Rock (2023), OpenAI and University of Pennsylvania
- Anthropic Economic Index: labor market impacts (task penetration), Anthropic
- Occupational Employment and Wage Statistics, May 2025 (national and metropolitan areas), U.S. Bureau of Labor Statistics