Will AI replace Insurance Appraisers, Auto Damage?
AI reaches a large part of this job’s work.
49/100
High exposure
More exposed to AI than 79% of US workers.
- AI already used in
- 0% of the work
- As AI tools mature: up to
- 84% of the work
What the job involves
Appraise automobile or other vehicle damage to determine repair costs for insurance claim settlement. Prepare insurance forms to indicate repair cost or cost estimates and recommendations. May seek agreement with automotive repair shop on repair costs.
Where AI reaches the work
The job’s main tasks, heaviest first, by how far AI reaches them.
Within reach(6)
- Review repair cost estimates with automobile repair shop to secure agreement on cost of repairs.
- Estimate parts and labor to repair damage, using standard automotive labor and parts cost manuals and knowledge of automotive repair.
- Evaluate practicality of repair as opposed to payment of market value of vehicle before accident.
- Prepare insurance forms to indicate repair cost estimates and recommendations.
- Determine salvage value on total-loss vehicle.
and 1 more
Out of reach(1)
- Examine damaged vehicle to determine extent of structural, body, mechanical, electrical, or interior damage.
Also called
Automobile Damage Appraiser (Auto Damage Appraiser) · Auto Damage Appraiser · Automobile Damage Estimator (Auto Damage Estimator) · Auto Damage Estimator · Appraiser · Material Damage Appraiser · Auto Damage Insurance Appraiser · Vehicle Damage Appraiser
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