AI exposure Business and financial operations
Will AI replace insurance appraisers?
Insurance Appraisers, Auto Damage. US occupation 13-1032.
The reading
0.0%
of the time insurance appraisers spend on their work goes on tasks where AI is already being used to do that work.of insurance appraisers' working hours go on tasks AI has already started taking off their plate.
Ranked 346 of 756 US occupations. No AI use seen in the work yet, along with 410 other occupations.No handover started yet, along with 410 other occupations.
Per cent of working time Square-law scale
Average US job 7.7%
Among the least exposed jobs there are.Still waiting for liberation.
What AI already does for insurance appraisersWhat insurance appraisers no longer do alone
O*NET lists 7 tasks for insurance appraisers. None of them shows meaningful AI use at work yet.
What it does not touch, yetWhat still needs a human
7 of the 7 tasks show no AI use at work in the data.
- Arrange to have damage appraised by another appraiser to resolve disagreement with shop on repair cost.Core task
- Determine salvage value on total-loss vehicle.Core task
- Estimate parts and labor to repair damage, using standard automotive labor and parts cost manuals and knowledge of automotive repair.Core task
- Evaluate practicality of repair as opposed to payment of market value of vehicle before accident.Core task
- Examine damaged vehicle to determine extent of structural, body, mechanical, electrical, or interior damage.Core task
- Prepare insurance forms to indicate repair cost estimates and recommendations.Core task
Show the other 1
- Review repair cost estimates with automobile repair shop to secure agreement on cost of repairs.Core task
How that compares
Among the 29 business and financial operations occupations, insurance appraisers rank 28. The group averages 17.7%, and its most exposed job is Market Research Analysts and Marketing Specialists at 64.8%. The average US occupation sits at 7.7%.
Level with 0.0%
What this does and does not mean
Exposure is observed use, not a forecast. Anthropic maps work conversations with Claude onto the tasks O*NET lists for each job and asks, of the tasks AI could speed up, which are actually being used for at work. A use that does the task outright counts in full and a use that assists a person counts half. The task scores are averaged into the occupation figure by the share of time spent on each task.
A high figure means AI is already part of how this work gets done. It does not mean anyone has been replaced. Anthropic's own reading of the labour market finds no systematic rise in unemployment among exposed workers so far, and about 14% fewer 22 to 25 year olds starting exposed jobs.No measurable rise in unemployment among exposed workers so far, and about 14% fewer 22 to 25 year olds starting these jobs. Gap years for everyone. Labor market impacts, 5 March 2026.
Task list and titles from O*NET 31.0 by the US Department of Labor, Employment and Training Administration, used under the CC BY 4.0 licence. Scores from the Anthropic Economic Index (CC BY). Checked 1 November 2026. How the ranking works.