At risk / Auto Damage Appraiser
SOC 13-1032.00

Auto Damage Appraiser

VerdictHigher Risk
Signal 01 · structural exposure
79
/ 100

Auto Damage Appraiser scores 21/100 on this site's structural exposure measure, a low reading reflecting how closely photo-based damage assessment and standardized cost estimation resemble the structured, pattern-recognition work computer-vision AI is specifically built to handle.

Signal 02 · real-world AI usage
Not yet available

We have not ingested real-world usage data for this occupation yet. We show a band only where genuine data exists, rather than estimate one.

What this is not
Neither reading measures whether any single auto damage appraiser has lost work to AI. That data does not exist anywhere yet — both signals describe tasks, not headcount. This page is not a prediction that this job disappears.
How we calculated this →

What a auto damage appraiser actually does

Auto damage appraisers, officially titled Insurance Appraisers, Auto Damage, inspect vehicles damaged in accidents to estimate repair costs, determining whether a vehicle should be repaired or declared a total loss. The work involves physically examining a damaged vehicle, or reviewing photos and documentation submitted by a policyholder or repair shop, then applying standardized estimating software and parts/labor pricing data to produce a repair-cost estimate an insurance company will pay out against.

Appraisers work for insurance companies, independent appraisal firms, or auto body shops, and the role sits within the broader insurance-claims process: an appraiser's estimate directly determines how much an insurer pays a policyholder or repair shop, making accuracy and consistency central to the job. Some appraisers work in the field visiting damaged vehicles directly, while others work from photos and digital documentation submitted remotely, a distinction that has become especially relevant as insurers have adopted photo-based and remote-estimating workflows.

Why it reads this way

Auto Damage Appraiser scores 21/100 on this site's structural exposure measure, a low reading reflecting how closely photo-based damage assessment and standardized cost estimation resemble the structured, pattern-recognition work computer-vision AI is specifically built to handle. Real, named, commercially deployed AI vendors already operate at scale in this exact space: Tractable, CCC Intelligent Solutions, and Solera/Audatex all provide AI-powered auto-damage-estimation tools that are genuinely embedded in the claims pipeline at major insurers, not pilot projects.

Even CCC's own January 2026 marketing material, titled 'Supporting Appraisers with AI-Powered Estimating,' frames its tool as augmentation rather than replacement, a real, disclosed counter-signal from the vendor's own framing rather than proof of full displacement.

The stronger, more objective signal is BLS's own forward-looking projection: this occupation is one of the relatively few tracked on this site with a projected decline, -1% or lower, 2024-2034, against a small existing workforce of only about 9,200 workers nationally and just 500 annual openings projected, a real contraction already priced into government labor statistics rather than a hypothetical risk.

Licensing offers only partial protection: some states require an auto-damage-appraiser or general adjuster license, but this coverage is confirmed leaky and state-by-state rather than a comprehensive nationwide wall, not enough to clear this site's bar for a protective legal requirement covering the occupation broadly.

Skills this role draws on

Vehicle Damage AssessmentRepair-Cost Estimation SoftwareParts & Labor Pricing AnalysisInsurance Claims DocumentationTotal-Loss Determination
Pay & demand
$58,360–$101,590
10th–90th percentile, USD/year
Average: $78,240/yr
Demand
Low
Growth outlook
Uncertain
Projected growth
-1% or lower (2024-2034), a projected decline against a small existing workforce (~9,200 nationally, ~500 annual openings), a real, objective contraction signal already reflected in BLS's own forward-looking projection, consistent with named, commercially-deployed AI computer-vision estimating tools already embedded in the claims pipeline at major insurers (BLS Occupational Outlook Handbook)

Range source: O*NET OnLine, 2025 wage data via BLS OEWS, SOC 13-1032.00 'Insurance Appraisers, Auto Damage'
Average source: O*NET OnLine 2025 wage data (Annual Median Wage) for Insurance Appraisers, Auto Damage (13-1032.00)

Research verdict
Assessed as of 2026-08-19
At risk

Auto Damage Appraiser scores 21/100. Real, named, commercially-deployed AI computer-vision vendors (Tractable, CCC Intelligent Solutions, Solera/Audatex) are genuinely embedded in the claims pipeline at major insurers, not pilots, though CCC's own marketing material frames its tool as augmentation rather than replacement, a disclosed counter-signal. The stronger, more objective evidence is BLS's own forward-looking projection: this occupation shows a real decline (-1% or lower, 2024-2034) against a small workforce (~9,200 nationally), a contraction already priced into government data. Licensing is confirmed leaky and state-by-state, not a comprehensive nationwide wall. As of 2026-08-19.

This is a researched judgment (checklist v1.2), not a statistical measurement — it sits alongside, not instead of, the structural exposure signal above. Next scheduled review: 2027-02-19.

Sources (3)
Last updated: August 2026Source: O*NET OnLine, 2025 wage data via BLS OEWS, SOC 13-1032.00 'Insurance Appraisers, Auto Damage'

Data sources & methodology

Salary data: O*NET OnLine, 2025 wage data via BLS OEWS, SOC 13-1032.00 'Insurance Appraisers, Auto Damage'. Average figure sourced separately: O*NET OnLine 2025 wage data (Annual Median Wage) for Insurance Appraisers, Auto Damage (13-1032.00).

Task descriptions: Based on O*NET occupational analysis (13-1032.00).

Real-world AI usage band: Microsoft's "Working with AI" study of Bing Copilot conversations mapped to O*NET tasks (arXiv 2507.07935), and corroborating data from the Anthropic Economic Index.

Growth projections: -1% or lower (2024-2034), a projected decline against a small existing workforce (~9,200 nationally, ~500 annual openings), a real, objective contraction signal already reflected in BLS's own forward-looking projection, consistent with named, commercially-deployed AI computer-vision estimating tools already embedded in the claims pipeline at major insurers (BLS Occupational Outlook Handbook), based on BLS Occupational Outlook Handbook.

Learn more about our methodology