Skills it runs on
The capabilities O*NET rates most important for this occupation — the human ground the work is built on.
See all skills →Insurance Appraisers, Auto Damage
Occupation · SOC 13-1032.00
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.
Also called: Appraiser · Automobile Appraiser (Auto Appraiser) · Automobile Damage Appraiser (Auto Damage Appraiser) · Material Damage Appraiser · Damage Appraiser · Field Appraiser · Field Inspector · Insurance Appraiser · Outside Physical Damage Appraiser · Physical Damage Appraiser · Appraisal Specialist · Auto Body Appraiser
Job family: Business and Financial Operations Occupations
Take this to your AI
A source-stamped Markdown brief of this occupation — paste it into an agent, or fetch
/roles/role-13-1032-00/context.md directly.
AI work map
A fast read on where AI already shows up in this occupation, where it stays a copilot, where humans remain in the loop, and what the labor market is doing. Built from observed Claude.ai conversations mapped to O*NET tasks and from published research — measures of usage and exposure, not advice or predictions that the job is going away.
Market signal
Independent published positions, read together — not a forecast.
- Declining employment outlook (-8.2% by 2034)
- 500 openings/yr
- High AI exposure
- Median pay $76,650/yr
- Work is mostly on-site (not teleworkable)
- Both the 2013 computerization estimate and today's AI exposure rank this high
85th-percentile task overlap — yet about 500 openings a year (-8.2% projected, BLS) . What exposure means →
AI & job outlook
What today's research says about this occupation's exposure to AI, how AI is actually being used in it, and where employment is headed. These are positions within published studies — measures of exposure and usage, not predictions that this job will disappear.
Exposure to current AI
Each study uses its own scale, so the raw scores are not comparable across rows — the percentile (this job's rank among all U.S. occupations with data) is the comparable figure, and sizes the bars.
| Measure | Rank vs all occupations | Percentile | Score |
|---|---|---|---|
| Overall AI exposure (Felten et al.) Moderate | 63rd | 0.7 | |
| LLM task exposure, γ (OpenAI / Eloundou) High | 95th | 1.0 | |
| AI assistant applicability (Microsoft) High | 84th | 0.3 |
OpenAI's exposure study scores tasks three ways: with a language model alone (α 0.0), with simple added tooling (β 0.5), and including AI-powered software (γ 1.0). Higher means more of the job's tasks could be done at least twice as fast — not that they will be automated away.
This job mostly cannot be done remotely (Dingel–Neiman) — its hands-on tasks sit outside what software-based AI reaches.
Historical automation estimate (2013)
A pre-LLM (2013) estimate of how automatable this job is by computerization and robotics. Shown for historical context only — it is not part of any current AI ranking.
Frey–Osborne probability 1.0 · 97th percentile among occupations · High
How AI is actually used in this job
Among measured AI assistant conversations mapped to this occupation (Anthropic Economic Index, 2026-01-15), these task types came up most. These are shares of observed AI conversations — not shares of the job, of worker time, or of what could be automated.
| Prepare insurance forms to indicate repair cost estimates and recommendations. | 0.7% |
Job outlook
Independent U.S. Bureau of Labor Statistics employment projection for 2024–2034 — a labor-market forecast, not an AI-impact forecast.
| Outlook | Declining · -8.2% by 2034 |
| Projected annual openings | 500 |
| Employment 2024 → 2034 | 9,200 → 8,400 |
“Annual openings” counts new jobs plus replacements for workers who leave the occupation, so it can be large even when growth is modest.
Where this work sits on the global GenAI gradient
The ILO's 2025 global study scores generative-AI exposure on the international ISCO-08 occupation system, not US SOC. Bridged through the published (and approximate, many-to-many) IBS O*NET-SOC ↔ ISCO-08 crosswalk, this US occupation corresponds to the international occupation below. Exposure here means how much of the work's tasks today's AI can attempt — task overlap, not automation, adoption, or jobs lost.
Insurance Appraisers, Auto Damage sits at the 83rd percentile of 427
occupations on the global GenAI task-exposure gradient
— exposure rose from 2023 to 2025. Each dot is one occupation; the
ringed one is this work. Exposure is task overlap, not automation or jobs lost.
45% mean task exposure (2025)
83rd percentile of 427 placed occupations
+6 pts shift 2023 → 2025
| International occupation (ISCO-08) | Task exposure (2025) | Most tasks fall in |
|---|---|---|
| Valuers and Loss Assessors · 3315 | 45% | Gradient 2 |
Read the whole six-band gradient on the GenAI exposure gradient page. The crosswalk is approximate: a US occupation can map to several international ones, and the ILO scores describe the international occupation, not this exact US role.
Tasks
All 7 tasks O*NET lists for this occupation, ordered by importance. Each links to its own page with AI-exposure and observed-use detail.
- Evaluate practicality of repair as opposed to payment of market value of vehicle before accident. Core · importance 4.7
- Review repair cost estimates with automobile repair shop to secure agreement on cost of repairs. Core · importance 4.7
- Examine damaged vehicle to determine extent of structural, body, mechanical, electrical, or interior damage. Core · importance 4.7
- Prepare insurance forms to indicate repair cost estimates and recommendations. Core · importance 4.7
- Estimate parts and labor to repair damage, using standard automotive labor and parts cost manuals and knowledge of automotive repair. Core · importance 4.7
- Determine salvage value on total-loss vehicle. Core · importance 4.1
- Arrange to have damage appraised by another appraiser to resolve disagreement with shop on repair cost. Core · importance 3.4
Emerging tasks
Newer responsibilities O*NET has flagged as growing for this occupation.
- Contact vendors to locate replacement parts for vehicles.
- Discuss insurance claims with customers or damage claimants.
- Review repair cost estimates and negotiate with automobile repair shops to secure agreement on cost of repairs.
Work activities
- Estimate costs of goods or services.
- Examine financial records.
- Inspect motor vehicles.
- Inspect mechanical components of vehicles to identify problems.
- Inspect structural components of vehicles to identify problems.
- Determine the value of goods or services.
- Prepare contracts or other transaction documents.
- Communicate with management or other staff to resolve problems.
Knowledge, skills & abilities
O*NET importance rating, from 1 (not important) to 5 (extremely important).
Knowledge
| Customer and Personal Service | 4.2 | |
| English Language | 3.8 | |
| Computers and Electronics | 3.4 | |
| Mechanical | 3.2 | |
| Administrative | 3.1 | |
| Education and Training | 3.0 | |
| Law and Government | 2.8 | |
| Mathematics | 2.7 |
Abilities
| Oral Comprehension | 4.0 | |
| Oral Expression | 4.0 | |
| Written Comprehension | 3.8 | |
| Problem Sensitivity | 3.8 | |
| Written Expression | 3.6 | |
| Speech Recognition | 3.5 | |
| Speech Clarity | 3.5 | |
| Deductive Reasoning | 3.3 | |
| Inductive Reasoning | 3.3 | |
| Near Vision | 3.3 | |
| Information Ordering | 3.1 | |
| Category Flexibility | 3.1 | |
| Selective Attention | 3.1 | |
| Flexibility of Closure | 2.9 | |
| Number Facility | 2.8 | |
| Mathematical Reasoning | 2.6 |
Essential skills
| Writing | 3.8 | |
| Speaking | 3.8 | |
| Reading Comprehension | 3.5 | |
| Active Listening | 3.5 | |
| Critical Thinking | 3.4 | |
| Active Learning | 2.9 | |
| Mathematics | 2.6 | |
| Monitoring | 2.5 |
Transferable skills
| Time Management | 3.3 | |
| Judgment and Decision Making | 3.1 | |
| Social Perceptiveness | 3.0 | |
| Service Orientation | 3.0 | |
| Coordination | 2.9 | |
| Persuasion | 2.9 | |
| Negotiation | 2.9 | |
| Complex Problem Solving | 2.9 |
Skills in demand
Skills employers ask for in job postings for this occupation (Lightcast), with whether each is a common or specialized skill.
Tools & technology
Work context
How characteristic each condition is of the job, on O*NET's 1–5 context scale (higher = more present in day-to-day work). Each condition links to how it varies across all occupations.
How to get in
- Job zone
- Zone 3 — Job Zone Three: Medium Preparation Needed
- Education
- Most occupations in this zone require training in vocational schools, related on-the-job experience, or an associate's degree.
- Typical entry-level education
- Postsecondary nondegree award · BLS, the typical path — not a requirement
- Related experience
- Previous work-related skill, knowledge, or experience is required for these occupations. For example, an electrician must have completed three or four years of apprenticeship or several years of vocational training, and often must have passed a licensing exam, in order to perform the job.
- Preparation level
- SVP (6.0 to < 7.0) — total schooling plus on-the-job experience.
What to study: Business, Management, Marketing, and Related Support Services , Mechanic and Repair Technologies/Technicians . Fields of study crosswalked to this occupation (NCES CIP–SOC), not a requirement.
Education of current workers
Share of people in this occupation at each level of education.
| Some College Courses | 30.6% | |
| Post-Secondary Certificate | 28.8% | |
| High School Diploma | 23.9% | |
| Associate's Degree (or other 2-year degree) | 15.2% | |
| Bachelor's Degree | 1.5% |
Interests & work styles
The interests and personal qualities O*NET associates with people who do this work.
Career interests (Holland / RIASEC)
| Conventional | 5.4 | |
| Realistic | 5.2 | |
| Enterprising | 3.5 | |
| Investigative | 3.0 |
Work styles
| Dependability | 4.0 | |
| Attention to Detail | 3.0 | |
| Integrity | 2.1 | |
| Cautiousness | 2.0 |
Interest areas
| Mechanics/Electronics | 3.5 | |
| Finance | 2.8 | |
| Office Work | 2.7 | |
| Accounting | 2.6 | |
| Transportation/Machine Operation | 2.2 | |
| Management/Administration | 1.9 | |
| Law | 1.9 | |
| Mathematics/Statistics | 1.8 |
Wages & employment
U.S. · annual wages (BLS OEWS)
| 10th percentile | $56,690 |
| 25th percentile | $64,280 |
| Median (50th) | $76,650 |
| 75th percentile | $86,430 |
| 90th percentile | $101,800 |
| People employed | 7,790 |
Industries that employ this occupation
Where these workers are employed, by number of jobs (national, BLS OEWS). Pay shown is the occupation's national median, not industry-specific.
| Industry | Workers | National median pay |
|---|---|---|
| Finance and Insurance · Sector | 7,290 | $77,010 |
| Insurance Agencies and Brokerages · National industry | 1,500 | $79,680 |
| Retail Trade · Sector | 180 | $47,470 |
| Management of Companies and Enterprises · Sector | 30 | $81,610 |
| Real Estate and Rental and Leasing · Sector | — | $59,540 |
| Other Services (except Public Administration) · Sector | — | $71,860 |
Where this work is most concentrated
Industries where this occupation is far more common than in the economy as a whole. The location quotient is how many times more concentrated it is here (a value of 5 means five times its economy-wide share).
| Industry | Concentration | Workers |
|---|---|---|
| Insurance Agencies and Brokerages · National industry | 29.98× | 1,500 |
| Finance and Insurance · Sector | 23.17× | 7,290 |
| Retail Trade · Sector | 0.23× | 180 |
Related occupations
Part of the Financial Services career cluster.
- Transportation Vehicle, Equipment and Systems Inspectors, Except Aviation · 53-6051.07 Compare →
- Automotive Body and Related Repairers · 49-3021.00 Compare →
- Automotive Service Technicians and Mechanics · 49-3023.00 Compare →
- Appraisers of Personal and Business Property · 13-2022.00 Compare →
- Automotive Engineering Technicians · 17-3027.01 Compare →
- Cost Estimators · 13-1051.00 Compare →
- Appraisers and Assessors of Real Estate · 13-2023.00 Compare →
- Insurance Claims and Policy Processing Clerks · 43-9041.00 Compare →
- Claims Adjusters, Examiners, and Investigators · 13-1031.00 Compare →
- Credit Authorizers, Checkers, and Clerks · 43-4041.00 Compare →
- Motorcycle Mechanics · 49-3052.00 Compare →
- Automotive Glass Installers and Repairers · 49-3022.00 Compare →
Side-by-side comparisons place two occupations’ pay, preparation, skills, and AI exposure on the same page — same data, same scale, no forecast.
What you can do with this
Options the data surfaces for Insurance Appraisers, Auto Damage — not advice or a forecast. Each is a real cross-link you can follow into the evidence.
Skills that travel
Capabilities this work builds that are used across many other occupations.
Adjacent roles
Occupations O*NET rates as related — the nearby moves on the map.
Paths in
How people typically prepare for this work.
- Postsecondary nondegree award · typical entry level
- Job zone 3 — Job Zone Three: Medium Preparation Needed · preparation tier
- Business, Management, Marketing, and Related Support Services · field of study
- Mechanic and Repair Technologies/Technicians · field of study
Zoom out
On the global GenAI exposure gradient this work sits around the 83rd percentile of 427 international occupations.
Write a report on thisheadline · factoids · citation
Insurance Appraisers, Auto Damage show 85th-percentile AI task overlap — and about 500 annual U.S. openings
- Insurance Appraisers, Auto Damage rank in the 85th percentile (High band) for AI task overlap across U.S. occupations — a measure of how much of the work today's AI can attempt, not how much is automated.Eloundou et al. (GPTs are GPTs) + Felten AIOE
- The occupation is projected to see about 500 U.S. job openings per year (2024–34), counting growth and replacement — a labor-demand projection made independently of AI.BLS Employment Projections 2024–34
- BLS projects employment to be declining (-8.2%) from 2024 to 2034.BLS Employment Projections 2024–34
- Median annual pay is $76,650, across about 7,790 U.S. workers.BLS OEWS (May 2024)
Copy the whole kit
Insurance Appraisers, Auto Damage show 85th-percentile AI task overlap — and about 500 annual U.S. openings • Insurance Appraisers, Auto Damage rank in the 85th percentile (High band) for AI task overlap across U.S. occupations — a measure of how much of the work today's AI can attempt, not how much is automated. (Eloundou et al. (GPTs are GPTs) + Felten AIOE) • The occupation is projected to see about 500 U.S. job openings per year (2024–34), counting growth and replacement — a labor-demand projection made independently of AI. (BLS Employment Projections 2024–34) • BLS projects employment to be declining (-8.2%) from 2024 to 2034. (BLS Employment Projections 2024–34) • Median annual pay is $76,650, across about 7,790 U.S. workers. (BLS OEWS (May 2024)) Source: Singulariki — "Insurance Appraisers, Auto Damage". https://singulariki.com/roles/role-13-1032-00 Note: AI task overlap measures what today's AI can attempt, not automation, job loss, or a forecast.
AssetsShare imageMethodology & sourcesPress & newsroomThe newsroom
Every line is built only from figures this page already shows and cites. AI task overlap means what today's AI can attempt — not automation, job loss, or a forecast.
Sources for this page
Every figure above traces to a named public dataset and the exact release below — not hand-written opinion. See the full methodology for what each measure does and does not mean.
- O*NET 30.3 U.S. Department of Labor / National Center for O*NET Development
- BLS Occupational Employment and Wage Statistics (OEWS) May 2024 U.S. Bureau of Labor Statistics
- BLS Employment Projections 2024–2034 U.S. Bureau of Labor Statistics
- Anthropic Economic Index v4 (2026-01-15) + v2 (2025-03-27) Anthropic
- Microsoft “Working with AI” working-with-ai Microsoft Research
- “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130 OpenAI / academic
- AI Occupational Exposure (AIOE) Felten, Raj & Seamans academic
- ILO / Gmyrek et al. GenAI exposure gradient 2025 International Labour Organization
- IBS O*NET-SOC ↔ ISCO-08 occupation crosswalk 2022 Institute for Structural Research (IBS)
- Frey & Osborne (2013) frey-osborne-automation academic
- Dingel & Neiman (2020) dingel-neiman-workathome academic
Data compiled June 2, 2026. Figures are estimates, not advice.
Cite this page
Plain
Singulariki. "Insurance Appraisers, Auto Damage." Singulariki: a source-backed encyclopedia of work. Built from O*NET 30.3; BLS Occupational Employment and Wage Statistics (OEWS) May 2024; BLS Employment Projections 2024–2034; Anthropic Economic Index v4 (2026-01-15) + v2 (2025-03-27); Microsoft “Working with AI” working-with-ai; “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130; AI Occupational Exposure (AIOE) Felten, Raj & Seamans; ILO / Gmyrek et al. GenAI exposure gradient 2025; IBS O*NET-SOC ↔ ISCO-08 occupation crosswalk 2022; Frey & Osborne (2013) frey-osborne-automation; Dingel & Neiman (2020) dingel-neiman-workathome. Accessed June 7, 2026. https://singulariki.com/roles/role-13-1032-00
APA
Singulariki. (2026). Insurance Appraisers, Auto Damage. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/roles/role-13-1032-00
BibTeX
@misc{singulariki-role-13-1032-00,
title = {Insurance Appraisers, Auto Damage},
author = {{Singulariki}},
year = {2026},
note = {O*NET 30.3; BLS Occupational Employment and Wage Statistics (OEWS) May 2024; BLS Employment Projections 2024–2034; Anthropic Economic Index v4 (2026-01-15) + v2 (2025-03-27); Microsoft “Working with AI” working-with-ai; “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130; AI Occupational Exposure (AIOE) Felten, Raj & Seamans; ILO / Gmyrek et al. GenAI exposure gradient 2025; IBS O*NET-SOC ↔ ISCO-08 occupation crosswalk 2022; Frey & Osborne (2013) frey-osborne-automation; Dingel & Neiman (2020) dingel-neiman-workathome. Accessed June 7, 2026},
url = {https://singulariki.com/roles/role-13-1032-00}
} Citations name the underlying public dataset releases — they reflect what this page is built from, not just the URL.