Insurance appraisers, auto damage
SOC Code: 13-1032
Insurance appraisers, auto damage carries a 27% AI exposure score (Medium automation risk), with a median annual wage of $76,650 and -8.2% projected employment growth from 2024 to 2034 (BLS), affecting approximately 9,200 workers. Full task breakdown, skills, and employer data are below.
Proportion of tasks susceptible to AI automation (O*NET analysis)
At 27% AI exposure, Insurance appraisers, auto damage sits 10 points below the 37.2% average across 832 U.S. occupations - more exposed than 22% of them. Most of its core tasks still require human judgment.
Career outlook score
51/100
Insurance appraisers, auto damage, weighted across 3 of 3 tracked dimensions
A weighted composite of median wage, projected growth, and AI-automation security (inverted exposure), each benchmarked against every other tracked occupation. It describes this occupation's standing across those three dimensions, not a guarantee of future outcomes.
- Median wage B $76,650
Annual median wage, percentile rank vs all tracked occupations
- Projected growth F -8.2%
Projected employment change, 2024-2034, BLS Employment Projections
- AI exposure (inverted) B+ 27% exposure
Lower O*NET task-automability scores lower risk; this dimension scores security, not exposure
Home health and personal care aides is #1 of 832 occupations by employment (4.3M, AI exposure rank #392 at 35%) vs. Bookkeeping, accounting, and auditing clerks #1 by AI task exposure (95%, employment rank #17 at 1.6M).
Automation-risk inventory
Exclusive cut of 832 occupations by PlainWorkforce automation-risk band. Orthogonal to the continuous AI-exposure distribution chart below and to this occupation's single risk badge, this is the corpus band mix, with Insurance appraisers, auto damage in the Medium band.
Credential × growth standing
Associate / award entry with a named growth shelf
Entry credential Associate / award covers 99 of 832 occupations; BLS places this one in Declining (111/832). Mid-credential standing - thicker than graduate shelves, thinner than HS-dominated mass.
Where Insurance appraisers, auto damage sits among all occupations
AI-exposure score distribution across 832 U.S. occupations (O*NET task analysis). This occupation is marked in rose.
Where Insurance appraisers, auto damage sits by AI exposure
AI-exposure score distribution across U.S. occupations (O*NET task analysis)
27% Among the lowest lower than 78% of 832 occupations
Occupations, banded by AI-exposure score
Each bar is a band; taller bars hold more occupations. The dashed line + filled bar mark this entry. Hover or tap any bar for its full count and share, and where it sits relative to this entry.
Source O*NET task data (U.S. Department of Labor) · BLS 2024–2034
Source: O*NET task data (U.S. Department of Labor); AI-exposure scores are PlainWorkforce's analysis. As of BLS 2024–2034.
Insurance appraisers, auto damage vs. its occupational neighbors
AI exposure (horizontal) vs projected 2024–2034 growth (vertical) for occupations in the same SOC group. Insurance appraisers, auto damage is marked in rose; the top-left corner is the most future-proof.
Source: BLS Employment Projections 2024–2034 (growth) and O*NET (AI-exposure analysis by PlainWorkforce).
Employment Projections
Where This Score Comes From
Insurance appraisers, auto damage's Medium automation-risk tier is computed from O*NET Database 30.0 task-level analysis, where each documented task the occupation performs is evaluated against current generative AI, robotic process automation, and machine-learning capabilities. A score below 40% reflects tasks anchored in physical dexterity, unstructured environments, or high-touch human interaction that current AI cannot reliably replicate.
The employment, wage, and education figures above come from a second, separate federal source: BLS Employment Projections 2024–2034, matched to the O*NET task data by Standard Occupational Classification (SOC 13-1032) code, with the wage figure cross-validated against the BLS Occupational Employment and Wage Statistics (OEWS) May 2024 survey. BLS figures are presented exactly as published, with no adjustment on our part; the SOC-code match is what lets Insurance appraisers, auto damage be compared directly against every other tracked occupation on the same basis, not just roles that happen to share a job title.
For career planners, this profile should be read alongside the task, skill, and knowledge breakdowns below and the list of employers whose workforce composition includes Insurance appraisers, auto damage. Adjacent occupations shown further down offer lateral moves that preserve industry knowledge while potentially reducing exposure.
Education & Entry Requirements
Top Tasks (O*NET)
- 1. Evaluate practicality of repair as opposed to payment of market value of vehicle before accident.
- 2. Review repair cost estimates with automobile repair shop to secure agreement on cost of repairs.
- 3. Examine damaged vehicle to determine extent of structural, body, mechanical, electrical, or interior damage.
- 4. Prepare insurance forms to indicate repair cost estimates and recommendations.
- 5. Estimate parts and labor to repair damage, using standard automotive labor and parts cost manuals and knowledge of automotive repair.
- 6. Determine salvage value on total-loss vehicle.
- 7. Arrange to have damage appraised by another appraiser to resolve disagreement with shop on repair cost.
Key Skills Required
- Writing
- Speaking
- Reading Comprehension
- Active Listening
- Critical Thinking
- Time Management
- Judgment and Decision Making
- Social Perceptiveness
- Service Orientation
- Active Learning
Knowledge Areas
- Customer and Personal Service
- English Language
- Computers and Electronics
- Mechanical
- Administrative
- Education and Training
- Law and Government
- Mathematics
- Transportation
- Administration and Management
Frequently Asked Questions
Will AI replace Insurance appraisers, auto damage?
Insurance appraisers, auto damage has an AI exposure score of 27%, indicating a medium level of automation risk. The majority of tasks in this role require human judgment, creativity, or physical presence that AI cannot easily replicate.
What is the job outlook for Insurance appraisers, auto damage?
According to BLS Employment Projections 2024-2034, Insurance appraisers, auto damage is projected to decline by 8.2% over the decade. Current employment stands at approximately 9,200 workers.
What skills are needed for Insurance appraisers, auto damage?
Key skills for Insurance appraisers, auto damage include Writing, Speaking, Reading Comprehension, and others. Typical entry-level education is Postsecondary nondegree award.
How much do Insurance appraisers, auto damage earn?
The median annual wage for Insurance appraisers, auto damage is $76,650, according to BLS Occupational Employment and Wage Statistics (May 2024). Actual earnings vary by location, experience, industry, and employer. The BLS publishes detailed wage percentiles by region in its Occupational Employment and Wage Statistics program.
What education is required for Insurance appraisers, auto damage?
The typical entry-level education for Insurance appraisers, auto damage is Postsecondary nondegree award. Employers generally expect None of related work experience. On-the-job training typically involves Moderate-term on-the-job training. Requirements can vary by employer and specialization.
Which companies employ Insurance appraisers, auto damage?
Insurance appraisers, auto damage roles exist across many industries and employers. Workforce composition is estimated from BLS industry-occupation employment distributions matched to SEC-registered public companies.
AI Exposure Rating
Medium automation risk based on 7 analyzed tasks. Most tasks require human judgment and are resistant to automation.
Nationwide occupations with similar workforce profiles
Two data-derived peer sets for Insurance appraisers, auto damage: AI-exposure neighbors and BLS 2034 growth neighbors (distinct comparison neighborhoods, cross-occupation).
Similar AI exposure score
Nearest O*NET task-automability scores nationwide (27% here).
- Civil engineers · AI exposure 27%
- Clinical and counseling psychologists · AI exposure 27%
- Coating, painting, and spraying machine setters, operators, and tenders · AI exposure 27%
- Concierges · AI exposure 27%
Similar projected growth (2024–2034)
Nearest BLS employment change rates nationwide (-8.2% here).
- Printing press operators · growth -8.1%
- Locksmiths and safe repairers · growth -8.3%
- Rolling machine setters, operators, and tenders, metal and plastic · growth -8.3%
- Postal service mail sorters, processors, and processing machine operators · growth -8.4%
Peers are nearest-neighbor matches on published BLS + O*NET metrics among occupations with ≥10,000 workers in 2024; corpus ranks above sort the full tracked set.
Related Occupations
Showing 6 of 10 occupations with a comparable automation-risk profile.
What to do with this
Use Insurance appraisers, auto damage's numbers above to compare, not just read in isolation.
- Compare Insurance appraisers, auto damage side by side against another occupation on wage, growth, and AI exposure. Workforce comparison tool
- Understand how the AI exposure score above is actually calculated before treating it as a verdict. Reading AI exposure scores
- See the full ranked list of occupations with the lowest automation exposure nationwide. Safest occupations from AI
AI exposure scores estimate task automatability from O*NET data; they are not a certainty of job loss, and BLS growth projections are estimates, not guarantees.
Data sources: Bureau of Labor Statistics Employment Projections 2024–2034 and O*NET Database 30.0. Employment figures are rounded. Wage data from BLS Occupational Employment Statistics (OES).