67
/100

SOC 13-1032

Insurance Appraisers, Auto Damage

High RiskFrey/Osborne: 98.0%

Risk Score

โš ๏ธ

67/100

High Risk

US Employment

๐Ÿ‘ฅ

7,790

Total workers

Median Wage

๐Ÿ’ฐ

$77K

$57K โ€“ $102K

Projected Growth

๐Ÿ“ˆ

-8.2%

2023-2033 (BLS)

GenAI Exposure

๐Ÿค–

31/100

Moderate exposure

How we calculate these numbers โ†’

๐Ÿ’ก Insurance Appraisers, Auto Damage face a risk score of 67/100 โ€” 23 points above the national average of 44. With only 31/100 GenAI exposure, most core tasks remain resistant to current AI capabilities. See our methodology โ†’

๐Ÿ’ก Workers in this field earn $77K ($30K above the national median). The 3 recommended career transitions all maintain competitive wages while reducing automation exposure. Explore transition paths โ†’

๐Ÿ” AI Impact Analysis

With a risk score of 67/100, Insurance Appraisers, Auto Damage faces moderate automation pressure. While tasks like algorithmic trading and ai portfolio management are increasingly handled by AI, the role retains significant human elements. The 7,790 workers in this occupation should focus on strengthening skills in stakeholder management in complex organizational settings and strategic advisory requiring deep client relationship knowledge to stay ahead. The role will likely evolve rather than disappear.

Will AI Replace Insurance Appraisers, Auto Damage?

Read our full analysis with verdict, risk factors, safe tasks, and career transition paths โ†’

โš ๏ธ Top Risk Factors

1

Algorithmic trading and AI portfolio management

2

Robotic process automation for accounting workflows

3

AI credit scoring and underwriting models

4

Automated financial reporting and reconciliation

๐Ÿ›ก๏ธ Tasks Safe from Automation

โœ“

Stakeholder management in complex organizational settings

โœ“

Strategic advisory requiring deep client relationship knowledge

โœ“

Navigating regulatory ambiguity and compliance judgment

๐Ÿ“Š Task Automation Breakdown

Based on O*NET task analysis and GenAI exposure scoring. Shows the estimated proportion of this occupation's core tasks that are automatable by current AI, augmented by AI tools, or require essential human skills.

๐Ÿ“‹ O*NET Task Profile

โ€ข

Evaluate practicality of repair as opposed to payment of market value of vehicle before accident.

โ€ข

Review repair cost estimates with automobile repair shop to secure agreement on cost of repairs.

โ€ข

Examine damaged vehicle to determine extent of structural, body, mechanical, electrical, or interior damage.

โ€ข

Prepare insurance forms to indicate repair cost estimates and recommendations.

โ€ข

Estimate parts and labor to repair damage, using standard automotive labor and parts cost manuals and knowledge of automotive repair.

๐Ÿ’ป Technology Skills

โ€ข

Graphics or photo imaging software

โ€ข

Document management software

โ€ข

Project management software

โ€ข

Compiler and decompiler software

โ€ข

Electronic mail software

๐ŸŽ“ Key Knowledge Areas

โ€ข

Customer and Personal Service

โ€ข

English Language

โ€ข

Computers and Electronics

โ€ข

Mechanical

โ€ข

Administrative

๐Ÿ“Š vs National Average

Median Wage$77K
+$30K

National avg: $46K

Risk Score67/100
+23

National avg: 44/100

GenAI Exposure31/100
-7

National avg: 38/100

Projected Growth-8.2%
-11.9%

National avg: 3.7%

๐Ÿ”„ Career Transition Paths

OccupationRiskWageOverlap
Advertising, Marketing, Promotions, Public Relations, and Sales Managers16$145K67%
Lawyers, Judges, and Related Workers17$144K65%
Business Operations Specialists28$80K78%