SOC 13-2053
Insurance Underwriters
Risk Score
โ ๏ธ74/100
High Risk
US Employment
๐ฅ107,820
Total workers
Median Wage
๐ฐ$80K
$52K โ $138K
Projected Growth
๐-2.6%
2023-2033 (BLS)
GenAI Exposure
๐ค95/100
High exposure
๐ก Insurance Underwriters face a risk score of 74/100 โ 30 points above the national average of 44. With 95/100 GenAI exposure, this occupation faces significant pressure from AI tools despite weak projected growth. See our methodology โ
๐ก Workers in this field earn $80K ($34K above the national median). The 3 recommended career transitions all maintain competitive wages while reducing automation exposure. Explore transition paths โ
๐ AI Impact Analysis
With a risk score of 74/100, Insurance Underwriters faces significant automation pressure. Key threats include large language model automation of analysis tasks and ai-generated written content replacing manual drafting. The 107,820 Americans in this role should actively develop skills in ethical judgment in fiduciary and advisory roles and crisis financial decision-making under uncertainty to remain competitive. Workers who proactively adapt will find new opportunities even as traditional tasks are automated.
Will AI Replace Insurance Underwriters?
Read our full analysis with verdict, risk factors, safe tasks, and career transition paths โ
โ ๏ธ Top Risk Factors
Large language model automation of analysis tasks
AI-generated written content replacing manual drafting
Automated data interpretation and insight generation
Automated tax preparation and compliance tools
AI-powered research and literature review tools
๐ก๏ธ Tasks Safe from Automation
Ethical judgment in fiduciary and advisory roles
Crisis financial decision-making under uncertainty
Stakeholder management in complex organizational settings
๐ 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.
๐ O*NET Task Profile
Examine documents to determine degree of risk from factors such as applicant health, financial standing and value, and condition of property.
Decline excessive risks.
Write to field representatives, medical personnel, or others to obtain further information, quote rates, or explain company underwriting policies.
Evaluate possibility of losses due to catastrophe or excessive insurance.
Review company records to determine amount of insurance in force on single risk or group of closely related risks.
๐ป Technology Skills
Enterprise resource planning ERP software
Object or component oriented development software
Data base user interface and query software
Financial analysis software
Document management software
๐ Key Knowledge Areas
English Language
Customer and Personal Service
Mathematics
Sales and Marketing
Administrative
๐ vs National Average
National avg: $46K
National avg: 44/100
National avg: 38/100
National avg: 3.7%
๐ Career Transition Paths
| Occupation | Risk | Wage | Overlap |
|---|---|---|---|
| Advertising, Marketing, Promotions, Public Relations, and Sales Managers | 16 | $145K | 61% |
| Lawyers, Judges, and Related Workers | 17 | $144K | 59% |
| Business Operations Specialists | 28 | $80K | 77% |