SOC 15-2011
Actuaries
Risk Score
⚠️32/100
Moderate
US Employment
👥28,340
Total workers
Median Wage
💰$126K
$75K – $206K
Projected Growth
📈+21.8%
2023-2033 (BLS)
GenAI Exposure
🤖88/100
High exposure
💡 Actuaries face a risk score of 32/100 — 12 points below the national average of 44. With 88/100 GenAI exposure, this occupation faces significant pressure from AI tools despite strong projected growth. See our methodology →
💡 Workers in this field earn $126K ($79K above the national median). The 3 recommended career transitions all maintain competitive wages while reducing automation exposure. Explore transition paths →
🔍 AI Impact Analysis
With a risk score of 32/100, Actuaries faces moderate automation pressure. While tasks like large language model automation of analysis tasks are increasingly handled by AI, the role retains significant human elements. The 28,340 workers in this occupation should focus on strengthening skills in cross-functional collaboration on ambiguous problems and architecting novel systems requiring creative problem-solving to stay ahead. The role will likely evolve rather than disappear.
Will AI Replace Actuaries?
Read our full analysis with verdict, risk factors, safe tasks, and career transition paths →
⚠️ Top Risk Factors
Large language model automation of analysis tasks
AI pair-programming and code generation tools
Low-code / no-code platforms reducing custom development
🛡️ Tasks Safe from Automation
Cross-functional collaboration on ambiguous problems
Architecting novel systems requiring creative problem-solving
Stakeholder negotiation and requirements elicitation
Ethical AI oversight and bias auditing
📊 vs National Average
National avg: $46K
National avg: 44/100
National avg: 38/100
National avg: 3.7%
🔄 Career Transition Paths
| Occupation | Risk | Wage | Overlap |
|---|---|---|---|
| Advertising, Marketing, Promotions, Public Relations, and Sales Managers | 16 | $145K | 57% |
| Mathematicians | 24 | $122K | 81% |
| Computer and Information Research Scientists | 30 | $141K | 79% |