Will AI replace underwriters?
This career is at high risk of automation as AI models excel at processing the massive datasets used to determine risk levels. Only the most complex, non-standard cases will continue to require human oversight.
Why AI struggles to replace this job
- Highly unique or unprecedented insurance risks lack the historical data AI needs to function.
- Ethical considerations regarding algorithmic bias require human auditing and intervention.
- Negotiating specific policy exceptions with insurance brokers involves social influence.
- AI cannot easily interpret holistic, qualitative factors that are not present in digital records.
Tasks AI could automate
- Scanning applicant financial records to determine creditworthiness and risk scores.
- Analyzing medical records or property data to calculate insurance premiums.
- Flagging applications that fall outside of standard risk tolerance parameters.
- Updating policy pricing based on real-time shifts in actuarial data.
The 10-year outlook
General underwriting roles will decline in number as AI platforms handle standard applications. Specialists who focus on complex, high-value commercial risks will remain in demand, though overall employment will contract.
Common questions
Will AI replace underwriters?
This career is at high risk of automation as AI models excel at processing the massive datasets used to determine risk levels. Only the most complex, non-standard cases will continue to require human oversight.
What is the AI replacement risk for underwriters?
Underwriter scores 75/100 — This career is highly exposed to AI automation. Roughly 85% of the tasks in this role could be automated with current and near-future AI.
How much do underwriters earn?
The US median salary for a underwriter is about $77,000 per year, with projected employment growth of -2% over the next decade (stable).