Review individual applications for insurance to evaluate degree of risk involved and determine acceptance of applications.
U.S. Workers
107,820
Median Salary
$79,880
10-Year Growth
-2.6%
Annual Openings
8,200
Typical entry: Bachelor's degree
7 of 7 tasks have some AI capability
Exposure Trend
This score reflects estimated AI technical capability for tasks in this occupation. It does not predict employment changes, and it does not account for company-specific constraints, regulation, or adoption barriers.
Examine documents to determine degree of risk from factors such as applicant health, financial standing and value, and condition of property.
AI: Fully automatable - Modern AI can extract and interpret medical, financial, and property documents and apply risk models to produce reliable risk assessments for underwriting.
Write to field representatives, medical personnel, or others to obtain further information, quote rates, or explain company underwriting policies.
AI: Fully automatable - AI can draft and automate personalized communications to field reps, medical sources, and applicants, including requests for information, rate quotes, and policy explanations.
Evaluate possibility of losses due to catastrophe or excessive insurance.
AI: Fully automatable - Catastrophe modeling and exposure analysis are highly automated by 2025, enabling AI to evaluate potential catastrophe losses and excessive coverage scenarios accurately.
Review company records to determine amount of insurance in force on single risk or group of closely related risks.
AI: Fully automatable - AI can reconcile company records and policy databases to determine insurance-in-force for single risks or related groups through data integration and entity resolution.
Decline excessive risks.
AI: Partial - AI can automatically flag and recommend declines for clear excessive risks, but borderline or precedent-setting declinations still require human judgment and legal oversight.
Decrease value of policy when risk is substandard and specify applicable endorsements or apply rating to ensure safe, profitable distribution of risks, using reference materials.
AI: Partial - AI can recommend rating adjustments and endorsements based on reference materials and models, but final application and nuanced underwriting judgments often need human approval.
Authorize reinsurance of policy when risk is high.
AI: Partial - AI can evaluate reinsurance needs and draft recommended authorizations, but the contractual negotiation and final authorization of reinsurance typically remain a human responsibility.