Evaluate possibility of losses due to catastrophe or excessive insurance.

“Evaluate possibility of losses due to catastrophe or excessive insurance.” is a core task performed by Insurance Underwriters. Among the occupation's 7 rated tasks, workers place it 4th by importance (#4 most important). About 93% of workers say it is relevant to their job.

This is a single occupation-specific task statement from O*NET. The figures below describe how central the task is to the job and what independent studies measure about AI and this kind of work — not a prediction that the task will be automated.

Work activities this task rolls up to

O*NET groups concrete tasks into broader work activities shared across many occupations.

• Analyze business or financial risks. in Analyzing Data or Information

AI exposure

The OpenAI / Eloundou “GPTs are GPTs” study rates this task E2. Exposure with tools — software built on top of a language model (not the model alone) could cut the time by at least half.

Exposure measures whether a model could meaningfully speed the task up — it is an estimate of overlap with model capabilities, not a measure of whether the work will be done by software. The study's intermediate score (β) for this task is 0.50. Automation potential label: T3.

Other tasks in this occupation

• Examine documents to determine degree of risk from factors such as applicant health, financial standing and value, and condition of property. · importance 4.5
• Decline excessive risks. · importance 4.4
• Write to field representatives, medical personnel, or others to obtain further information, quote rates, or explain company underwriting policies. · importance 4.3
• Review company records to determine amount of insurance in force on single risk or group of closely related risks. · importance 4.0
• 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. · importance 4.0
• Authorize reinsurance of policy when risk is high. · importance 3.9

See all tasks on the Insurance Underwriters page.

Sources for this page

Every figure above traces to a named public dataset and the exact release below — not hand-written opinion. See the full methodology for what each measure does and does not mean.

• O*NET 30.3 U.S. Department of Labor / National Center for O*NET Development
• “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130 OpenAI / academic

Data compiled June 2, 2026. Figures are estimates, not advice.

@misc{singulariki-task-1263,
  title  = {Evaluate possibility of losses due to catastrophe or excessive insurance.},
  author = {{Singulariki}},
  year   = {2026},
  note   = {O*NET 30.3; “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130. Accessed June 7, 2026},
  url    = {https://singulariki.com/tasks/task-1263}
}