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JOB REPORT / 13-2053 · 7 TASKS

Insurance Underwriters.

Can AI do the work of Insurance Underwriters?

Mostly it works alongside you. Here is what shifts, task by task.

YOUR EXPERIENCE MATTERS

How does this fit your work?

How many tasks do you use AI to assist with at work?

Drag the dot. There’s no wrong answer; it starts at our estimate.

Starting pointOur estimate

The mark shows what’s typical for this job.

The parts of your job AI can already do most of:

  • Write to field representatives, medical personnel, or others…
  • Review company records to determine amount of insurance…
  • Examine documents to determine degree of risk from factors

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WHAT WE LOOKED AT

Your job, task by task.

7 of 7 tasks reviewed

We went through all 7 core tasks in this job, one at a time.

Task by task, from the work Insurance Underwriters actually do. How we describe AI use in each task is our own read of it, not a measurement of whether AI can replace the job.

  1. TASK 01

    Write to field representatives, medical personnel, or others to obtain further information, quote rates, or explain company underwriting policies.

    AI DOES

    Drafts letters, fills in rate quotes, and formats policy explanations from templates

    YOU DO

    Decide what questions matter most and tailor tone for each relationship

  2. TASK 02

    Review company records to determine amount of insurance in force on single risk or group of closely related risks.

    AI DOES

    Searches records, aggregates coverage amounts, and highlights concentration risks automatically

    YOU DO

    Apply judgment when records are incomplete, unusual, or require business context

  3. TASK 03

    Examine documents to determine degree of risk from factors such as applicant health, financial standing and value, and condition of property.

    AI DOES

    Scans documents, pulls out risk signals, and scores common applicant profiles automatically

    YOU DO

    Judge edge cases, weigh factors that don't fit standard patterns, and own the final risk decision

  4. TASK 04

    Evaluate possibility of losses due to catastrophe or excessive insurance.

    AI DOES

    Scans historical loss data, runs catastrophe models, and scores risk portfolios quickly

    YOU DO

    Apply real-world judgment to edge cases, unusual exposures, and business relationship tradeoffs

  5. TASK 05

    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 DOES

    Pulls reference tables, flags substandard risk signals, and drafts endorsement options

    YOU DO

    Make the final call on pricing, endorsements, and risk appetite for each unique case

  6. TASK 06

    Authorize reinsurance of policy when risk is high.

    AI DOES

    Screens risk levels, pulls comparable cases, and drafts reinsurance recommendations

    YOU DO

    Own the final authorization decision and negotiate terms with reinsurers

  7. TASK 07SOURCE-BACKED TASK

    Decline excessive risks.

    AI DOES

    Flags potential risks in data patterns

    YOU DO

    Decide which risks truly matter

    About this analysis

    31% · Methodology: exposure-v1 · Analysis date: unavailable · Confidence: medium

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Data sources and attribution

This page includes information from the O*NET 30.3 Database by the U.S. Department of Labor, Employment and Training Administration (USDOL/ETA). Used under the CC BY 4.0 license. rtwoai has modified all or some of this information. USDOL/ETA has not approved, endorsed, or tested these modifications. O*NET® is a trademark of USDOL/ETA.

Wage and employment figures are from the U.S. Bureau of Labor Statistics, Occupational Employment and Wage Statistics (2025). Job outlook is from the BLS Employment Projections program, 2024–34. BLS data are in the public domain. BLS has not reviewed or endorsed this page.

Task collaboration data is from the Anthropic Economic Index, release 2025-03-27, used under the CC BY 4.0 license. Anthropic has not reviewed or endorsed this page.

How we describe AI use in each task is our own characterization, not a measurement of whether AI can replace this job. Microsoft note that their metrics "should not be misconstrued or misrepresented as measuring the ability of AI to replace jobs," and that there is more to an occupation than the sum of its tasks.