AI JOB RISK SCANNER
O*NET-SOC 13-2053.00 / model V11 rated-task engine

Will AI replace
Insurance Underwriters?

Review individual applications for insurance to evaluate degree of risk involved and determine acceptance of applications.

Estimated AI task exposure
92%

Very High exposure

V11 weights occupation tasks using O*NET Importance, Relevance and Frequency ratings instead of treating every task equally.

7 tasks have usable Task Rating records; weighted-task coverage is 100%.

Digital/info work

80/100

Physical moat

3/100

Human moat

17/100

Rating coverage

100%

7 task statements / 7 rated

Highest-weighted occupation tasks

Examine documents to determine degree of risk from factors such as applicant health, financial standing and value, and condition of property.
Importance 88/100Relevance 100/100Frequency 84/100Weight 0.92
Write to field representatives, medical personnel, or others to obtain further information, quote rates, or explain company underwriting policies.
Importance 82/100Relevance 100/100Frequency 79/100Weight 0.88
Decline excessive risks.
Importance 86/100Relevance 100/100Frequency 61/100Weight 0.85
Evaluate possibility of losses due to catastrophe or excessive insurance.
Importance 80/100Relevance 93/100Frequency 64/100Weight 0.81
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 74/100Relevance 97/100Frequency 65/100Weight 0.80
Review company records to determine amount of insurance in force on single risk or group of closely related risks.
Importance 76/100Relevance 93/100Frequency 66/100Weight 0.80
Authorize reinsurance of policy when risk is high.
Importance 73/100Relevance 87/100Frequency 40/100Weight 0.70

Task weighting

Each rated task receives a composite weight: 38% relevance, 37% importance and 25% frequency. Core tasks receive a small additional multiplier. Low-precision rows flagged by O*NET for suppression are excluded.

Occupation scoring

When rating coverage is strong, rated tasks contribute 60% of the digital, physical and human task signals and Work Activities contribute 40%. Lower-coverage occupations automatically rely more on Work Activities.

U.S. labor market

BLS Wage & Employment Outlook

Median annual wage

$81,370

BLS OEWS May 2025

National employment

105,420

BLS OEWS May 2025

Projected growth

-3.8%

BLS Employment Projections 2025–2035

Average annual openings

7

BLS Employment Projections 2025–2035

BLS labor-market figures are separate from the site's AI-exposure model. Missing values mean a compatible detailed BLS occupation estimate was not published or could not be mapped.

Career pivot radar

Safer Career Alternatives

These options are selected from the same 923-occupation model. They favor a similar task/work profile with meaningfully lower estimated AI exposure. They are suggestions for exploration, not guarantees of job fit.

Personalized career defense protocol

AI-Proofing Plan

AUTOMATE

  • routine information gathering
  • first-pass document drafting
  • standard reporting and summarization
  • repeatable administrative workflows

AUGMENT

  • research and analysis
  • quality checking AI-generated work
  • decision preparation
  • scenario generation

PROTECT

  • domain expertise
  • exception handling
  • accountability for outcomes

LEARN

  • AI-assisted research
  • workflow automation
  • data literacy
  • prompt and workflow design
  • AI output verification

AI-PROOFING RESOURCES

What this score does not mean

The percentage is a comparative task-exposure index. It is not the probability that this occupation disappears, that a worker is laid off, or that AI can perform the entire job.

New in V11

Find a Safer Career Path

High exposure does not mean starting over. V11 compares your occupation with the other 922 O*NET occupations and surfaces lower-exposure options with similar work profiles.

EXPLORE CAREER ALTERNATIVES
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