AI JOB SCANNER
O*NET-SOC 13-2053.00 / model V14 rated-task + local-market 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.

CHECK PAY WHERE YOU LIVE

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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