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Comparison · dataset August 2026

Financial Analyst vs Insurance Underwriter: which is more exposed to AI?

Effectively tied: 2 points separate Financial Analysts from Insurance Underwriters.

Financial Analyst scores 82% time-weighted AI exposure and Insurance Underwriter scores 80% — close enough that the headline number tells you almost nothing. The difference lives underneath it: Financial Analysts lose the most ground on "gather and clean market data" (92%), while for Insurance Underwriters it is "personal lines risk scoring and pricing" (94%). Both roles sit inside Business & Finance, so the exposure difference reflects task design rather than a change of field.

2PP GAP

Seven dimensions, side by side.

METRICFINANCIAL ANALYSTINSURANCE UNDERWRITERDELTA
AI exposure82%80%2pp gap
Resilience score40/10040/1000pt gap
Substitutable work time62%52%Fully automatable today
Human-critical work time21%32%Models score poorly here
Median salary$96k$78k$18k apart
10-year growth9%-4%Financial Analyst
US workforce371k102kBLS OEWS
Task level

What actually creates the gap.

Financial Analysts spend 62% of their time-weighted week on tasks a current model can produce end-to-end, against 52% for Insurance Underwriters. The single largest contributor is "gather and clean market data", graded at 92% and worth 14% of the role's time. That one task accounts for more of the gap than any difference in seniority, tooling, or industry.

Financial Analyst
MOST EXPOSED TASKS
  • Gather and clean market data92% · 14% time
  • Build and update financial models88% · 22% time
  • Perform variance analysis84% · 10% time
  • Write investment research reports81% · 16% time
HUMAN-CRITICAL CORE
  • Manage client relationships12% · 7% time
  • Navigate regulatory negotiations19% · 4% time
  • Advise on capital allocation28% · 10% time
Insurance Underwriter
MOST EXPOSED TASKS
  • Personal lines risk scoring and pricing94% · 24% time
  • Claims history and data analysis91% · 14% time
  • Policy document generation88% · 14% time
HUMAN-CRITICAL CORE
  • Broker and client relationship management14% · 10% time
  • Regulatory compliance decisions22% · 6% time
  • Complex and specialty risk underwriting38% · 16% time
What transfers

Both roles lean on procedural, cognitive, judgement — that is the part of your experience that travels intact. The real divide is creative: Financial Analysts score 48 there against 32 for Insurance Underwriters, a 16-point spread. That is the gap you would actually have to close.

DIMENSIONFINANCIAL ANALYSTINSURANCE UNDERWRITER
Creative4832
Switching between them
LowDIFFICULTY

Financial Analyst appears in our dataset as a mapped adjacent career for Insurance Underwriters: the move raises exposure by 2 points, landing at 82%. Switch difficulty reads low — capability profiles are 10 points apart on average and both sit in the same family.

Score your own exposure in 8 questions →

Common questions.

Is Financial Analyst or Insurance Underwriter more at risk from AI?

Financial Analyst. It scores 82% time-weighted AI exposure against 80% for Insurance Underwriter — a 2-point gap. 62% of financial analyst work time is already fully substitutable by current models, versus 52% for Insurance Underwriters.

Which pays more, Financial Analyst or Insurance Underwriter?

Financial Analyst, by roughly $18k at the median ($96k versus $78k). Note that the higher-paying role here is also the more AI-exposed one, which matters if you are weighing pay against durability.

Can a financial analyst switch to being a insurance underwriter?

Financial Analyst appears in our dataset as a mapped adjacent career for Insurance Underwriters: the move raises exposure by 2 points, landing at 82%. Switch difficulty reads low — capability profiles are 10 points apart on average and both sit in the same family.

Which role is growing faster, Financial Analyst or Insurance Underwriter?

Financial Analyst, at 9% projected ten-year growth versus -4% — a 13-point difference. Growth and AI exposure are separate signals: a role can grow in headcount while the content of the work is substantially rewritten.

Career families
Business & Finance
Methodology
Scores are time-weighted across each role's canonical O*NET tasks, graded against current frontier-model capability. How we score.