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Will AI replace insurance underwriters? Live data

Insurance underwriters have moderate measured AI exposure: Claude usage data covers about 6% of the tasks in this job that AI could in theory speed up. UK adverts are -24.3% year on year, and US postings in Indeed's Insurance category are -15.1%. Our ledger has no AI-attributed layoff events linked to this role yet.

AI exposure (observed)
6%
Moderate · higher than 69% of 756 US occupations
UK job adverts · ONS
537
Sep 2026 · -24.3% y/y (6 matched months)
UK postings · Indeed Insurance
100.9
Feb 2020 = 100 · -7.7% y/y
US postings · Indeed Insurance
102.7
Feb 2020 = 100 · -15.1% y/y

How exposed is this job to AI?

The score is Anthropic's observed exposure for US occupation Insurance Underwriters (SOC 13-2053). It takes the tasks that a language model could theoretically speed up and measures how many are actually showing up in real work-related Claude usage, with fully automated use counting more than assistance.

LowestPosition among 756 occupationsHighest

Dashed line = top third. This occupation is in the top third (used in our ledger rubric, grade B). Ranked #231 of 756.

Exposure is not job loss. Anthropic's March 2026 analysis found no systematic rise in unemployment for highly exposed workers since late 2022, with only tentative evidence of slower hiring of 22-25 year-olds into exposed jobs. Scores use US task data applied to UK roles via our mapping.

What the job involves

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

O*NET 31.0 description for Insurance Underwriters. 7 of 7 tasks have a task-level score.

Tasks where AI use is most visible

  • Decline excessive risks. 100% coverage

Core tasks with no observed AI use

  • Examine documents to determine degree of risk from factors such as applicant health, financial standing and value, and condition of property.
  • Write to field representatives, medical personnel, or others to obtain further information, quote rates, or explain company underwriting policies.
  • Evaluate possibility of losses due to catastrophe or excessive insurance.
  • Review company records to determine amount of insurance in force on single risk or group of closely related risks.
  • 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.

UK hiring: online job adverts

Monthly new online job adverts for UK SOC 2020 3532 Insurance underwriters. Year-on-year change compares the last six months with the same months a year earlier, using only months published in both years.

Source: ONS, Online job advert estimates (Textkernel), published 22 October 2026, OGL v3.0. Gaps are suppressed cells. Official statistics in development: Oct 2025-Feb 2026 and Jun-Sep 2026 partly imputed; March 2026 suppressed; Textkernel taxonomy updates cause step changes, so compare recent years with care.

Live postings: UK and US (Indeed)

Indeed's Insurance category index (covers more than this occupation).

Source: Indeed Hiring Lab job postings by sector, seasonally adjusted, 7-day average, to 16 Oct 2026. CC BY 4.0.

AI-attributed layoffs affecting related roles

None yet. That is not evidence of no impact - most job change happens through slower hiring, not announced layoffs.

Links between events and occupations are our editorial mapping, not company-stated.

What to do if you're one of the insurance underwriters

  1. Lean into the work AI isn't doing. In the usage data, core tasks such as "Examine documents to determine degree of risk from factors such as applicant health, financial standing and value, and condition of property" show no observed AI use. Building depth there is the most defensible part of the role.
  2. Get fluent with AI on the tasks it's already touching. The highest-coverage task here is "Decline excessive risks". People who can check, direct and sign off AI output on tasks like this are likely to be more valuable than those competing with it.
  3. Watch hiring, not headlines. UK adverts for this role are down on a year ago, but compare with the wider market: all UK adverts are -3.4% on the same basis (dashboard). A fall that matches the whole market is a cycle, not an AI story.
  4. Check the claims. When a company says AI replaced jobs, look at its grade in our ledger - many announcements are mixed or AI-washed.

Data mapping for this page

US occupation (exposure, tasks)13-2053 Insurance Underwriters
UK SOC 2020 (ONS adverts)3532 Insurance underwriters
Indeed categoryInsurance
Mapping confidencehigh Direct match.

The US SOC → UK SOC 2020 crosswalk is a documented best-effort editorial mapping; see methodology.

Related occupations

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