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A/KAI Kills What?

Dossier #43 // career autopsy

Lower exposure Low confidence

Claims Adjusters, Examiners and Investigators

Category: Business & financial · Industry: Financial services

AI Exposure

34/100
0.0

Low exposure

Last updated

12 Oct 2026

19 hours ago · sources: BLS OES (approx) · O*NET

Evidence

0 sources

5 core tasks shown · 1 secondary hidden

Verdict

Claims Adjusters, Examiners and Investigators Lower exposure: only 2 of 5 core tasks show high task automation potential : exposure 34/100 (low exposure).

No model has published evidence mapped to this occupation yet - the score comes from generic task assessment.

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Score breakdown

Why this score?

Every component is stored with the score row and can be recomputed from the evidence table.

AI Exposure (composite)34/100

Methodology 2026-09-a · score v1.0 · input hash 1d06560c76dcd67c

AI capability exposure72/100

Strength of current models on the capabilities this job's tasks require.

Task automation potential42/100

Task-level exposure, weighted by task importance. A component of the headline, not the headline itself.

Observed AI adoption0/100

Evidence that AI is actually being used for this work.

Labour-market signal0/100

Observed changes in postings, employment or earnings.

Evidence strength0/100

Quantity and source quality of the evidence behind the score.

0 evidence item(s) contribute. Calculated 19 hours ago. 12 Oct 2026 UTC.

Overview

Evaluates insurance claims. Damage estimation from photographs and policy matching are automated; fraud investigation and settlements are human.

Employment

≈300,000

approx. BLS OES

Median wage

≈$72,000

approx. BLS OES

Tasks tracked

6

linked to this occupation

Employment and wage values are approximate reference figures from the BLS Occupational Employment and Wage Statistics programme, stored with an approximation flag. Verify against the O*NET record and BLS before quoting them.

Tasks

Task-level automation exposure

All tasks →

Core tasks only. Exposure describes how much of the task output current AI can produce or substantially assist - not whether the task disappears. Secondary shared-baseline edges are hidden until per-occupation curation is complete.

Evidence

Evidence trail

0 attributed item(s). Confidence reflects study design: randomised and production deployments score higher than platform observations, which score higher than projections.

No occupation-specific evidence has been mapped yet. This occupation is scored from generic task assessment only - a genuinely weaker basis, and the reason its score is marked low-confidence.

Historical trend

Exposure over time

Backcast series: recomputed at quarterly checkpoints using only the models and evidence published by each date.

Claims Adjusters, Examiners and Investigators AI exposure backcast, quarterly from 2021Reconstructed exposure series with 23 checkpoints. Current value 34 out of 100. 14 observed snapshots recorded since tracking began.1000502021-01-012026-07-010219
Score · 23 points · 2021-01-01 to 2026-07-01

Reconstruction, not measurement. 14 observed daily snapshot(s) exist for this occupation; the earlier part of the curve is derived by applying the current methodology to the model releases and published evidence available at each past date.

Recent events

Signals affecting this occupation

  1. Occupation score change
    IMPACT 80

    insurance claims adjuster exposure decreased 8.0 points

    AI Exposure Score moved from a previous calculation to 34/100 under methodology v1.0. 0 evidence item(s) contributed.

    Verified signalConfidence:40 · lowVerified by AIKillsWhat
  2. Occupation score change
    IMPACT 10

    insurance claims adjuster exposure increased 1.0 points

    AI Exposure Score moved from a previous calculation to 42/100 under methodology v1.0. 0 evidence item(s) contributed.

    Verified signalConfidence:40 · lowVerified by AIKillsWhat

Related

Other occupations in this industry