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AI exposure report

Will AI replace Insurance Appraisers, Auto Damage?

Some of your tasks will be automated. People who use AI will have the edge.

Task exposure to today's AI

48/100

Moderate exposure

This is the occupation's typical task mix. Your own score can be up to 30 points higher or lower depending on how you work: routine share, people contact, judgment and how much you already use AI.

Get your personal score

Will AI replace Insurance Appraisers, Auto Damage?

Not entirely. Today's AI tools can take on about 48% of the typical work in this occupation, mostly: prepare insurance forms to indicate repair cost estimates and recommendations. The parts that stay human include: Examine damaged vehicle to determine extent of structural, body, mechanical, electrical, or interior damage.; Estimate parts and labor to repair damage, using standard automotive labor and parts cost manuals and knowledge of automotive repair.; Review repair cost estimates with automobile repair shop to secure agreement on cost of repairs..

People who learn to use AI for the automatable parts keep the edge. The 3-phase plan below shows where to start.

Which tasks AI can take on

The largest tasks in this occupation, their share of the working week, and how much of each today's AI tools can do.

TaskAutomatable
Prepare insurance forms to indicate repair cost estimates and recommendations. 82%
Estimate parts and labor to repair damage, using standard automotive labor and parts cost manuals and knowledge of automotive repair. 62%
Evaluate practicality of repair as opposed to payment of market value of vehicle before accident. 57%
Determine salvage value on total-loss vehicle. 57%
Review repair cost estimates with automobile repair shop to secure agreement on cost of repairs. 38%
Examine damaged vehicle to determine extent of structural, body, mechanical, electrical, or interior damage. 20%

+ 1 more tasks (1% of the week) in the full test.

Your human edge

  • Examine damaged vehicle to determine extent of structural, body, mechanical, electrical, or interior damage.
  • Estimate parts and labor to repair damage, using standard automotive labor and parts cost manuals and knowledge of automotive repair.
  • Review repair cost estimates with automobile repair shop to secure agreement on cost of repairs.

AI tools to try

Excel / Sheets with Copilot or GeminiChatGPT / Claude for analysis and draftingAI document extraction (invoices, contracts, forms)

Related roles

A 3-phase AI learning plan

Phase 1

Automate the routine

  • AI for data entry, extraction and reconciliation.
  • Formulas, pivot tables and checks written with AI.
  • Standard emails and documents from templates.

Project

Build an AI prompt and spreadsheet that extracts VIN, panel damage and photo notes from 20 past appraisal files into a line-item estimate template, and time the before/after.

Phase 2

Analysis and advice

  • Forecasts and variance analysis with AI, checked against the source.
  • Plain-language summaries of numbers for managers or clients.
  • Research rules and regulations with AI, then verify in the original.

Project

Use AI to draft plain-language total-loss vs repair summaries for 10 closed files, comparing AI's salvage/ACV reasoning against your actual settlement and state total-loss threshold rules.

Phase 3

Process owner

  • Map and automate a full process with no-code tools (Make, Zapier, Power Automate).
  • Data quality, controls and audit trails for AI-assisted work.
  • Turn saved time into higher-value advisory work.

Project

Map and automate the intake-to-estimate workflow with a no-code tool so shop photos trigger a draft estimate form and audit log, then measure cycle time cut over 15 claims.
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