Estimate parts and labor to repair damage, using standard automotive labor and parts cost manuals and knowledge of automotive repair.
Work task
“Estimate parts and labor to repair damage, using standard automotive labor and parts cost manuals and knowledge of automotive repair.” is a core task performed by Insurance Appraisers, Auto Damage. Among the occupation's 7 rated tasks, workers place it 3rd by importance (#5 most important). About 99% of workers say it is relevant to their job.
This is a single occupation-specific task statement from O*NET. The figures below describe how central the task is to the job and what independent studies measure about AI and this kind of work — not a prediction that the task will be automated.
Work activities this task rolls up to
O*NET groups concrete tasks into broader work activities shared across many occupations.
AI exposure
The OpenAI / Eloundou “GPTs are GPTs” study rates this task E2. Exposure with tools — software built on top of a language model (not the model alone) could cut the time by at least half.
Exposure measures whether a model could meaningfully speed the task up — it is an estimate of overlap with model capabilities, not a measure of whether the work will be done by software. The study's intermediate score (β) for this task is 0.50. Automation potential label: T2.
How AI is actually used on this kind of task
The Anthropic Economic Index observes how people actually use AI on tasks like this one across millions of real conversations.
- 100% of interactions still needed a human in the loop
Observed AI use describes people choosing to use AI as a tool on this kind of task today. It is augmentation and assistance, not a measure of jobs replaced.
Other tasks in this occupation
- Evaluate practicality of repair as opposed to payment of market value of vehicle before accident. · importance 4.7
- Review repair cost estimates with automobile repair shop to secure agreement on cost of repairs. · importance 4.7
- Examine damaged vehicle to determine extent of structural, body, mechanical, electrical, or interior damage. · importance 4.7
- Prepare insurance forms to indicate repair cost estimates and recommendations. · importance 4.7
- Determine salvage value on total-loss vehicle. · importance 4.1
- Arrange to have damage appraised by another appraiser to resolve disagreement with shop on repair cost. · importance 3.4
See all tasks on the Insurance Appraisers, Auto Damage page.
Sources for this page
Every figure above traces to a named public dataset and the exact release below — not hand-written opinion. See the full methodology for what each measure does and does not mean.
- O*NET 30.3 U.S. Department of Labor / National Center for O*NET Development
- Anthropic Economic Index v4 (2026-01-15) + v2 (2025-03-27) Anthropic
- “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130 OpenAI / academic
Data compiled June 2, 2026. Figures are estimates, not advice.
Cite this page
Singulariki. "Estimate parts and labor to repair damage, using standard automotive labor and parts cost manuals and knowledge of automotive repair.." Singulariki: a source-backed encyclopedia of work. Built from O*NET 30.3; Anthropic Economic Index v4 (2026-01-15) + v2 (2025-03-27); “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130. Accessed June 7, 2026. https://singulariki.com/tasks/task-7246
Singulariki. (2026). Estimate parts and labor to repair damage, using standard automotive labor and parts cost manuals and knowledge of automotive repair.. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/tasks/task-7246
@misc{singulariki-task-7246,
title = {Estimate parts and labor to repair damage, using standard automotive labor and parts cost manuals and knowledge of automotive repair.},
author = {{Singulariki}},
year = {2026},
note = {O*NET 30.3; Anthropic Economic Index v4 (2026-01-15) + v2 (2025-03-27); “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130. Accessed June 7, 2026},
url = {https://singulariki.com/tasks/task-7246}
} Citations name the underlying public dataset releases — they reflect what this page is built from, not just the URL.