Paint surfaces or equipment.
Detailed work activity
Paint surfaces or equipment. is a detailed work activity in O*NET — a concrete unit of work shared across 7 occupations and seen in 8 occupation-specific tasks. It rolls up into the broader work activity Apply protective solutions or coatings. in Handling and Moving Objects .
Detailed work activities are the most granular shared layer in O*NET's work-activity hierarchy (Generalized → Intermediate → Detailed → occupation-specific task). The figures below describe how this activity shows up across the economy and what independent studies measure about AI and this kind of work — not a prediction that the work will be automated.
AI exposure
Of the 8 tasks under this activity that the OpenAI / Eloundou “GPTs are GPTs” study rated, 0 (0%) are flagged as directly exposed to language models (E1) or exposed via model-powered tools (E2).
Exposure estimates overlap with model capabilities — whether a model could speed the task up — not whether the work will be done by software. Observed AI use is augmentation and assistance today, not jobs replaced.
Member tasks
Occupation-specific tasks O*NET maps to this detailed work activity, most important first.
- Prime all scratches on pinchwelds with primer and allow to dry. · Automotive Glass Installers and Repairers · importance 4.9 · no direct exposure
- Remove all dirt, foreign matter, and loose glass from damaged areas, apply primer along windshield or window edges, and allow primer to dry. · Automotive Glass Installers and Repairers · importance 4.8 · no direct exposure
- Prime and paint repaired surfaces, using paint sprayguns and motorized sanders. · Automotive Body and Related Repairers · importance 4.4 · no direct exposure
- Perform routine maintenance on equipment, including adjusting and lubricating components and painting worn or exposed areas. · Telecommunications Equipment Installers and Repairers, Except Line Installers · importance 3.5 · no direct exposure
- Paint or varnish decks, superstructures, lifeboats, or sides of ships. · Sailors and Marine Oilers · importance 3.4 · no direct exposure
- Paint car exteriors, interiors, and fixtures. · Rail Car Repairers · importance 3.3 · no direct exposure
- Paint or repair roofs, windows, doors, floors, woodwork, plaster, drywall, or other parts of building structures. · Maintenance and Repair Workers, General · importance 3.1 · no direct exposure
- Prepare and paint aircraft surfaces. · Aircraft Mechanics and Service Technicians · importance 3.0 · no direct exposure
Occupations that perform this
- Automotive Glass Installers and Repairers
- Automotive Body and Related Repairers
- Telecommunications Equipment Installers and Repairers, Except Line Installers
- Sailors and Marine Oilers
- Rail Car Repairers
- Maintenance and Repair Workers, General
- Aircraft Mechanics and Service Technicians
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
- “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. "Paint surfaces or equipment.." Singulariki: a source-backed encyclopedia of work. Built from O*NET 30.3; “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130. Accessed June 7, 2026. https://singulariki.com/detailed-activities/paint-surfaces-or-equipment
Singulariki. (2026). Paint surfaces or equipment.. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/detailed-activities/paint-surfaces-or-equipment
@misc{singulariki-paint-surfaces-or-equipment,
title = {Paint surfaces or equipment.},
author = {{Singulariki}},
year = {2026},
note = {O*NET 30.3; “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130. Accessed June 7, 2026},
url = {https://singulariki.com/detailed-activities/paint-surfaces-or-equipment}
} Citations name the underlying public dataset releases — they reflect what this page is built from, not just the URL.