Review art or design materials.
Detailed work activity
Review art or design materials. is a detailed work activity in O*NET — a concrete unit of work shared across 5 occupations and seen in 7 occupation-specific tasks. It rolls up into the broader work activity Study details of artistic productions. in Getting Information .
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 7 tasks under this activity that the OpenAI / Eloundou “GPTs are GPTs” study rated, 6 (86%) are flagged as directly exposed to language models (E1) or exposed via model-powered tools (E2).
The Anthropic Economic Index observes real AI use on 1 of these tasks, with a mean mapped-usage share of 0.009% per task.
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.
- Review final layouts and suggest improvements, as needed. · Graphic Designers · importance 4.7 · exposure with tools
- Review sets of photographs to select the best work. · Photographers · importance 4.5 · exposure with tools
- Review and approve art materials, copy materials, and proofs of printed copy developed by staff members. · Art Directors · importance 4.2 · direct LLM exposure
- Study illustrations and photographs to plan presentation of materials, products, or services. · Graphic Designers · importance 4.1 · exposure with tools
- Review illustrative material to determine if it conforms to standards and specifications. · Art Directors · importance 4.0 · exposure with tools
- Check the appearance of costumes on stage or under lights to determine whether desired effects are being achieved. · Costume Attendants · importance 3.9 · exposure with tools
- Perform on-site field work which may involve interviewing people, inspecting and identifying artifacts, note-taking, viewing sites and collections, and repainting exhibition spaces. · Museum Technicians and Conservators · importance 3.2 · no direct exposure
Occupations that perform this
- Graphic Designers
- Photographers
- Art Directors
- Costume Attendants
- Museum Technicians and Conservators
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. "Review art or design materials.." 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/detailed-activities/review-art-or-design-materials
Singulariki. (2026). Review art or design materials.. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/detailed-activities/review-art-or-design-materials
@misc{singulariki-review-art-or-design-materials,
title = {Review art or design materials.},
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/detailed-activities/review-art-or-design-materials}
} Citations name the underlying public dataset releases — they reflect what this page is built from, not just the URL.