Classify materials according to standard systems.

Classify materials according to standard systems. is a detailed work activity in O*NET — a concrete unit of work shared across 5 occupations and seen in 6 occupation-specific tasks. It rolls up into the broader work activity Perform administrative or clerical activities. in Performing Administrative Activities .

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 6 tasks under this activity that the OpenAI / Eloundou “GPTs are GPTs” study rated, 6 (100%) 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 0.004% 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.

• Classify and assign registration numbers to artifacts and supervise inventory control. · Museum Technicians and Conservators · importance 4.3 · exposure with tools
• Catalogue and sort books and other print and non-print materials according to procedure and return them to shelves, files, or other designated storage areas. · Library Technicians · importance 4.0 · exposure with tools
• Code, classify, and catalog books, publications, films, audio-visual aids, and other library materials, based on subject matter or standard library classification systems. · Librarians and Media Collections Specialists · importance 3.9 · direct LLM exposure
• Review subject matter of materials to be classified and select classification numbers and headings according to classification systems. · Library Technicians · importance 3.7 · direct LLM exposure
• Assign the patient to diagnosis-related groups (DRGs), using appropriate computer software. · Medical Records Specialists · direct LLM exposure
• Assign the patient to diagnosis-related groups (DRGs), using appropriate computer software. · Health Information Technologists and Medical Registrars · direct LLM exposure

Occupations that perform this

• Museum Technicians and Conservators
• Library Technicians
• Librarians and Media Collections Specialists
• Medical Records Specialists
• Health Information Technologists and Medical Registrars

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.

@misc{singulariki-classify-materials-according-to-standard-systems,
  title  = {Classify materials according to standard systems.},
  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/classify-materials-according-to-standard-systems}
}