Collect archival data.

Collect archival data. is a detailed work activity in O*NET — a concrete unit of work shared across 8 occupations and seen in 10 occupation-specific tasks. It rolls up into the broader work activity Gather information from physical or electronic sources. 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 10 tasks under this activity that the OpenAI / Eloundou “GPTs are GPTs” study rated, 10 (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 4 of these tasks, with a mean mapped-usage share of 0.018% 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.

• Prepare archival records, such as document descriptions, to allow easy access to information. · Archivists · importance 4.7 · direct LLM exposure
• Gather historical data from sources such as archives, court records, diaries, news files, and photographs, as well as from books, pamphlets, and periodicals. · Historians · importance 4.2 · exposure with tools
• Obtain and study medical, psychological, social, and family histories by interviewing individuals, couples, or families and by reviewing records. · Clinical and Counseling Psychologists · importance 4.0 · exposure with tools
• Conduct internet-based and library research. · Social Science Research Assistants · importance 3.8 · exposure with tools
• Locate and obtain existing geographic information databases. · Geographers · importance 3.8 · exposure with tools
• Read and study reports in order to compile information and data for geological and geophysical prospecting. · Geological Technicians, Except Hydrologic Technicians · importance 3.7 · exposure with tools
• Collect detailed information on individuals for use in biographies. · Historians · importance 3.6 · exposure with tools
• Interview individuals, and research public databases in order to obtain information. · Geological Technicians, Except Hydrologic Technicians · importance 3.6 · exposure with tools
• Consult site reports, existing artifacts, and topographic maps to identify archeological sites. · Anthropologists and Archeologists · importance 3.5 · exposure with tools
• Track the flow of work forms, including in-house data flow or electronic forms transfer. · Clinical Data Managers · importance 3.5 · exposure with tools

Occupations that perform this

• Archivists
• Historians
• Clinical and Counseling Psychologists
• Social Science Research Assistants
• Geographers
• Geological Technicians, Except Hydrologic Technicians
• Anthropologists and Archeologists
• Clinical Data Managers

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-collect-archival-data,
  title  = {Collect archival data.},
  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/collect-archival-data}
}