Read documents to gather technical information.

Read documents to gather technical information. 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 Read documents or materials to inform work processes. 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, 9 (90%) 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 0.210% 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 or review reports, manuscripts, or meeting presentations. · Molecular and Cellular Biologists · importance 4.2 · direct LLM exposure
• Read search requests to ascertain types of title evidence required and to obtain descriptions of properties and names of involved parties. · Title Examiners, Abstractors, and Searchers · importance 4.2 · direct LLM exposure
• Read technical manuals, confer with users, or conduct computer diagnostics to investigate and resolve problems or to provide technical assistance and support. · Computer User Support Specialists · importance 3.9 · direct LLM exposure
• Review security assessments for computing environments or check for compliance with cybersecurity standards and regulations. · Information Security Engineers · importance 3.8 · exposure with tools
• Perform initial debugging procedures by reviewing configuration files, logs, or code pieces to determine breakdown source. · Software Quality Assurance Analysts and Testers · importance 3.7 · direct LLM exposure
• Inspect equipment and read order sheets to prepare for delivery to users. · Computer User Support Specialists · importance 3.2 · no direct exposure
• Read manuals, periodicals, and technical reports to learn how to develop programs that meet staff and user requirements. · Computer Systems Analysts · importance 3.2 · direct LLM exposure
• Review procedures in database management system manuals to make changes to database. · Database Administrators · importance 3.0 · direct LLM exposure
• Review workflow charts developed by programmer analyst to understand tasks computer will perform, such as updating records. · Database Administrators · importance 2.8 · direct LLM exposure
• Read through contracts, regulations, and procedural guidelines to ensure comprehension and compliance. · Administrative Services Managers · exposure with tools

Occupations that perform this

• Molecular and Cellular Biologists
• Title Examiners, Abstractors, and Searchers
• Computer User Support Specialists
• Information Security Engineers
• Software Quality Assurance Analysts and Testers
• Computer Systems Analysts
• Database Administrators
• Administrative Services 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-read-documents-to-gather-technical-information,
  title  = {Read documents to gather technical information.},
  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/read-documents-to-gather-technical-information}
}