Compile operational data.

Compile operational data. is a detailed work activity in O*NET — a concrete unit of work shared across 11 occupations and seen in 12 occupation-specific tasks. It rolls up into the broader work activity Compile records, documentation, or other data. in Processing 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 12 tasks under this activity that the OpenAI / Eloundou “GPTs are GPTs” study rated, 12 (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 2 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.

• Develop and maintain log of surveillance observations. · Gambling Surveillance Officers and Gambling Investigators · importance 4.7 · direct LLM exposure
• Collect and record growth, production, and environmental data. · Farmers, Ranchers, and Other Agricultural Managers · importance 4.5 · exposure with tools
• Prepare and file annual tax returns or prepare financial information so that outside accountants can complete tax returns. · Treasurers and Controllers · importance 4.5 · exposure with tools
• Direct the compilation of summary sheets that show wager amounts and payoffs for races or events. · Gambling Managers · importance 4.3 · direct LLM exposure
• Compile information about flights from flight plans, pilot reports, radar, or observations. · Air Traffic Controllers · importance 4.3 · exposure with tools
• Gather and compile data from hand count sheets, machine count tapes, or radar speed checks and code data for computer input. · Traffic Technicians · importance 4.0 · direct LLM exposure
• Compile and record operational data on forms or in log books. · Biomass Power Plant Managers · importance 3.9 · direct LLM exposure
• Maintain records and compile statistical reports concerning personnel-related data such as hires, transfers, performance appraisals, and absenteeism rates. · Human Resources Managers · importance 3.8 · exposure with tools
• Compile lists describing product or service offerings. · Marketing Managers · importance 3.7 · direct LLM exposure
• Maintain records and compile statistical reports concerning personnel-related data, such as hires, transfers, performance appraisals, and absenteeism rates. · Compensation and Benefits Managers · importance 3.5 · exposure with tools
• Compile and maintain documentation on the health of a body of water. · Water Resource Specialists · importance 3.4 · exposure with tools
• Compile water resource data, using geographic information systems (GIS) or global position systems (GPS) software. · Water Resource Specialists · importance 3.4 · exposure with tools

Occupations that perform this

• Gambling Surveillance Officers and Gambling Investigators
• Treasurers and Controllers
• Farmers, Ranchers, and Other Agricultural Managers
• Gambling Managers
• Air Traffic Controllers
• Traffic Technicians
• Biomass Power Plant Managers
• Human Resources Managers
• Marketing Managers
• Compensation and Benefits Managers
• Water Resource Specialists

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-compile-operational-data,
  title  = {Compile operational 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/compile-operational-data}
}