Collect data about project sites.

Collect data about project sites. is a detailed work activity in O*NET — a concrete unit of work shared across 9 occupations and seen in 10 occupation-specific tasks. It rolls up into the broader work activity Gather data about operational or development activities. 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 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.

• Conduct engineering site audits to collect structural, electrical, and related site information for use in the design of residential or commercial solar power systems. · Solar Energy Systems Engineers · importance 4.5 · exposure with tools
• Measure factors that affect installation and arrangement of equipment, such as distances to be spanned by wire and cable. · Electrical and Electronics Drafters · importance 4.1 · exposure with tools
• Determine traffic areas and decide location of seams. · Floor Layers, Except Carpet, Wood, and Hard Tiles · importance 3.9 · no direct exposure
• Collect data about existing client hardware, software, networking, or key business processes to inform implementation of radio frequency identification device (RFID) technology. · Radio Frequency Identification Device Specialists · importance 3.8 · exposure with tools
• Collect data relating to commercial or residential development, population, or power system interconnection to determine operating efficiency of electrical systems. · Electrical Engineers · importance 3.7 · exposure with tools
• Visit proposed installation sites and draw rough sketches of location. · Electrical and Electronics Drafters · importance 3.7 · exposure with tools
• Obtain and assemble data to complete architectural designs, visiting job sites to compile measurements as necessary. · Architectural and Civil Drafters · importance 3.5 · exposure with tools
• Visit site and record information about access, drainage and topography, and availability of utility services. · Cost Estimators · importance 3.3 · exposure with tools
• Identify possible sites for carbon sequestration projects. · Geoscientists, Except Hydrologists and Geographers · importance 3.1 · exposure with tools
• Investigate complaints or conflicts related to the alteration of public waters, gathering information, recommending alternatives, informing participants of progress, and preparing draft orders. · Hydrologists · importance 3.0 · exposure with tools

Occupations that perform this

• Solar Energy Systems Engineers
• Electrical and Electronics Drafters
• Floor Layers, Except Carpet, Wood, and Hard Tiles
• Radio Frequency Identification Device Specialists
• Electrical Engineers
• Architectural and Civil Drafters
• Cost Estimators
• Geoscientists, Except Hydrologists and Geographers
• Hydrologists

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-data-about-project-sites,
  title  = {Collect data about project sites.},
  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-data-about-project-sites}
}