Evaluate technical data to determine effect on designs or plans.

Evaluate technical data to determine effect on designs or plans. 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 Evaluate designs, specifications, or other technical data. in Analyzing Data or 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 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).

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.

• Determine whether statistical methods are appropriate, based on user needs or research questions of interest. · Statisticians · importance 4.5 · direct LLM exposure
• Analyze building codes, by-laws, space and site requirements, and other technical documents and reports to determine their effect on architectural designs. · Architectural and Civil Drafters · importance 4.3 · exposure with tools
• Evaluate technical specifications and economic factors relating to process or product design objectives. · Materials Engineers · importance 4.1 · exposure with tools
• Analyze survey reports, maps, drawings, blueprints, aerial photography, or other topographical or geologic data. · Civil Engineers · importance 3.7 · exposure with tools
• Review development plans to determine potential traffic impact. · Transportation Engineers · importance 3.7 · exposure with tools
• Conduct automotive design reviews. · Automotive Engineers · importance 3.6 · exposure with tools

Occupations that perform this

• Statisticians
• Architectural and Civil Drafters
• Materials Engineers
• Civil Engineers
• Automotive Engineers

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
• “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130 OpenAI / academic

Data compiled June 2, 2026. Figures are estimates, not advice.

@misc{singulariki-evaluate-technical-data-to-determine-effect-on-designs-or-plans,
  title  = {Evaluate technical data to determine effect on designs or plans.},
  author = {{Singulariki}},
  year   = {2026},
  note   = {O*NET 30.3; “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130. Accessed June 7, 2026},
  url    = {https://singulariki.com/detailed-activities/evaluate-technical-data-to-determine-effect-on-designs-or-plans}
}