Analyze data to determine project feasibility.

Analyze data to determine project feasibility. is a detailed work activity in O*NET — a concrete unit of work shared across 8 occupations and seen in 9 occupation-specific tasks. It rolls up into the broader work activity Evaluate project feasibility. in Judging the Qualities of Objects, Services, or People .

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 9 tasks under this activity that the OpenAI / Eloundou “GPTs are GPTs” study rated, 9 (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 1 of these tasks, with a mean mapped-usage share of 0.003% 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.

• Collect and evaluate data to determine community program needs. · Farm and Home Management Educators · importance 4.0 · exposure with tools
• Direct, review, or approve project design changes. · Architectural and Engineering Managers · importance 4.0 · exposure with tools
• Perform, or contract others to perform, pre-building assessments, such as conceptual cost estimating, rough order of magnitude estimating, feasibility, or energy efficiency, environmental, and sustainability assessments. · Construction Managers · importance 3.8 · exposure with tools
• Evaluate data processing proposals to assess project feasibility and requirements. · Computer and Information Systems Managers · importance 3.6 · exposure with tools
• Conduct cost-benefit studies for watershed improvement projects or water management alternatives. · Water Resource Specialists · importance 3.6 · exposure with tools
• Conduct cost, material, and efficiency studies for biofuels production plants or operations. · Biofuels Production Managers · importance 3.6 · exposure with tools
• Evaluate and approve proposals for sustainability projects, considering factors such as cost effectiveness, technical feasibility, and integration with other initiatives. · Chief Sustainability Officers · importance 3.5 · exposure with tools
• Conduct feasibility or cost-benefit studies for environmental remediation projects. · Brownfield Redevelopment Specialists and Site Managers · importance 3.5 · exposure with tools
• Assess project feasibility by analyzing technology, resource needs, or market demand. · Architectural and Engineering Managers · importance 3.4 · exposure with tools

Occupations that perform this

• Farm and Home Management Educators
• Architectural and Engineering Managers
• Construction Managers
• Computer and Information Systems Managers
• Water Resource Specialists
• Biofuels Production Managers
• Chief Sustainability Officers
• Brownfield Redevelopment Specialists and Site 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-analyze-data-to-determine-project-feasibility,
  title  = {Analyze data to determine project feasibility.},
  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/analyze-data-to-determine-project-feasibility}
}