Determine resource needs.

Determine resource needs. is a detailed work activity in O*NET — a concrete unit of work shared across 11 occupations and seen in 11 occupation-specific tasks. It rolls up into the broader work activity Determine resource needs of projects or operations. in Making Decisions and Solving Problems .

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 11 tasks under this activity that the OpenAI / Eloundou “GPTs are GPTs” study rated, 11 (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 0.008% 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.

• Evaluate needs for procurement of funds and investment of surpluses and make appropriate recommendations. · Treasurers and Controllers · importance 4.5 · exposure with tools
• Assess staffing needs and recruit staff, using methods such as newspaper advertisements or attendance at job fairs. · Food Service Managers · importance 4.2 · exposure with tools
• Forecast necessary levels of staffing and stock at different times to facilitate effective scheduling and ordering. · First-Line Supervisors of Housekeeping and Janitorial Workers · importance 4.2 · exposure with tools
• Determine the scope of educational program offerings and prepare drafts of program schedules and descriptions to estimate staffing and facility requirements. · Education and Childcare Administrators, Preschool and Daycare · importance 4.1 · exposure with tools
• Determine how to allocate resources and to respond to unanticipated problems, such as insect infestation, drought, and fire. · Farmers, Ranchers, and Other Agricultural Managers · importance 4.1 · exposure with tools
• Assess security needs across locations to ensure proper deployment of loss prevention resources, such as staff and technology. · Loss Prevention Managers · importance 3.9 · exposure with tools
• Compute or estimate cash, payroll, transportation, personnel, or storage requirements. · First-Line Supervisors of Material-Moving Machine and Vehicle Operators · importance 3.8 · exposure with tools
• Review contracts or work assignments to determine service, machine, or workforce requirements for jobs. · First-Line Supervisors of Landscaping, Lawn Service, and Groundskeeping Workers · importance 3.7 · direct LLM exposure
• Evaluate the organization's technology use and needs and recommend improvements, such as hardware and software upgrades. · Computer and Information Systems Managers · importance 3.7 · exposure with tools
• Recommend locations for new facilities, or oversee the remodeling or renovating of current facilities. · General and Operations Managers · importance 2.8 · exposure with tools
• Compute or estimate cash, payroll, transportation, or personnel requirements. · First-Line Supervisors of Passenger Attendants · exposure with tools

Occupations that perform this

• Treasurers and Controllers
• Food Service Managers
• First-Line Supervisors of Housekeeping and Janitorial Workers
• Education and Childcare Administrators, Preschool and Daycare
• Farmers, Ranchers, and Other Agricultural Managers
• Loss Prevention Managers
• First-Line Supervisors of Material-Moving Machine and Vehicle Operators
• First-Line Supervisors of Landscaping, Lawn Service, and Groundskeeping Workers
• Computer and Information Systems Managers
• General and Operations Managers
• First-Line Supervisors of Passenger Attendants

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-determine-resource-needs,
  title  = {Determine resource needs.},
  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/determine-resource-needs}
}