Arrange facility schedules.

Arrange facility schedules. is a detailed work activity in O*NET — a concrete unit of work shared across 5 occupations and seen in 5 occupation-specific tasks. It rolls up into the broader work activity Prepare schedules for services or facilities. in Scheduling Work and Activities .

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 5 tasks under this activity that the OpenAI / Eloundou “GPTs are GPTs” study rated, 4 (80%) 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.

• Contact cemeteries to schedule the opening and closing of graves. · Morticians, Undertakers, and Funeral Arrangers · importance 4.7 · exposure with tools
• Coordinate facility schedules to maximize usage and efficiency. · Spa Managers · importance 4.4 · exposure with tools
• Open and close facilities according to rules and schedules. · Motion Picture Projectionists · importance 4.4 · no direct exposure
• Schedule maintenance and use of facilities. · Recreation Workers · importance 4.0 · exposure with tools
• Schedule the use of recreation facilities, such as golf courses, tennis courts, bowling alleys, or softball diamonds. · Amusement and Recreation Attendants · importance 3.0 · exposure with tools

Occupations that perform this

• Morticians, Undertakers, and Funeral Arrangers
• Spa Managers
• Motion Picture Projectionists
• Recreation Workers
• Amusement and Recreation 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
• “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130 OpenAI / academic

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

@misc{singulariki-arrange-facility-schedules,
  title  = {Arrange facility schedules.},
  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/arrange-facility-schedules}
}