Set up material handling gear or equipment, such as rigging, packaging, or temporary structures.

Set up material handling gear or equipment, such as rigging, packaging, or temporary structures. is a detailed work activity in O*NET — a concrete unit of work shared across 3 occupations and seen in 4 occupation-specific tasks. It rolls up into the broader work activity Set up equipment. in Handling and Moving Objects .

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 4 tasks under this activity that the OpenAI / Eloundou “GPTs are GPTs” study rated, 0 (0%) 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.

• Seal containers or materials, using glues, fasteners, nails, and hand tools. · Packers and Packagers, Hand · importance 4.2 · no direct exposure
• Assemble, line, and pad cartons, crates, and containers, using hand tools. · Packers and Packagers, Hand · importance 4.1 · no direct exposure
• Break out, rig, and stow cargo-handling gear, stationary rigging, or running gear. · Sailors and Marine Oilers · importance 4.0 · no direct exposure
• Set up scaffolding or cranes to assist with setting up of lighting equipment. · Lighting Technicians · no direct exposure

Occupations that perform this

• Packers and Packagers, Hand
• Sailors and Marine Oilers
• Lighting Technicians

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-set-up-material-handling-gear-or-equipment-such-as-rigging-packaging-or-temporary-structures,
  title  = {Set up material handling gear or equipment, such as rigging, packaging, or temporary structures.},
  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/set-up-material-handling-gear-or-equipment-such-as-rigging-packaging-or-temporary-structures}
}