Take customer orders.

Take customer orders. is a detailed work activity in O*NET — a concrete unit of work shared across 6 occupations and seen in 9 occupation-specific tasks. It rolls up into the broader work activity Execute financial transactions. in Performing Administrative 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 9 tasks under this activity that the OpenAI / Eloundou “GPTs are GPTs” study rated, 3 (33%) 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 0.003% 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.

• Write patrons' food orders on order slips, memorize orders, or enter orders into computers for transmittal to kitchen staff. · Waiters and Waitresses · importance 4.8 · direct LLM exposure
• Take orders from patrons for food or beverages. · Waiters and Waitresses · importance 4.8 · no direct exposure
• Take beverage orders from serving staff or directly from patrons. · Bartenders · importance 4.6 · no direct exposure
• Take customer orders and convey them to other employees for preparation. · Baristas · importance 4.5 · no direct exposure
• Take food and drink orders and receive payment from customers. · Cooks, Fast Food · importance 4.5 · no direct exposure
• Request and record customer orders, and compute bills, using cash registers, multi-counting machines, or pencil and paper. · Fast Food and Counter Workers · importance 4.4 · exposure with tools
• Take orders from customers and cook foods requiring short preparation times, according to customer requirements. · Cooks, Short Order · importance 4.2 · no direct exposure
• Take and prepare to-go orders. · Hosts and Hostesses, Restaurant, Lounge, and Coffee Shop · importance 4.1 · no direct exposure
• Take customers' orders and write ordered items on tickets, giving ticket stubs to customers when needed to identify filled orders. · Fast Food and Counter Workers · importance 3.9 · direct LLM exposure

Occupations that perform this

• Waiters and Waitresses
• Bartenders
• Baristas
• Cooks, Fast Food
• Cooks, Short Order
• Hosts and Hostesses, Restaurant, Lounge, and Coffee Shop

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-take-customer-orders,
  title  = {Take customer orders.},
  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/take-customer-orders}
}