Balance receipts.

Balance receipts. 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 Reconcile financial data. in Processing Information .

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, 3 (60%) 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.

• Balance cash receipts. · Bartenders · importance 4.7 · direct LLM exposure
• Compile and balance cash receipts at the end of the day or shift. · First-Line Supervisors of Food Preparation and Serving Workers · importance 4.5 · exposure with tools
• Balance receipts and payments in cash registers. · Fast Food and Counter Workers · importance 4.3 · no direct exposure
• Perform cash handling tasks, such as making change, balancing and recording cash drawer, or distributing tips. · Parking Attendants · importance 4.1 · no direct exposure
• Count cash and review transactions, sales checks, or register tapes to verify amounts or to identify shortages. · Private Detectives and Investigators · importance 3.7 · exposure with tools

Occupations that perform this

• Bartenders
• First-Line Supervisors of Food Preparation and Serving Workers
• Fast Food and Counter Workers
• Parking Attendants
• Private Detectives and Investigators

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-balance-receipts,
  title  = {Balance receipts.},
  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/balance-receipts}
}