Record personnel information.

Record personnel information. is a detailed work activity in O*NET — a concrete unit of work shared across 6 occupations and seen in 11 occupation-specific tasks. It rolls up into the broader work activity Maintain operational records. in Documenting/Recording 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 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 3 of these tasks, with a mean mapped-usage share of 0.002% 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.

• Process paperwork for new employees and enter employee information into the payroll system. · Payroll and Timekeeping Clerks · importance 4.7 · direct LLM exposure
• Issue and record adjustments to pay related to previous errors or retroactive increases. · Payroll and Timekeeping Clerks · importance 4.5 · direct LLM exposure
• Record employee information, such as exemptions, transfers, and resignations, to maintain and update payroll records. · Payroll and Timekeeping Clerks · importance 4.5 · direct LLM exposure
• Keep track of leave time, such as vacation, personal, and sick leave, for employees. · Payroll and Timekeeping Clerks · importance 4.4 · direct LLM exposure
• Complete time sheets showing employees' arrival and departure times. · Payroll and Timekeeping Clerks · importance 4.3 · direct LLM exposure
• Process, verify, and maintain personnel related documentation, including staffing, recruitment, training, grievances, performance evaluations, classifications, and employee leaves of absence. · Human Resources Assistants, Except Payroll and Timekeeping · importance 4.1 · exposure with tools
• Record data for each employee, including such information as addresses, weekly earnings, absences, amount of sales or production, supervisory reports on performance, and dates of and reasons for terminations. · Human Resources Assistants, Except Payroll and Timekeeping · importance 4.1 · direct LLM exposure
• Set up and manage paper or electronic filing systems, recording information, updating paperwork, or maintaining documents, such as attendance records, correspondence, or other material. · Secretaries and Administrative Assistants, Except Legal, Medical, and Executive · importance 4.0 · direct LLM exposure
• Keep a current record of staff members' whereabouts and availability. · Receptionists and Information Clerks · importance 3.9 · exposure with tools
• Compile and prepare documentation related to production sequences, transportation, personnel schedules, or purchase, maintenance, or repair orders. · Production, Planning, and Expediting Clerks · importance 3.7 · exposure with tools
• Maintain records pertaining to inventory, personnel, orders, supplies, or machine maintenance. · First-Line Supervisors of Office and Administrative Support Workers · importance 3.7 · exposure with tools

Occupations that perform this

• Payroll and Timekeeping Clerks
• Human Resources Assistants, Except Payroll and Timekeeping
• Secretaries and Administrative Assistants, Except Legal, Medical, and Executive
• Receptionists and Information Clerks
• First-Line Supervisors of Office and Administrative Support Workers
• Production, Planning, and Expediting Clerks

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-record-personnel-information,
  title  = {Record personnel information.},
  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/record-personnel-information}
}