Investigate personal characteristics or activities of individuals.
Detailed work activity
Investigate personal characteristics or activities of individuals. is a detailed work activity in O*NET — a concrete unit of work shared across 4 occupations and seen in 6 occupation-specific tasks. It rolls up into the broader work activity Investigate individuals' background, behavior, or activities. in Getting 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 6 tasks under this activity that the OpenAI / Eloundou “GPTs are GPTs” study rated, 5 (83%) 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.
- Conduct private investigations on a paid basis. · Private Detectives and Investigators · importance 4.5 · exposure with tools
- Conduct personal background investigations, such as pre-employment checks, to obtain information about an individual's character, financial status, or personal history. · Private Detectives and Investigators · importance 4.4 · exposure with tools
- Conduct employee background investigations and review reports with operational or human resources managers. · Retail Loss Prevention Specialists · importance 3.9 · exposure with tools
- Investigate claimants for the possibility of fraud or abuse. · Eligibility Interviewers, Government Programs · importance 3.9 · exposure with tools
- Perform undercover operations, such as evaluating the performance or honesty of employees by posing as customers or employees. · Private Detectives and Investigators · importance 3.9 · no direct exposure
- Research and study players and teams to anticipate issues that might arise in future engagements. · Umpires, Referees, and Other Sports Officials · importance 2.9 · exposure with tools
Occupations that perform this
- Private Detectives and Investigators
- Retail Loss Prevention Specialists
- Eligibility Interviewers, Government Programs
- Umpires, Referees, and Other Sports Officials
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.
Cite this page
Singulariki. "Investigate personal characteristics or activities of individuals.." Singulariki: a source-backed encyclopedia of work. Built from O*NET 30.3; “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130. Accessed June 7, 2026. https://singulariki.com/detailed-activities/investigate-personal-characteristics-or-activities-of-individuals
Singulariki. (2026). Investigate personal characteristics or activities of individuals.. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/detailed-activities/investigate-personal-characteristics-or-activities-of-individuals
@misc{singulariki-investigate-personal-characteristics-or-activities-of-individuals,
title = {Investigate personal characteristics or activities of individuals.},
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/investigate-personal-characteristics-or-activities-of-individuals}
} Citations name the underlying public dataset releases — they reflect what this page is built from, not just the URL.