Evaluate capabilities or training needs.
Detailed work activity
Evaluate capabilities or training needs. is a detailed work activity in O*NET — a concrete unit of work shared across 6 occupations and seen in 8 occupation-specific tasks. It rolls up into the broader work activity Evaluate personnel capabilities or performance. in Judging the Qualities of Objects, Services, or People .
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 8 tasks under this activity that the OpenAI / Eloundou “GPTs are GPTs” study rated, 4 (50%) 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.
- Observe participants and inform them of corrective measures necessary for skill improvement. · Exercise Trainers and Group Fitness Instructors · importance 4.9 · no direct exposure
- Evaluate individuals' abilities, needs, and physical conditions, and develop suitable training programs to meet any special requirements. · Exercise Trainers and Group Fitness Instructors · importance 4.5 · no direct exposure
- Evaluate animals to determine their temperaments, abilities, or aptitude for training. · Animal Trainers · importance 4.3 · no direct exposure
- Administer tests to assess whether engineers or operators are qualified to use equipment. · Inspectors, Testers, Sorters, Samplers, and Weighers · importance 4.1 · exposure with tools
- Evaluate animals for trainability and ability to perform. · Animal Trainers · importance 4.0 · no direct exposure
- Identify training and development needs. · Industrial-Organizational Psychologists · importance 4.0 · exposure with tools
- Identify skill development needs for funeral home staff. · Funeral Home Managers · importance 3.6 · exposure with tools
- Identify educational, training, or other development opportunities for sustainability employees or volunteers. · Chief Sustainability Officers · importance 3.2 · exposure with tools
Occupations that perform this
- Exercise Trainers and Group Fitness Instructors
- Animal Trainers
- Inspectors, Testers, Sorters, Samplers, and Weighers
- Industrial-Organizational Psychologists
- Funeral Home Managers
- Chief Sustainability Officers
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. "Evaluate capabilities or training needs.." 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/evaluate-capabilities-or-training-needs
Singulariki. (2026). Evaluate capabilities or training needs.. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/detailed-activities/evaluate-capabilities-or-training-needs
@misc{singulariki-evaluate-capabilities-or-training-needs,
title = {Evaluate capabilities or training needs.},
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/evaluate-capabilities-or-training-needs}
} Citations name the underlying public dataset releases — they reflect what this page is built from, not just the URL.