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Train customers in the use of products.

Detailed work activity

Train customers in the use of products. is a detailed work activity in O*NET — a concrete unit of work shared across 6 occupations and seen in 6 occupation-specific tasks. It rolls up into the broader work activity Train others to use equipment or products. in Training and Teaching Others .

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, 3 (50%) 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 0.002% 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.

Occupations that perform this

Exposure quadrant: AI task-overlap percentile vs Median pay AI task-overlap (horizontal) versus median pay (vertical), each as a percentile across all scored occupations, for 6 occupations in occupations that perform Train customers in the use of products.. Overlap measures shared tasks with AI, not automation. Lower overlap · higher pay Higher overlap · higher pay Higher overlap · lower pay Lower overlap · lower pay Outdoor Power Equipment and Other Small Engine Mechanics Wind Turbine Service Technicians Home Appliance Repairers Control and Valve Installers and Repairers, Except Mechanical Door Computer, Automated Teller, and Office Machine Repairers AI task-overlap percentile → ↑ Median pay
Occupations that perform Train customers in the use of products., by AI task-overlap and median pay

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.

Data compiled June 2, 2026. Figures are estimates, not advice.

Cite this page
Plain

Singulariki. "Train customers in the use of products.." Singulariki: a source-backed encyclopedia of work. Built from 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. https://singulariki.com/detailed-activities/train-customers-in-the-use-of-products

APA

Singulariki. (2026). Train customers in the use of products.. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/detailed-activities/train-customers-in-the-use-of-products

BibTeX
@misc{singulariki-train-customers-in-the-use-of-products,
  title  = {Train customers in the use of products.},
  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/train-customers-in-the-use-of-products}
}

Citations name the underlying public dataset releases — they reflect what this page is built from, not just the URL.