Train others in computer interface or software use.

Train others in computer interface or software use. is a detailed work activity in O*NET — a concrete unit of work shared across 12 occupations and seen in 16 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 16 tasks under this activity that the OpenAI / Eloundou “GPTs are GPTs” study rated, 15 (94%) 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 0.003% 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.

• Train users and promote security awareness to ensure system security and to improve server and network efficiency. · Information Security Analysts · importance 3.8 · exposure with tools
• Develop or deliver training programs for health information technology, creating operating manuals as needed. · Health Informatics Specialists · importance 3.7 · exposure with tools
• Provide training or technical assistance in Web site implementation or use. · Web Administrators · importance 3.6 · direct LLM exposure
• Train users in procedures related to network applications software or related systems. · Computer Network Support Specialists · importance 3.6 · exposure with tools
• Train users and answer questions. · Database Administrators · importance 3.6 · exposure with tools
• Train subordinates in programming and program coding. · Computer Programmers · importance 3.5 · direct LLM exposure
• Train staff and users to work with computer systems and programs. · Computer Systems Analysts · importance 3.4 · exposure with tools
• Train people in computer system use. · Network and Computer Systems Administrators · importance 3.3 · exposure with tools
• Develop training materials and procedures, or train users in the proper use of hardware or software. · Computer User Support Specialists · importance 3.3 · exposure with tools
• Train system users in system operation or maintenance. · Computer Systems Engineers/Architects · importance 3.3 · exposure with tools
• Teach graduate or continuing education courses or seminars in biostatistics. · Biostatisticians · importance 3.3 · exposure with tools
• Prepare training materials for, or make presentations to, Geographic Information Systems (GIS) users. · Geographic Information Systems Technologists and Technicians · importance 3.2 · exposure with tools
• Train staff on technical procedures or software program usage. · Clinical Data Managers · importance 3.1 · exposure with tools
• Train users on the use and function of computer programs. · Computer Programmers · importance 3.0 · exposure with tools
• Participate in staffing decisions and direct training of subordinates. · Computer and Information Research Scientists · importance 3.0 · no direct exposure
• Train users and answer questions. · Database Architects · importance 2.5 · exposure with tools

Occupations that perform this

• Information Security Analysts
• Health Informatics Specialists
• Web Administrators
• Computer Network Support Specialists
• Database Administrators
• Computer Programmers
• Network and Computer Systems Administrators
• Computer User Support Specialists
• Biostatisticians
• Clinical Data Managers
• Computer and Information Research Scientists
• Database Architects

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-train-others-in-computer-interface-or-software-use,
  title  = {Train others in computer interface or software use.},
  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-others-in-computer-interface-or-software-use}
}