Develop computer or information systems.
Detailed work activity
Develop computer or information systems. 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 Design computer or information systems or applications. in Thinking Creatively .
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, 6 (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 0.014% 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.
- Develop and maintain computerized record management systems to store and process data, such as personnel activities and information, and to produce reports. · Medical and Health Services Managers · importance 4.3 · exposure with tools
- Manage backup, security and user help systems. · Computer and Information Systems Managers · importance 4.2 · exposure with tools
- Develop computer information resources, providing for data security and control, strategic computing, and disaster recovery. · Computer and Information Systems Managers · importance 3.9 · exposure with tools
- Verify that software technology is in place to adequately provide oversight and monitoring in all required areas. · Compliance Managers · importance 3.4 · exposure with tools
- Maintain databases such as bad check logs, reports on multiple offenders, and alarm activation lists. · Loss Prevention Managers · importance 2.8 · direct LLM exposure
- Configure information systems to incorporate principles of least functionality and least access. · Penetration Testers · direct LLM exposure
Occupations that perform this
- Medical and Health Services Managers
- Computer and Information Systems Managers
- Compliance Managers
- Penetration Testers
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.
Cite this page
Singulariki. "Develop computer or information systems.." 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/develop-computer-or-information-systems
Singulariki. (2026). Develop computer or information systems.. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/detailed-activities/develop-computer-or-information-systems
@misc{singulariki-develop-computer-or-information-systems,
title = {Develop computer or information systems.},
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/develop-computer-or-information-systems}
} Citations name the underlying public dataset releases — they reflect what this page is built from, not just the URL.