Recommend changes to improve computer or information systems.
Detailed work activity
Recommend changes to improve computer or information systems. is a detailed work activity in O*NET — a concrete unit of work shared across 9 occupations and seen in 23 occupation-specific tasks. It rolls up into the broader work activity Advise others on the design or use of technologies. in Providing Consultation and Advice to 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 23 tasks under this activity that the OpenAI / Eloundou “GPTs are GPTs” study rated, 23 (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 11 of these tasks, with a mean mapped-usage share of 0.062% 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.
- Correct testing-identified problems, or recommend actions for their resolution. · Web Administrators · importance 4.5 · direct LLM exposure
- Develop or recommend network security measures, such as firewalls, network security audits, or automated security probes. · Computer Network Architects · importance 4.3 · direct LLM exposure
- Provide feedback and recommendations to developers on software usability and functionality. · Software Quality Assurance Analysts and Testers · importance 4.3 · direct LLM exposure
- Investigate system component suitability for specified purposes, and make recommendations regarding component use. · Computer Systems Engineers/Architects · importance 4.2 · direct LLM exposure
- Recommend information security enhancements to management. · Information Security Engineers · importance 3.9 · exposure with tools
- Recommend Web site improvements, and develop budgets to support recommendations. · Web Administrators · importance 3.9 · exposure with tools
- Evaluate existing systems to determine effectiveness, and suggest changes to meet organizational requirements. · Computer Systems Engineers/Architects · importance 3.7 · exposure with tools
- Evaluate processes and technologies, and suggest revisions to increase productivity and efficiency. · Clinical Data Managers · importance 3.7 · exposure with tools
- Identify program deviance from standards, and suggest modifications to ensure compliance. · Software Quality Assurance Analysts and Testers · importance 3.7 · direct LLM exposure
- Propose recommendations for improving content management system capabilities. · Document Management Specialists · importance 3.6 · exposure with tools
- Recommend changes to improve systems and network configurations, and determine hardware or software requirements related to such changes. · Network and Computer Systems Administrators · importance 3.6 · direct LLM exposure
- Make recommendations regarding upgrades, considering implications of new or revised Geographic Information Systems (GIS) software, equipment, or applications. · Geographic Information Systems Technologists and Technicians · importance 3.5 · exposure with tools
- Evaluate new emerging media or technologies and make recommendations for their application within Internet marketing or search marketing campaigns. · Search Marketing Strategists · importance 3.5 · exposure with tools
- Provide advice on project costs, design concepts, or design changes. · Computer Systems Engineers/Architects · importance 3.5 · exposure with tools
- Prepare evaluations of software or hardware, and recommend improvements or upgrades. · Computer User Support Specialists · importance 3.4 · direct LLM exposure
- Recommend and implement performance improvements. · Web Developers · importance 3.4 · direct LLM exposure
- Collaborate with field staff or customers to evaluate or diagnose problems and recommend possible solutions. · Software Quality Assurance Analysts and Testers · importance 3.3 · exposure with tools
- Evaluate or recommend software for testing or bug tracking. · Software Quality Assurance Analysts and Testers · importance 3.3 · direct LLM exposure
- Research new technologies by attending seminars, reading trade articles, or taking classes, and implement or recommend the implementation of new technologies. · Network and Computer Systems Administrators · importance 3.0 · exposure with tools
- Evaluate and recommend upgrades or improvements to existing computerized healthcare systems. · Health Information Technologists and Medical Registrars · exposure with tools
- Recommend cyber defense software or hardware to support responses to cyber incidents. · Digital Forensics Analysts · exposure with tools
- Recommend procedures, equipment, or software upgrades to increase data accessibility or ease of use. · Geographic Information Systems Technologists and Technicians · exposure with tools
- Write cyber defense recommendations, reports, or white papers using research or experience. · Digital Forensics Analysts · direct LLM exposure
Occupations that perform this
- Web Administrators
- Computer Network Architects
- Software Quality Assurance Analysts and Testers
- Clinical Data Managers
- Network and Computer Systems Administrators
- Search Marketing Strategists
- Computer User Support Specialists
- Web Developers
- Health Information Technologists and Medical Registrars
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. "Recommend changes to improve 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/recommend-changes-to-improve-computer-or-information-systems
Singulariki. (2026). Recommend changes to improve computer or information systems.. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/detailed-activities/recommend-changes-to-improve-computer-or-information-systems
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title = {Recommend changes to improve 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/recommend-changes-to-improve-computer-or-information-systems}
} Citations name the underlying public dataset releases — they reflect what this page is built from, not just the URL.