Troubleshoot issues with computer applications or systems.

Troubleshoot issues with computer applications or systems. is a detailed work activity in O*NET — a concrete unit of work shared across 11 occupations and seen in 13 occupation-specific tasks. It rolls up into the broader work activity Resolve computer problems. in Working with Computers .

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 13 tasks under this activity that the OpenAI / Eloundou “GPTs are GPTs” study rated, 12 (92%) 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 5 of these tasks, with a mean mapped-usage share of 0.637% 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.

• Identify, analyze, and document problems with program function, output, online screen, or content. · Software Quality Assurance Analysts and Testers · importance 4.7 · direct LLM exposure
• Observe the current system in operation, and gather and analyze information about each of the component problems, using a variety of sources. · Operations Research Analysts · importance 4.4 · exposure with tools
• Troubleshoot program and system malfunctions to restore normal functioning. · Computer Systems Analysts · importance 4.2 · direct LLM exposure
• Diagnose, troubleshoot, and resolve hardware, software, or other network and system problems, and replace defective components when necessary. · Network and Computer Systems Administrators · importance 4.1 · direct LLM exposure
• Troubleshoot network or connectivity problems for users or user groups. · Computer Network Support Specialists · importance 4.0 · exposure with tools
• Confer with users to discuss issues such as computer data access needs, security violations, and programming changes. · Information Security Analysts · importance 3.9 · direct LLM exposure
• Provide or coordinate troubleshooting support for data warehouses. · Data Warehousing Specialists · importance 3.9 · exposure with tools
• Provide user support by diagnosing network and device problems and implementing technical or procedural solutions. · Telecommunications Engineering Specialists · importance 3.8 · exposure with tools
• Troubleshoot security and network problems. · Information Security Engineers · importance 3.7 · direct LLM exposure
• Confer with users to analyze, configure, or troubleshoot applications. · Geographic Information Systems Technologists and Technicians · importance 3.7 · exposure with tools
• Perform routine system administrative functions, such as troubleshooting, back-ups, or upgrades. · Bioinformatics Technicians · importance 3.4 · direct LLM exposure
• Plan, install, repair, or troubleshoot telehealth technology applications or systems in homes. · Health Informatics Specialists · importance 2.8 · no direct exposure
• Identify problems uncovered by testing or customer feedback, and correct problems or refer problems to appropriate personnel for correction. · Web and Digital Interface Designers · direct LLM exposure

Occupations that perform this

• Software Quality Assurance Analysts and Testers
• Operations Research Analysts
• Computer Systems Analysts
• Network and Computer Systems Administrators
• Computer Network Support Specialists
• Information Security Analysts
• Data Warehousing Specialists
• Telecommunications Engineering Specialists
• Information Security Engineers
• Bioinformatics Technicians
• Web and Digital Interface Designers

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-troubleshoot-issues-with-computer-applications-or-systems,
  title  = {Troubleshoot issues with computer applications or 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/troubleshoot-issues-with-computer-applications-or-systems}
}