Investigate system, equipment, or product failures.
Detailed work activity
Investigate system, equipment, or product failures. is a detailed work activity in O*NET — a concrete unit of work shared across 7 occupations and seen in 7 occupation-specific tasks. It rolls up into the broader work activity Investigate organizational or operational problems. in Getting Information .
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 7 tasks under this activity that the OpenAI / Eloundou “GPTs are GPTs” study rated, 5 (71%) 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 1 of these tasks, with a mean mapped-usage share of 0.006% 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.
- Investigate hazardous conditions or spills or outbreaks of disease or food poisoning, collecting samples for analysis. · Environmental Science and Protection Technicians, Including Health · importance 4.1 · no direct exposure
- Maintain process parameters and evaluate process anomalies. · Environmental Engineering Technologists and Technicians · importance 3.9 · exposure with tools
- Diagnose performance problems by reviewing reports or documentation from customers or field engineers or by inspecting malfunctioning or damaged products. · Aerospace Engineers · importance 3.8 · exposure with tools
- Investigate equipment failures or difficulties to diagnose faulty operation and recommend remedial actions. · Mechanical Engineers · importance 3.8 · exposure with tools
- Investigate mechanical failures or unexpected maintenance problems. · Robotics Engineers · importance 3.7 · no direct exposure
- Investigate customer or public complaints to determine the nature and extent of problems. · Electrical Engineers · importance 3.6 · exposure with tools
- Recommend adjudication of product complaints. · Regulatory Affairs Specialists · importance 3.2 · exposure with tools
Occupations that perform this
- Environmental Science and Protection Technicians, Including Health
- Environmental Engineering Technologists and Technicians
- Aerospace Engineers
- Mechanical Engineers
- Robotics Engineers
- Electrical Engineers
- Regulatory Affairs Specialists
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. "Investigate system, equipment, or product failures.." 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/investigate-system-equipment-or-product-failures
Singulariki. (2026). Investigate system, equipment, or product failures.. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/detailed-activities/investigate-system-equipment-or-product-failures
@misc{singulariki-investigate-system-equipment-or-product-failures,
title = {Investigate system, equipment, or product failures.},
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/investigate-system-equipment-or-product-failures}
} Citations name the underlying public dataset releases — they reflect what this page is built from, not just the URL.