Identify or compare the component parts or relationships between the parts of industrial, social, and natural systems.

“Identify or compare the component parts or relationships between the parts of industrial, social, and natural systems.” is a core task performed by Industrial Ecologists. Among the occupation's 38 rated tasks, workers place it 15th by importance (#24 most important). About 100% of workers say it is relevant to their job.

This is a single occupation-specific task statement from O*NET. The figures below describe how central the task is to the job and what independent studies measure about AI and this kind of work — not a prediction that the task will be automated.

Work activities this task rolls up to

O*NET groups concrete tasks into broader work activities shared across many occupations.

• Investigate the environmental impact of industrial or development activities. in Getting Information

AI exposure

The OpenAI / Eloundou “GPTs are GPTs” study rates this task E2. Exposure with tools — software built on top of a language model (not the model alone) could cut the time by at least half.

Exposure measures whether a model could meaningfully speed the task up — it is an estimate of overlap with model capabilities, not a measure of whether the work will be done by software. The study's intermediate score (β) for this task is 0.50. Automation potential label: T1.

Other tasks in this occupation

• Identify environmental impacts caused by products, systems, or projects. · importance 4.4
• Identify or develop strategies or methods to minimize the environmental impact of industrial production processes. · importance 4.4
• Analyze changes designed to improve the environmental performance of complex systems and avoid unintended negative consequences. · importance 4.4
• Conduct environmental sustainability assessments, using material flow analysis (MFA) or substance flow analysis (SFA) techniques. · importance 4.2
• Identify sustainable alternatives to industrial or waste-management practices. · importance 4.2
• Review research literature to maintain knowledge on topics related to industrial ecology, such as physical science, technology, economy, and public policy. · importance 4.2
• Redesign linear, or open-loop, systems into cyclical, or closed-loop, systems so that waste products become inputs for new processes, modeling natural ecosystems. · importance 4.1
• Prepare technical and research reports, such as environmental impact reports, and communicate the results to individuals in industry, government, or the general public. · importance 4.0
• Monitor the environmental impact of development activities, pollution, or land degradation. · importance 3.9
• Examine local, regional, or global use and flow of materials or energy in industrial production processes. · importance 3.9
• Build and maintain databases of information about energy alternatives, pollutants, natural environments, industrial processes, and other information related to ecological change. · importance 3.9
• Perform analyses to determine how human behavior can affect, and be affected by, changes in the environment. · importance 3.9
• Recommend methods to protect the environment or minimize environmental damage from industrial production practices. · importance 3.8
• Translate the theories of industrial ecology into eco-industrial practices. · importance 3.7

See all tasks on the Industrial Ecologists page.

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
• “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130 OpenAI / academic

Data compiled June 2, 2026. Figures are estimates, not advice.

@misc{singulariki-task-19973,
  title  = {Identify or compare the component parts or relationships between the parts of industrial, social, and natural systems.},
  author = {{Singulariki}},
  year   = {2026},
  note   = {O*NET 30.3; “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130. Accessed June 7, 2026},
  url    = {https://singulariki.com/tasks/task-19973}
}