Design systems to reduce harmful emissions.

Design systems to reduce harmful emissions. is a detailed work activity in O*NET — a concrete unit of work shared across 3 occupations and seen in 4 occupation-specific tasks. It rolls up into the broader work activity Develop systems or practices to mitigate or resolve environmental problems. 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 4 tasks under this activity that the OpenAI / Eloundou “GPTs are GPTs” study rated, 4 (100%) are flagged as directly exposed to language models (E1) or exposed via model-powered tools (E2).

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.

• Design or engineer systems to efficiently dispose of chemical, biological, or other toxic wastes. · Civil Engineers · importance 2.6 · exposure with tools
• Design new or modify existing aerospace systems to reduce polluting emissions, such as nitrogen oxide, carbon monoxide, or smoke emissions. · Aerospace Engineers · importance 2.3 · exposure with tools
• Design or develop industrial air quality microsystems, such as carbon dioxide fixing devices. · Microsystems Engineers · direct LLM exposure
• Design or engineer filtration systems that reduce harmful emissions. · Aerospace Engineers · exposure with tools

Occupations that perform this

• Civil Engineers
• Aerospace Engineers
• Microsystems Engineers

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-design-systems-to-reduce-harmful-emissions,
  title  = {Design systems to reduce harmful emissions.},
  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/detailed-activities/design-systems-to-reduce-harmful-emissions}
}