Design processing plants and equipment.
Work task
“Design processing plants and equipment.” is a core task performed by Materials Engineers. Among the occupation's 21 rated tasks, workers place it 2nd by importance (#20 most important). About 81% 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.
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
- Analyze product failure data and laboratory test results to determine causes of problems and develop solutions. · importance 4.3
- Design and direct the testing or control of processing procedures. · importance 4.2
- Monitor material performance, and evaluate its deterioration. · importance 4.2
- Conduct or supervise tests on raw materials or finished products to ensure their quality. · importance 4.1
- Evaluate technical specifications and economic factors relating to process or product design objectives. · importance 4.1
- Modify properties of metal alloys, using thermal and mechanical treatments. · importance 4.1
- Guide technical staff in developing materials for specific uses in projected products or devices. · importance 4.0
- Determine appropriate methods for fabricating and joining materials. · importance 4.0
- Review new product plans, and make recommendations for material selection, based on design objectives such as strength, weight, heat resistance, electrical conductivity, and cost. · importance 4.0
- Supervise the work of technologists, technicians, and other engineers and scientists. · importance 3.9
- Plan and implement laboratory operations to develop material and fabrication procedures that meet cost, product specification, and performance standards. · importance 3.9
- Plan and evaluate new projects, consulting with other engineers and corporate executives, as necessary. · importance 3.8
- Supervise production and testing processes in industrial settings, such as metal refining facilities, smelting or foundry operations, or nonmetallic materials production operations. · importance 3.8
- Solve problems in a number of engineering fields, such as mechanical, chemical, electrical, civil, nuclear, and aerospace. · importance 3.6
See all tasks on the Materials Engineers 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.
Cite this page
Singulariki. "Design processing plants and equipment.." Singulariki: a source-backed encyclopedia of work. Built from O*NET 30.3; “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130. Accessed June 7, 2026. https://singulariki.com/tasks/task-9011
Singulariki. (2026). Design processing plants and equipment.. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/tasks/task-9011
@misc{singulariki-task-9011,
title = {Design processing plants and equipment.},
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-9011}
} Citations name the underlying public dataset releases — they reflect what this page is built from, not just the URL.