Stop machines when specified amounts of product have been produced.
Work task
“Stop machines when specified amounts of product have been produced.” is a core task performed by Textile Knitting and Weaving Machine Setters, Operators, and Tenders. Among the occupation's 20 rated tasks, workers place it 9th by importance (#12 most important). About 84% 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 E0. No direct exposure — current language models give little or no time savings on this task.
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 0.00. Automation potential label: T0.
Other tasks in this occupation
- Observe woven cloth to detect weaving defects. · importance 4.7
- Thread yarn, thread, and fabric through guides, needles, and rollers of machines for weaving, knitting, or other processing. · importance 4.6
- Remove defects in cloth by cutting and pulling out filling. · importance 4.5
- Examine looms to determine causes of loom stoppage, such as warp filling, harness breaks, or mechanical defects. · importance 4.5
- Inspect products to ensure that specifications are met and to determine if machines need adjustment. · importance 4.5
- Notify supervisors or repair staff of mechanical malfunctions. · importance 4.5
- Program electronic equipment. · importance 4.4
- Set up, or set up and operate textile machines that perform textile processing and manufacturing operations such as winding, twisting, knitting, weaving, bonding, or stretching. · importance 4.4
- Start machines, monitor operations, and make adjustments as needed. · importance 4.3
- Install, level, and align machine components such as gears, chains, guides, dies, cutters, or needles to set up machinery for operation. · importance 4.3
- Record information about work completed and machine settings. · importance 4.3
- Study guides, loom patterns, samples, charts, or specification sheets, or confer with supervisors or engineering staff to determine setup requirements. · importance 4.2
- Inspect machinery to determine whether repairs are needed. · importance 4.2
- Repair or replace worn or defective needles and other components, using hand tools. · importance 4.1
See all tasks on the Textile Knitting and Weaving Machine Setters, Operators, and Tenders 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. "Stop machines when specified amounts of product have been produced.." 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-14174
Singulariki. (2026). Stop machines when specified amounts of product have been produced.. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/tasks/task-14174
@misc{singulariki-task-14174,
title = {Stop machines when specified amounts of product have been produced.},
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-14174}
} Citations name the underlying public dataset releases — they reflect what this page is built from, not just the URL.