Repair or alter items by adding replacement parts or missing stitches.
Work task
“Repair or alter items by adding replacement parts or missing stitches.” is a core task performed by Sewing Machine Operators. Among the occupation's 26 rated tasks, workers place it 9th by importance (#18 most important). About 80% 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
- Monitor machine operation to detect problems such as defective stitching, breaks in thread, or machine malfunctions. · importance 4.4
- Cut materials according to specifications, using blades, scissors, or electric knives. · importance 4.4
- Place spools of thread, cord, or other materials on spindles, insert bobbins, and thread ends through machine guides and components. · importance 4.3
- Position items under needles, using marks on machines, clamps, templates, or cloth as guides. · importance 4.3
- Guide garments or garment parts under machine needles and presser feet to sew parts together. · importance 4.3
- Match cloth pieces in correct sequences prior to sewing them, and verify that dye lots and patterns match. · importance 4.2
- Remove holding devices and finished items from machines. · importance 4.2
- Fold or stretch edges or lengths of items while sewing to facilitate forming specified sections. · importance 4.2
- Cut excess material or thread from finished products. · importance 4.2
- Select supplies such as fasteners and thread, according to job requirements. · importance 4.1
- Examine and measure finished articles to verify conformance to standards, using rulers. · importance 4.1
- Start and operate or tend machines, such as single or double needle serging and flat-bed felling machines, to automatically join, reinforce, or decorate material or articles. · importance 4.1
- Inspect garments, and examine repair tags and markings on garments to locate defects or damage, and mark errors as necessary. · importance 4.1
- Record quantities of materials processed. · importance 4.0
See all tasks on the Sewing Machine Operators 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. "Repair or alter items by adding replacement parts or missing stitches.." 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-12164
Singulariki. (2026). Repair or alter items by adding replacement parts or missing stitches.. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/tasks/task-12164
@misc{singulariki-task-12164,
title = {Repair or alter items by adding replacement parts or missing stitches.},
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-12164}
} Citations name the underlying public dataset releases — they reflect what this page is built from, not just the URL.