Program electronic equipment.
Work task
“Program electronic equipment.” is a supplemental task performed by Textile Cutting Machine Setters, Operators, and Tenders. Among the occupation's 18 rated tasks, workers place it 13th by importance (#6 most important). About 50% 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 E1. Direct exposure — a language model could plausibly cut the time to do this task 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 1.00. Automation potential label: T3.
How AI is actually used on this kind of task
The Anthropic Economic Index observes how people actually use AI on tasks like this one across millions of real conversations.
- 0.14% share of AI-use records mapped to this task
- 50% of that use is work-related
- Most common interaction: directive
- Average autonomy of the AI: 3.7 (1–5; higher = more autonomous)
- 71% of interactions still needed a human in the loop
Observed AI use describes people choosing to use AI as a tool on this kind of task today. It is augmentation and assistance, not a measure of jobs replaced.
Working with AI vs. handing it off
Of the AI conversations mapped to this task, the split between people working alongside AI and people delegating the task to it.
How people interact with AI on this task
| Interaction pattern | Share | % | What it means |
|---|---|---|---|
| directive | 37% | you give the instruction; AI produces a finished result | |
| feedback loop | 31% | AI does it, then adjusts from your feedback | |
| learning | 16% | you ask AI to explain or teach you | |
| task iteration | 11% | you and AI go back and forth on the work |
Other tasks in this occupation
- Thread yarn, thread, or fabric through guides, needles, and rollers of machines. · importance 4.5
- Operate machines to cut multiple layers of fabric into parts for articles such as canvas goods, house furnishings, garments, hats, or stuffed toys. · importance 4.4
- Adjust cutting techniques to types of fabrics and styles of garments. · importance 4.4
- Inspect products to ensure that the quality standards and specifications are met. · importance 4.4
- Place patterns on top of layers of fabric and cut fabric following patterns, using electric or manual knives, cutters, or computer numerically controlled cutting devices. · importance 4.3
- Study guides, samples, charts, and specification sheets or confer with supervisors or engineering staff to determine set-up requirements. · importance 4.2
- Start machines, monitor operations, and make adjustments as needed. · importance 4.2
- Stop machines when specified amounts of product have been produced. · importance 4.1
- Adjust machine controls, such as heating mechanisms, tensions, or speeds, to produce specified products. · importance 4.1
- Record information about work completed and machine settings. · importance 4.1
- Notify supervisors of mechanical malfunctions. · importance 4.1
- Inspect machinery to determine whether repairs are needed. · importance 4.0
- Operate machines for test runs to verify adjustments and to obtain product samples. · importance 4.0
- Confer with coworkers to obtain information about orders, processes, or problems. · importance 4.0
See all tasks on the Textile Cutting 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
- Anthropic Economic Index v4 (2026-01-15) + v2 (2025-03-27) Anthropic
- “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. "Program electronic equipment.." Singulariki: a source-backed encyclopedia of work. Built from O*NET 30.3; Anthropic Economic Index v4 (2026-01-15) + v2 (2025-03-27); “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130. Accessed June 7, 2026. https://singulariki.com/tasks/task-14161
Singulariki. (2026). Program electronic equipment.. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/tasks/task-14161
@misc{singulariki-task-14161,
title = {Program electronic equipment.},
author = {{Singulariki}},
year = {2026},
note = {O*NET 30.3; Anthropic Economic Index v4 (2026-01-15) + v2 (2025-03-27); “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130. Accessed June 7, 2026},
url = {https://singulariki.com/tasks/task-14161}
} Citations name the underlying public dataset releases — they reflect what this page is built from, not just the URL.