Textile Winding, Twisting, and Drawing Out Machine Setters, Operators, and Tenders
Textile Winding, Twisting, and Drawing Out Machine Setters, Operators, and Tenders — AI exposure, safer roles, and a pivot plan.
Also known as: Baller · Backwinder · Back Winder · Ball Winder · Ball Warper Tender · Axminster Rug Setter
This score estimates how exposed the tasks in a role are to current and near-term AI capabilities. It does not predict whether a specific person will lose a job.
Most exposed tasks
Highest structured exposure values in this role’s task mix — the work AI systems can already do most of.
No strongly automatable task in the current data release.
Augmentable tasks
Work where AI assists rather than replaces — the productivity frontier of this role.
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Record production data such as numbers and types of bobbins wound.57
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Observe operations to detect defects, malfunctions, or supply shortages.49
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Unwind lengths of yarn, thread, or twine from spools and wind onto bobbins.45
Most durable tasks
Lowest exposure — typically judgment, relationships, physical presence, or accountability. This is the human moat.
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Inspect products to verify that they meet specifications and to determine whether machine adjustment is needed.31
Task exposure values and classifications come from the versioned data release — they are structured data, not model output. Bars show exposure contribution relative to this role’s task mix.
What this means
A score of 42 puts Textile Winding, Twisting, and Drawing Out Machine Setters, Operators, and Tenders in the second quartile of analyzed occupations. In practice, exposure this level is about the mix: 0 of 20 analyzed tasks lean automatable, 19 augmentable, and 1 durable. The useful question isn’t “will AI take this job” — it’s which tasks go first, which get faster, and where to reposition time. That’s what the personalized report maps against your actual week.
One next move: adopt AI deliberately on the augmentable tasks and build visible evidence of the durable ones.
Lower-exposure adjacent roles
No adjacent role in the current data release is at least 10 points lower with ≥50% skill overlap — we don’t label anything “safer” unless the data supports it.
Labor-market context
- $38,670median wage
- 22,020employed
- 2,500annual openings
- -8.8%projected growth
Context only — labor statistics are not inputs to the exposure score. See methodology.
Your week probably doesn’t match the average
This page scores the occupation. The $9 Personalized Risk & Action Report scores your task mix — paste what you actually do and get your own score, confidence level, task matrix, human moat, and a 7/30/90-day plan.
Personalize my result — $9Related roles
Adjacent by skills or family — no exposure claim implied.
FAQ — Textile Winding, Twisting, and Drawing Out Machine Setters, Operators, and Tenders
- What does a score of 42 mean for a Textile Winding, Twisting, and Drawing Out Machine Setters, Operators, and Tenders?
- It means that, weighted across the 20 tasks we analyzed for this role, the task mix sits at 42 on a 0–100 exposure scale — in the second quartile of analyzed occupations. It measures task exposure to current and near-term AI capabilities, not the probability of losing a job.
- Which tasks in this role are most exposed to AI?
- This role has no strongly automatable task in the current data release.
- Which parts of this job are most durable?
- The most durable responsibilities are: Inspect products to verify that they meet specifications and to determine whether machine adjustment is needed. Durable tasks typically depend on judgment, relationships, physical presence, or accountability.
- Is this score personalized to me?
- No — this page shows the occupation-level baseline. Two people with the same title often do different work. The $9 personalized report recalculates the score from the tasks you actually do and builds a concrete 7/30/90-day plan around them.
Score version jr-v1 · data release 2026.07.11-r1 · updated 2026-07-11 · baseline mapping: 20 of 20 tasks carry source-level provenance · methodology