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Do you agree with the AI automation risk score calculated for this occupation?
AI Automation Index
Task-level automation exposure for Textile Winding, Twisting, and Drawing Out Machine Setters, Operators, and Tenders: 23 O*NET tasks scored against their work activities, plus the simulator.
Automation Exposure
23 of 23 tasks scored
Median Salary
BLS OEWS, May 2025 — this exact occupation
Employment Level
22,020 people hold this job — size, not growth
Projected 2025–35
2,400 openings a year · BLS line item
BLS OEWS publishes 26 state estimates for this occupation. Each is its own survey estimate, not the national median adjusted for local prices.
$36,160 – $50,770
Highest medians
Lowest medians
State figures come from the 51-6064 row in the May 2025 state panel. States where the estimate was suppressed or too small to publish are absent.
Each task is mapped to its work activities, scored for AI automation potential, and weighted by how important those activities are to the job. These are the components.
Importance-weighted mean of the scored tasks. This is the headline index.
Share of weighted tasks in hands-on or machine-operating work activities.
Share in analysis, decisions, teaching, directing, advising, or caring for others.
Share in documenting, recording, and administrative activities.
Share of weighted tasks O*NET rewrote in a recent update. Reported, not folded into the score.
O*NET's own rating of how serious an uncorrectable mistake would be here — respondents, not us. Deliberately not in the index: the score measures what AI can do with the task content, and multiplying it by stakes would be our judgment dressed as data.
23 tasks for this occupation, weighted by work-activity importance. Shares below are of total task weight, not task count.
4 tasks
1 tasks
18 tasks
Move your week away from the high-exposure tasks and toward the ones that need judgment. The simulator recalculates the index as you shift the mix.
Simulate Upskilling →Notify supervisors or mechanics of equipment malfunctions.
text generation — Notifying maintenance needs is routine messaging
Thread yarn, thread, or fabric through guides, needles, and rollers of machines.
physical manipulation — Feeding materials into equipment is physical
Start machines, monitor operation, and make adjustments as needed.
physical manipulation — Textile cutting/production is hands-on machine work
Inspect machinery to determine whether repairs are needed.
visual inspection — Physical inspection of production machinery in situ
Record production data such as numbers and types of bobbins wound.
data analysis — Record production data into structured logs
Replace depleted supply packages with full packages.
data analysis — Materials inventory records and forecasting automatable
Stop machines when specified amount of products has been produced.
physical manipulation — Textile cutting/production is hands-on machine work
Inspect products to verify that they meet specifications and to determine whether machine adjustment is needed.
visual inspection — Textile inspection is tactile and visual, hands-on
Tend machines that twist together two or more strands of yarn or insert additional twists into single strands of yarn to increase strength, smoothness, or uniformity of yarn.
physical manipulation — Textile cutting/production is hands-on machine work
Observe operations to detect defects, malfunctions, or supply shortages.
visual inspection — Malfunction detection relies on live physical observation
Operate machines for test runs to verify adjustments and to obtain product samples.
physical manipulation — Operating production equipment physically on site
Observe bobbins as they are winding and cut threads to remove loaded bobbins, using knives.
visual inspection — Sensor/vision monitoring possible, but physical verification and accountability remain human
Unwind lengths of yarn, thread, or twine from spools and wind onto bobbins.
physical manipulation — Hands-on loading of materials into equipment
Adjust machine settings such as speed or tension to produce products that meet specifications.
physical manipulation — Textile cutting/production is hands-on machine work
Study guides, samples, charts, and specification sheets, or confer with supervisors or engineering staff to determine setup requirements.
visual inspection — Blueprint setup reading partial, human confirms
Tend spinning frames that draw out and twist roving or sliver into yarn.
physical manipulation — Textile cutting/production is hands-on machine work
Remove spindles from machines and bobbins from spindles.
physical manipulation — Removing parts from equipment is hands-on
Install, level, and align machine components such as gears, chains, guides, dies, cutters, or needles to set up machinery for operation.
physical manipulation — Physical control setting for cutting
Place bobbins on spindles and insert spindles into bobbin-winding machines.
physical manipulation — Mounting workpieces is physical loading
Tend machines with multiple winding units that wind thread onto shuttle bobbins for use on sewing machines or other kinds of bobbins for sole-stitching, knitting, or weaving machinery.
physical manipulation — Textile cutting/production is hands-on machine work
Repair or replace worn or defective parts or components, using hand tools.
physical manipulation — Hands-on removal and fitting of worn components
Measure bobbins periodically, using gauges, and turn screws to adjust tension if bobbins are not of specified size.
physical manipulation — Hands-on dimensional measurement of workpieces
Clean, oil, and lubricate machines, using air hoses, cleaning solutions, rags, oilcans, and grease guns.
physical manipulation — Manual lubrication of production equipment
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<div class="giniloh-calculator-embed" data-calculator="textile-winding-twisting-and-drawing-out-machine-setters-operators-and-tenders"></div>
<script src="https://giniloh.com/embed.js" async></script> Community Sentiment
Do you agree with the AI automation risk score calculated for this occupation?
Method
Check: across the 910 occupations where O*NET also rates how far machine speed sets the pace, this index moves opposite to it (Spearman ρ = -0.49). The more a job is paced by equipment, the less of its task content AI can address — the relationship you would expect if the scoring is working.
Sources · O*NET 31.0 (task records to 08/2026) · BLS OEWS May 2025 · BLS projections 2025-2035 · rubric v2.1 · tasks for O*NET, not a forecast
See the full method →Related Article
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