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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 Bleaching and Dyeing Machine 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
5,310 people hold this job — size, not growth
Projected 2025–35
600 openings a year · BLS line item
BLS OEWS publishes 14 state estimates for this occupation. Each is its own survey estimate, not the national median adjusted for local prices.
$29,850 – $45,930
Highest medians
Lowest medians
State figures come from the 51-6061 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.
3 tasks
3 tasks
17 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 →Weigh ingredients, such as dye, to be mixed together for use in textile processing.
physical manipulation — Physical measuring and dispensing of ingredients
Start and control machines and equipment to wash, bleach, dye, or otherwise process and finish fabric, yarn, thread, or other textile goods.
physical manipulation — Hands-on operation of garment treatment machinery
Observe display screens, control panels, equipment, and cloth entering or exiting processes to determine if equipment is operating correctly.
visual inspection — Sensor/vision monitoring possible, but physical verification and accountability remain human
Notify supervisors or mechanics of equipment malfunctions.
text generation — Notifying maintenance needs is routine messaging
Monitor factors such as temperatures and dye flow rates to ensure that they are within specified ranges.
visual inspection — Physical product flaw monitoring is on-machine
Add dyes, water, detergents, or chemicals to tanks to dilute or strengthen solutions, according to established formulas and solution test results.
physical manipulation — Applying solutions to equipment is manual
Examine and feel products to identify defects and variations from coloring and other processing standards.
visual inspection — Textile inspection is tactile and visual, hands-on
Adjust equipment controls to maintain specified heat, tension, and speed.
physical manipulation — Manual temperature control adjustment
Soak specified textile products for designated times.
physical manipulation — Immersing workpieces in solutions by hand
Inspect machinery to determine necessary adjustments and repairs.
visual inspection — Physical inspection of production machinery in situ
Confer with coworkers to get information about order details, processing plans, or problems that occur.
interpersonal — Colleague information exchange is relational, contextual
Sew ends of cloth together, by hand or using machines, to form endless lengths of cloth to facilitate processing.
physical manipulation — Sewing clothing requires fine manual dexterity
Ravel seams that connect cloth ends when processing is completed.
physical manipulation — Sewing materials is tactile hands-on craft
Remove dyed articles from tanks and machines for drying and further processing.
physical manipulation — Physically extracting parts from production equipment
Study guides, charts, and specification sheets, and confer with supervisors to determine machine setup requirements.
visual inspection — Blueprint setup reading partial, human confirms
Prepare dyeing machines for production runs, and conduct test runs of machines to ensure their proper operation.
physical manipulation — Operating production equipment physically on site
Key in processing instructions to program electronic equipment.
physical manipulation — Command entry often needs physical equipment interface
Test solutions used to process textile goods to detect variations from standards.
physical manipulation — Chemical/physical testing requires lab manipulation
Record production information such as fabric yardage processed, temperature readings, fabric tensions, and machine speeds.
data analysis — Record production data into structured logs
Thread ends of cloth or twine through specified sections of equipment prior to processing.
physical manipulation — Feeding materials into equipment is physical
Mount rolls of cloth on machines, using hoists, or place textile goods in machines or pieces of equipment.
physical manipulation — Rigging and lifting loads with cranes is hands-on
Install, level, and align components such as gears, chains, dies, cutters, and needles.
physical manipulation — Mounting tools requires hands-on setup
Perform machine maintenance, such as cleaning and oiling equipment, and repair or replace worn or defective parts.
physical manipulation — Hands-on repair of production machinery
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<div class="giniloh-calculator-embed" data-calculator="textile-bleaching-and-dyeing-machine-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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