Medium AI Risk Declining

Textile winding, twisting, and drawing out machine setters, operators, and tenders

SOC Code: 51-6064

Textile winding, twisting, and drawing out machine setters, operators, and tenders carries a 35% AI exposure score (Medium automation risk), with a median annual wage of $37,660 and -9.0% projected employment growth from 2024 to 2034 (BLS), affecting approximately 21,700 workers. Full task breakdown, skills, and employer data are below.

AI Exposure Score
35% Medium

Proportion of tasks susceptible to AI automation (O*NET analysis)

Projected Growth
-9.0%
2024–2034 (BLS)
-1,900 jobs
Median Annual Wage
$37,660
BLS May 2024
How wage figures are sourced →
The verdict

At 35% AI exposure, Textile winding, twisting, and drawing out machine setters, operators, and tenders sits 2 points below the 37.2% average across 832 U.S. occupations - more exposed than 46% of them. Most of its core tasks still require human judgment.

35%
AI exposure
46th
percentile
-9.0%
Job growth 2024–34
$37,660
Median wage

Where Textile winding, twisting, and drawing out machine setters, operators, and tenders sits among all occupations

AI-exposure score distribution across 832 U.S. occupations (O*NET task analysis). This occupation is marked in rose.

AI exposure distribution - Textile winding, twisting, and drawing out machine setters, operators, and tenders marked 1 occupations at 0–10% 1 0 43 occupations at 10–20% 43 10 184 occupations at 20–30% 184 20 332 occupations at 30–40% 332 30 158 occupations at 40–50% 158 40 64 occupations at 50–60% 64 50 29 occupations at 60–70% 29 60 15 occupations at 70–80% 15 70 5 occupations at 80–90% 5 80 1 occupations at 90–100% 1 90 AI exposure (%) →
Top 54% by AI exposure Higher AI exposure than 46% of all 832 occupations.

Textile winding, twisting, and drawing out machine setters, operators, and tenders has ai exposure of 35%. Distribution: 1 occupations at 0-10%; 43 occupations at 10-20%; 184 occupations at 20-30%; 332 occupations at 30-40%; 158 occupations at 40-50%; 64 occupations at 50-60%; 29 occupations at 60-70%; 15 occupations at 70-80%; 5 occupations at 80-90%; 1 occupations at 90-100%.

Source: O*NET task data (U.S. Department of Labor); AI-exposure scores are PlainWorkforce's analysis. As of BLS 2024–2034.

Textile winding, twisting, and drawing out machine setters, operators, and tenders vs. its occupational neighbors

AI exposure (horizontal) vs projected 2024–2034 growth (vertical) for occupations in the same SOC group. Textile winding, twisting, and drawing out machine setters, operators, and tenders is marked in rose; the top-left corner is the most future-proof.

Future-proofGrowing but exposedStable, lower-AIMost at risk28.1%33.0%38%43.0%47.9%-11.5%-7.0%-2.5%1.9%6.4%AI exposure (%) →Projected growth (%) →Textile windingMiscellaneous assembFirst-line supervisoInspectorsWeldersPackagingMachinistsProduction workersElectricalBakersLaundryComputer numerically

Source: BLS Employment Projections 2024–2034 (growth) and O*NET (AI-exposure analysis by PlainWorkforce).

Employment Projections

21,700
Employment 2024
19,800
Projected 2034
-9.0%
Change (%)
-1,900
Change (jobs)

Occupation Insight

Textile winding, twisting, and drawing out machine setters, operators, and tenders (SOC 51-6064) carries an AI exposure score of 35%, placing it in the Medium automation-risk tier. This score is computed from O*NET Database 30.0 task-level analysis, where each task an occupation performs is evaluated against current generative AI, robotic process automation, and machine-learning capabilities. A score below 40% reflects tasks anchored in physical dexterity, unstructured environments, or high-touch human interaction that current AI cannot reliably replicate.

The economic context matters alongside the risk score. BLS counted approximately 21,700 workers in this occupation in 2024, and projects a -9.0% change through 2034 - a decline that often compounds with high AI exposure to create displacement headwinds. Median annual compensation stands at $37,660, reflecting both skill scarcity and the value employers place on the tasks that remain difficult to automate. Entry typically requires High school diploma or equivalent, plus None of related experience.

For career planners, this profile should be read alongside the task, skill, and knowledge breakdowns below and the list of employers whose workforce composition includes Textile winding, twisting, and drawing out machine setters, operators, and tenders. Adjacent occupations shown further down offer lateral moves that preserve industry knowledge while potentially reducing exposure. Pair the AI exposure score with the BLS employment projection and wage percentiles above for a complete career assessment.

Education & Entry Requirements

Typical Education
High school diploma or equivalent
Work Experience
None
On-the-Job Training
Moderate-term on-the-job training

Top Tasks (O*NET)

  1. 1. Observe bobbins as they are winding and cut threads to remove loaded bobbins, using knives.
  2. 2. Notify supervisors or mechanics of equipment malfunctions.
  3. 3. Thread yarn, thread, or fabric through guides, needles, and rollers of machines.
  4. 4. Unwind lengths of yarn, thread, or twine from spools and wind onto bobbins.
  5. 5. Start machines, monitor operation, and make adjustments as needed.
  6. 6. Inspect machinery to determine whether repairs are needed.
  7. 7. Record production data such as numbers and types of bobbins wound.
  8. 8. Replace depleted supply packages with full packages.
  9. 9. Stop machines when specified amount of products has been produced.
  10. 10. Adjust machine settings such as speed or tension to produce products that meet specifications.

Key Skills Required

  • Operations Monitoring
  • Operation and Control
  • Speaking
  • Quality Control Analysis
  • Active Listening
  • Critical Thinking
  • Monitoring
  • Troubleshooting
  • Coordination
  • Equipment Maintenance

Knowledge Areas

  • Production and Processing
  • Administration and Management
  • Mechanical
  • Public Safety and Security
  • Personnel and Human Resources
  • Customer and Personal Service
  • English Language
  • Mathematics
  • Economics and Accounting
  • Sales and Marketing

Frequently Asked Questions

Will AI replace Textile winding, twisting, and drawing out machine setters, operators, and tenders?

Textile winding, twisting, and drawing out machine setters, operators, and tenders has an AI exposure score of 35%, indicating a medium level of automation risk. The majority of tasks in this role require human judgment, creativity, or physical presence that AI cannot easily replicate.

What is the job outlook for Textile winding, twisting, and drawing out machine setters, operators, and tenders?

According to BLS Employment Projections 2024-2034, Textile winding, twisting, and drawing out machine setters, operators, and tenders is projected to decline by 9.0% over the decade. Current employment stands at approximately 21,700 workers.

What skills are needed for Textile winding, twisting, and drawing out machine setters, operators, and tenders?

Key skills for Textile winding, twisting, and drawing out machine setters, operators, and tenders include Operations Monitoring, Operation and Control, Speaking, and others. Typical entry-level education is High school diploma or equivalent.

How much do Textile winding, twisting, and drawing out machine setters, operators, and tenders earn?

The median annual wage for Textile winding, twisting, and drawing out machine setters, operators, and tenders is $37,660, according to BLS Occupational Employment and Wage Statistics (May 2024). Actual earnings vary by location, experience, industry, and employer. The BLS publishes detailed wage percentiles by region in its Occupational Employment and Wage Statistics program.

What education is required for Textile winding, twisting, and drawing out machine setters, operators, and tenders?

The typical entry-level education for Textile winding, twisting, and drawing out machine setters, operators, and tenders is High school diploma or equivalent. Employers generally expect None of related work experience. On-the-job training typically involves Moderate-term on-the-job training. Requirements can vary by employer and specialization.

Which companies employ Textile winding, twisting, and drawing out machine setters, operators, and tenders?

Textile winding, twisting, and drawing out machine setters, operators, and tenders roles exist across many industries and employers. Workforce composition is estimated from BLS industry-occupation employment distributions matched to SEC-registered public companies.

AI Exposure Rating

1.8
out of 5.0

Medium automation risk based on 10 analyzed tasks. Most tasks require human judgment and are resistant to automation.

Data sources: Bureau of Labor Statistics Employment Projections 2024–2034 and O*NET Database 30.0. Employment figures are rounded. Wage data from BLS Occupational Employment Statistics (OES).

Data sourced from official public datasets. See our methodology for details. Retrieved and formatted by PlainWorkforce Editorial

Every figure on PlainWorkforce is rendered directly from BLS/O*NET source data, no number is typed in by an editor. See our editorial standards & corrections policy, the methodology behind these figures, or report a data error. Data current as of BLS Employment Projections 2024-2034.