Will AI replace textile cutting machine setters, operators, and tenders?AI replacement risk 41% and how the work is changing

United States Manufacturing & Repair Confidence ★★★★★

Median annual pay
$38,760
25th–75th pct. $34,230–$45,220
Top pay (est.)
$64,200
Top 10% $49,420
Pay in 5 years
$43,400est.
2031
Pay in 10 years
$48,500est.
$41,700–$56,300
Outlook score
30/100
★★☆☆☆ Below average
AI replacement risk
41%
Moderate
Job growth (10 yr)
−13.6%
900 openings / yr

Will AI replace Textile Cutting Machine Setters, Operators, and Tenders? AI replacement risk

41%
Moderate
Ranked #392 safest from AI among all U.S. occupations
Very lowLowModerateHighVery high

How AI is changing this job

A written analysis for this occupation is being prepared.

AI replacement risk compares the parts of a job that are easy to hand to AI or software (processing information, documentation, repetitive computer work) with the parts that are hard to automate (physical work, working closely with people, judgment in unpredictable settings), using O*NET work activities, work context, skills and knowledge. The result is a relative position among all occupations in the country, scaled to 0–100%. Methodology →

Skills, education and requirements for Textile Cutting Machine Setters, Operators, and Tenders

Key skills

Operations Monitoring
3.8
Operation and Control
3.8
Monitoring
3.2
Equipment Maintenance
3.2
Quality Control Analysis
3.1
Troubleshooting
3.0
Repairing
3.0
Coordination
2.8

O*NET skill level ratings (0–7).

Key knowledge areas

Mechanical
3.0
Mathematics
2.8
Production and Processing
2.7
Administration and Management
2.3
Education and Training
2.2
Design
2.0
Building and Construction
1.9
Computers and Electronics
1.9

What the work involves

Handling and Moving ObjectsControlling Machines and ProcessesEstablishing and Maintaining Interpersonal RelationshipsOrganizing, Planning, and Prioritizing WorkPerforming General Physical ActivitiesCommunicating with Supervisors, Peers, or SubordinatesTraining and Teaching OthersInspecting Equipment, Structures, or Materials

Important abilities

Arm-Hand SteadinessReaction TimeVisualizationControl PrecisionNear VisionFinger Dexterity

Education of workers

High school diploma
68%
Less than high school
32%

Training before entry

1–3 months
44%
None / short demo
27%
Up to 1 month
20%
3–6 months
9%

Related work experience

None
44%
1–2 years
26%
6–12 months
10%
3–6 months
10%
1–3 months
8%
Up to 1 month
2%

Job Zone 2 — some preparation needed (O*NET)

Difficulty of entry: ★☆☆☆☆ Easy to enter (from education, training, experience and Job Zone)

Pay and employment figures are national statistics. Projected pay, outlook scores and AI replacement risk are estimates from the Shigoto Zukan model, not guarantees. To request a correction, use the contact form. How to read the data
Sources: BLS OEWS May 2025; BLS Employment Projections 2025–35; O*NET 31.0 Database by USDOL/ETA (CC BY 4.0), modified by Shigoto Zukan. Pay ranges, projections and scores are Shigoto Zukan estimates.