BETA
Updated: Mar 2
BETA
Updated: Mar 2
Changing fast
Last Update: 2/17/2026
Your role’s AI Resilience Score is
29.8%
Median Score
Changing Fast
Evolving
Stable
This reflects the reliability of your score based on the number of data sources available for this career and how closely those sources agree on the outlook. A higher confidence means more consistent evidence from labor experts and AI models.
What does this resilience result mean?
These roles are undergoing rapid transformation. Entry-level tasks may be automated, and career paths may look different in the near future.
AI Resilience Report for
Textile Cutting Machine Setters, Operators, and Tenders
They operate machines that cut fabric into specific shapes and sizes for clothing and other products, ensuring everything is accurate and ready for production.
This role is changing fast
This career is labeled as "Evolving" because while machines and AI are taking over tasks like cutting fabrics and spotting defects, human skills are still crucial for running, maintaining, and fixing these machines. The technology is making factories faster and more precise, but people are needed to handle tasks that machines can't, like sewing and troubleshooting.
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View analysisChat with CoachLatest newsMore career infoAnalysisChatNewsMoreThis role is changing fast
This career is labeled as "Evolving" because while machines and AI are taking over tasks like cutting fabrics and spotting defects, human skills are still crucial for running, maintaining, and fixing these machines. The technology is making factories faster and more precise, but people are needed to handle tasks that machines can't, like sewing and troubleshooting.
Read full analysisContributing Sources
We aggregate scores from multiple models and supplement with employment projections for a more accurate picture of this occupation’s resilience. Expand to view all sources.
AI Resilience
AI Resilience Model v1.0
AI Task Resilience
Changing fast5.9%
5.9%
Microsoft's Working with AI
AI Applicability
Evolving65.4%
65.4%
Anthropic's Economic Index
AI Resilience
Stable73.6%
73.6%
Will Robots Take My Job
Automation Resilience
Changing fast13.6%
13.6%
Low Demand
Labor Market Outlook
We use BLS employment projections to complement the AI-focused assessments from other sources.
Learn about this scoreGrowth Rate (2024-34):
-11.7%
Growth Percentile:
3.9%
Annual Openings:
1,000
Annual Openings Pct:
11.4%
Analysis of Current AI Resilience
Textile Cutting Machine Ops
Updated Quarterly • Last Update: 2/17/2026
What's changing and what's not
These days fabric cutting is largely done by machines. In modern plants, layers of cloth are laid out automatically and cut by computer-controlled cutters (CNC machines) [1]. Many cutting machines now use cameras and image software to align printed patterns before cutting [2].
Researchers even use AI-driven vision systems to spot defects in fabric (like holes or stains) so quality checking can be faster [3]. All this means human cutters often “guide” high-tech machines rather than cut by hand. At the same time, hands-on tasks remain important: machines must still be cleaned, oiled, and fixed by people, and operators must load cloth and adjust settings.
Sewing and “assembly” work is still mostly manual in garment factories [1]. In short, technology is doing more of the cutting, but people are needed to run, supervise, and maintain the machines.
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AI in the real world
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More Career Info
Career: Textile Cutting Machine Setters, Operators, and Tenders
Parent Careers
Similar Careers
Employment & Wage Data
Median Wage
$37,940
Jobs (2024)
9,300
Growth (2024-34)
-11.7%
Annual Openings
1,000
Education
High school diploma or equivalent
Experience
None
Source: Bureau of Labor Statistics, Employment Projections 2024-2034
Task-Level AI Resilience Scores
AI-generated estimates of task resilience over the next 3 years
1
Start machines, monitor operations, and make adjustments as needed.
2
Repair or replace worn or defective parts or components, using hand tools.
3
Operate machines for test runs to verify adjustments and to obtain product samples.
4
Confer with coworkers to obtain information about orders, processes, or problems.
5
Program electronic equipment.
6
Inspect machinery to determine whether repairs are needed.
7
Record information about work completed and machine settings.
Tasks are ranked by their AI resilience, with the most resilient tasks shown first. Core tasks are essential functions of this occupation, while supplemental tasks provide additional context.
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