Last Update: 3/13/2026
Your role’s AI Resilience Score is
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 shifting as AI becomes part of everyday workflows. Expect new responsibilities and new opportunities.
AI Resilience Report for
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 evolving
The career of Textile Cutting Machine Setters, Operators, and Tenders is labeled as "Evolving" because technology is playing a bigger role in fabric cutting, with machines doing more of the work. AI and computer-controlled cutters are becoming common, helping to increase efficiency and quality.
Read full analysisLearn more about how you can thrive in this position
Learn more about how you can thrive in this position
This role is evolving
The career of Textile Cutting Machine Setters, Operators, and Tenders is labeled as "Evolving" because technology is playing a bigger role in fabric cutting, with machines doing more of the work. AI and computer-controlled cutters are becoming common, helping to increase efficiency and quality.
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
CareerVillage's proprietary model that estimates how resilient each occupation's tasks are to AI automation and augmentation
Microsoft's Working with AI
AI Applicability
Measures how applicable AI tools (like Bing Copilot) are to each occupation based on real usage patterns
Anthropic's Observed Exposure
AI Resilience
Based on observed patterns of how Claude is being used across occupational tasks in real conversations
Will Robots Take My Job
Automation Resilience
Estimates the probability of automation for each occupation based on research from Oxford University and other academic sources
Althoff & Reichardt
Economic Growth
Measured as "Wage bill" which is a long term projection for average wage × employment. It's the total labor income flowing to an occupation
We use BLS employment projections to complement the AI-focused assessments from other sources.
Learn about this scoreGrowth Rate (2024-34):
Growth Percentile:
Annual Openings:
Annual Openings Pct:
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.

AI in the real world
Sources

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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
AI-generated estimates of task resilience over the next 3 years
Start machines, monitor operations, and make adjustments as needed.
Repair or replace worn or defective parts or components, using hand tools.
Operate machines for test runs to verify adjustments and to obtain product samples.
Confer with coworkers to obtain information about orders, processes, or problems.
Program electronic equipment.
Inspect machinery to determine whether repairs are needed.
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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