AI JOB RISK SCANNER
O*NET-SOC 51-6062.00 / model V11 rated-task engine

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

Set up, operate, or tend machines that cut textiles.

Estimated AI task exposure
21%

Low-Moderate exposure

V11 weights occupation tasks using O*NET Importance, Relevance and Frequency ratings instead of treating every task equally.

18 tasks have usable Task Rating records; weighted-task coverage is 100%.

Digital/info work

37/100

Physical moat

69/100

Human moat

12/100

Rating coverage

100%

18 task statements / 18 rated

Highest-weighted occupation tasks

Inspect products to ensure that the quality standards and specifications are met.
Importance 86/100Relevance 94/100Frequency 79/100Weight 0.87
Start machines, monitor operations, and make adjustments as needed.
Importance 79/100Relevance 90/100Frequency 75/100Weight 0.82
Confer with coworkers to obtain information about orders, processes, or problems.
Importance 74/100Relevance 91/100Frequency 69/100Weight 0.79
Place patterns on top of layers of fabric and cut fabric following patterns, using electric or manual knives, cutters, or computer numerically controlled cutting devices.
Importance 82/100Relevance 75/100Frequency 73/100Weight 0.77
Record information about work completed and machine settings.
Importance 77/100Relevance 82/100Frequency 70/100Weight 0.77
Notify supervisors of mechanical malfunctions.
Importance 77/100Relevance 91/100Frequency 50/100Weight 0.76
Adjust machine controls, such as heating mechanisms, tensions, or speeds, to produce specified products.
Importance 78/100Relevance 76/100Frequency 70/100Weight 0.75
Inspect machinery to determine whether repairs are needed.
Importance 76/100Relevance 74/100Frequency 66/100Weight 0.72
Thread yarn, thread, or fabric through guides, needles, and rollers of machines.
Importance 88/100Relevance 62/100Frequency 80/100Weight 0.76
Adjust cutting techniques to types of fabrics and styles of garments.
Importance 86/100Relevance 65/100Frequency 73/100Weight 0.75

Task weighting

Each rated task receives a composite weight: 38% relevance, 37% importance and 25% frequency. Core tasks receive a small additional multiplier. Low-precision rows flagged by O*NET for suppression are excluded.

Occupation scoring

When rating coverage is strong, rated tasks contribute 60% of the digital, physical and human task signals and Work Activities contribute 40%. Lower-coverage occupations automatically rely more on Work Activities.

U.S. labor market

BLS Wage & Employment Outlook

Median annual wage

$38,760

BLS OEWS May 2025

National employment

9,000

BLS OEWS May 2025

Projected growth

-13.6%

BLS Employment Projections 2025–2035

Average annual openings

1

BLS Employment Projections 2025–2035

BLS labor-market figures are separate from the site's AI-exposure model. Missing values mean a compatible detailed BLS occupation estimate was not published or could not be mapped.

Career pivot radar

Safer Career Alternatives

These options are selected from the same 923-occupation model. They favor a similar task/work profile with meaningfully lower estimated AI exposure. They are suggestions for exploration, not guarantees of job fit.

Personalized career defense protocol

AI-Proofing Plan

AUTOMATE

    AUGMENT

    • administrative support tasks
    • planning and documentation

    PROTECT

    • physical-world execution
    • on-site troubleshooting
    • dexterity and equipment interaction

    LEARN

    • AI-assisted diagnostics
    • digital documentation
    • basic AI literacy

    AI-PROOFING RESOURCES

    What this score does not mean

    The percentage is a comparative task-exposure index. It is not the probability that this occupation disappears, that a worker is laid off, or that AI can perform the entire job.

    New in V11

    Find a Safer Career Path

    High exposure does not mean starting over. V11 compares your occupation with the other 922 O*NET occupations and surfaces lower-exposure options with similar work profiles.

    EXPLORE CAREER ALTERNATIVES
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