AI JOB RISK SCANNER
O*NET-SOC 51-6063.00 / model V11 rated-task engine

Will AI replace
Textile Knitting and Weaving Machine Setters, Operators, and Tenders?

Set up, operate, or tend machines that knit, loop, weave, or draw in textiles.

Estimated AI task exposure
38%

Low-Moderate exposure

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

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

Digital/info work

50/100

Physical moat

61/100

Human moat

12/100

Rating coverage

100%

19 task statements / 19 rated

Highest-weighted occupation tasks

Thread yarn, thread, and fabric through guides, needles, and rollers of machines for weaving, knitting, or other processing.
Importance 90/100Relevance 100/100Frequency 92/100Weight 0.94
Observe woven cloth to detect weaving defects.
Importance 91/100Relevance 84/100Frequency 88/100Weight 0.88
Notify supervisors or repair staff of mechanical malfunctions.
Importance 86/100Relevance 99/100Frequency 71/100Weight 0.87
Inspect products to ensure that specifications are met and to determine if machines need adjustment.
Importance 87/100Relevance 90/100Frequency 84/100Weight 0.87
Inspect machinery to determine whether repairs are needed.
Importance 80/100Relevance 91/100Frequency 79/100Weight 0.84
Start machines, monitor operations, and make adjustments as needed.
Importance 83/100Relevance 84/100Frequency 82/100Weight 0.83
Examine looms to determine causes of loom stoppage, such as warp filling, harness breaks, or mechanical defects.
Importance 87/100Relevance 73/100Frequency 85/100Weight 0.81
Remove defects in cloth by cutting and pulling out filling.
Importance 88/100Relevance 76/100Frequency 80/100Weight 0.81
Stop machines when specified amounts of product have been produced.
Importance 81/100Relevance 84/100Frequency 69/100Weight 0.79
Confer with co-workers to obtain information about orders, processes, or problems.
Importance 75/100Relevance 77/100Frequency 72/100Weight 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

$39,530

BLS OEWS May 2025

National employment

13,030

BLS OEWS May 2025

Projected growth

-13.7%

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

      PROTECT

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

      LEARN

      • AI-assisted diagnostics
      • digital documentation

      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
      I am your guide.
      Knowledge is your strongest upgrade.