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AI Job Risk

Occupation baseline · Research consensus

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

Lower risk

Baseline AI displacement risk for Textile Knitting and Weaving Machine Setters, Operators, and Tenders, aggregated from 5 research sources.

What this score means

Textile Knitting and Weaving Machine Setters, Operators, and Tenders is among the least exposed roles in Manufacturing. Most of what the job involves still sits outside what current AI can do, even as the tools around it keep changing. At 18 out of 100 it sits close to the Manufacturing average of 19. Across the 5 sources behind this baseline, individual estimates run from 5 to 43, so the score is a weighted consensus rather than any single figure.

The number is a consensus estimate for the typical version of the role, built from published academic and industry research scored occupation by occupation. It is not a prediction about any individual. How scoring works

What this job actually involves

Exposure follows the work itself rather than the job title, so it is worth seeing what the role is made of. These are the tasks O*NET records for Textile Knitting and Weaving Machine Setters, Operators, and Tenders, most central first, showing 12 of 19.

  • 01Observe woven cloth to detect weaving defects.
  • 02Thread yarn, thread, and fabric through guides, needles, and rollers of machines for weaving, knitting, or other processing.
  • 03Remove defects in cloth by cutting and pulling out filling.
  • 04Examine looms to determine causes of loom stoppage, such as warp filling, harness breaks, or mechanical defects.
  • 05Inspect products to ensure that specifications are met and to determine if machines need adjustment.
  • 06Notify supervisors or repair staff of mechanical malfunctions.
  • 07Start machines, monitor operations, and make adjustments as needed.
  • 08Stop machines when specified amounts of product have been produced.
  • 09Inspect machinery to determine whether repairs are needed.
  • 10Confer with co-workers to obtain information about orders, processes, or problems.
  • 11Operate machines for test runs to verify adjustments and to obtain product samples.
  • 12Program electronic equipment.

Task statements from O*NET by the National Center for O*NET Development, used under CC BY 4.0. The tasks are descriptive; the exposure score above is ours.

The research behind this score

This baseline aggregates 5 research sources that scored Textile Knitting and Weaving Machine Setters, Operators, and Tenders for AI and automation exposure. More recent, higher confidence studies carry more weight in the final number.

Common questions

How likely is AI to replace Textile Knitting and Weaving Machine Setters, Operators, and Tenders?
Published research puts Textile Knitting and Weaving Machine Setters, Operators, and Tenders at 18 out of 100 for AI displacement risk, in the lower risk band. The number is a weighted consensus of 5 research sources and describes the typical version of the role, not any individual.
Do researchers agree on the risk for Textile Knitting and Weaving Machine Setters, Operators, and Tenders?
Only partly. Individual estimates for Textile Knitting and Weaving Machine Setters, Operators, and Tenders run from 5 to 43 out of 100 across the 5 sources behind this score, so the single number smooths over real disagreement. More recent and higher confidence studies carry more weight in it.
Which manufacturing roles face similar AI exposure?
The closest published manufacturing roles to Textile Knitting and Weaving Machine Setters, Operators, and Tenders by score are Aircraft Structure, Surfaces, Rigging, and Systems Assemblers (18/100), Biofuels Processing Technicians (18/100), and Electrical and Electronic Equipment Assemblers (18/100). Each has its own page with the research behind its number.

Also covers

Automated Weaver · Automatic Full-Fashioned Hosiery Knitting Machine Operator · Automatic Pad-Making Machine Operator · Belt Weaver · Blanket Weaver · Braid Pattern Setter · Broadloom Weaver · Carpet Loom Fixer and related titles

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Informational guidance based on published research, not professional career or financial advice. Scores update as new research is ingested.