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How exposed to AI is a Textile Knitting and Weaving Machine Setters, Operators, and Tender?

Of the 20 tasks O*NET lists for textile knitting and weaving machine setters, operators, and tenders, 0 could be done in half the time with a chat window today. 15 cannot be sped up at all. Here is which.

Exposure means published research judged an AI could halve the time a task takes, at the same quality. It does not mean the task stops needing a person. How to read this

Also called
KnitterKnitting Machine OperatorLoom FixerMachine OperatorOperatorTufting Machine OperatorTufting OperatorWarp Knit OperatorWeaverWinder Operator
Reachable today Needs software built first Cannot be sped up
20
tasks rated for this occupation
0%
hold a degree, from a survey of 22
16k
people do this job in the US
17 of 107
least protected in production

Every task, and what AI can do with it

These are O*NET's task statements for this occupation, exactly as written, sorted into the three bands by the ratings behind this report. Nothing has been reworded.

Only with software built on top

5
  • Notify supervisors or repair staff of mechanical malfunctions
  • Record information about work completed and machine settings
  • Confer with co-workers to obtain information about orders, processes, or problems
  • Program electronic equipment
  • Study guides, loom patterns, samples, charts, or specification sheets, or confer with supervisors or engineering staff to determine setup requirements

Cannot be sped up

15
  • Remove defects in cloth by cutting and pulling out filling
  • Inspect products to ensure that specifications are met and to determine if machines need adjustment
  • Observe woven cloth to detect weaving defects
  • Thread yarn, thread, and fabric through guides, needles, and rollers of machines for weaving, knitting, or other processing
  • Examine looms to determine causes of loom stoppage, such as warp filling, harness breaks, or mechanical defects
  • Set up, or set up and operate textile machines that perform textile processing and manufacturing operations such as winding, twisting, knitting, weaving, bonding, or stretching
  • Start machines, monitor operations, and make adjustments as needed
  • Inspect machinery to determine whether repairs are needed
  • Stop machines when specified amounts of product have been produced
  • Clean, oil, and lubricate machines, using air hoses, cleaning solutions, rags, oil cans, or grease guns
  • Operate machines for test runs to verify adjustments and to obtain product samples
  • Wash and blend wool, yarn, or cloth
  • Repair or replace worn or defective needles and other components, using hand tools
  • Install, level, and align machine components such as gears, chains, guides, dies, cutters, or needles to set up machinery for operation
  • Adjust machine heating mechanisms, tensions, and speeds to produce specified products
What this does not say

This is not a prediction about your job

Nobody surveyed an employer. Tasks are counted equally, so a percentage here is a share of the list rather than a share of your week. And the ratings were made in 2023, which makes every figure a floor rather than a ceiling.

It must never be used to select anyone for redundancy. The full limits are here.

Where to go next

This is the standard task list for the title. The useful next question is which of the tasks you actually do should go near AI, and which should not.

Sort your own tasks Read the full report

Exposure ratings from Eloundou, Manning, Mishkin and Rock, GPTs are GPTs: Labor market impact potential of LLMs, Science 384, 1306–1308, 2024, used under the MIT licence. This page includes information from the O*NET Database by the U.S. Department of Labor, Employment and Training Administration (USDOL/ETA), used under the CC BY 4.0 license. O*NET® is a trademark of USDOL/ETA. People Team AI has modified all or some of this information. USDOL/ETA has not approved, endorsed, or tested these modifications. Employment figures from the US Bureau of Labor Statistics.