Weaving and knitting machine operators
An AI agent can at least partly carry out 5.4% of the task time of weaving and knitting machine operators, and finish 0.0% alone. The barrier that holds most of the rest back is access to the systems the work runs on.
390th of 433 · interval 0.0–16.5
201st of 433 · interval 0.0–0.0
314th of 433 · interval 14.3–26.3
task statements rated by two models and weighted by importance and frequency. World employment: 0.5 million.
How the tasks rate
What stops the agent
Share of task weight flagged by each barrier; a task can carry several.
| Task statement (O*NET occupation) | Weight | Level | Sonnet · Haiku | Share | Human time | Barriers |
|---|---|---|---|---|---|---|
| Thread yarn, thread, and fabric through guides, needles, and rollers of machines for weaving, knitting, or other processing.Textile Knitting and Weaving Machine Setters, Operators, and Tenders | 6.6% | L0 | L0L0 | 4% | 28 min | Physical presence |
| Observe woven cloth to detect weaving defects.Textile Knitting and Weaving Machine Setters, Operators, and Tenders | 6.5% | L1 | L1L2 | 28% | 18 min | Physical presence, Access to systems |
| Examine looms to determine causes of loom stoppage, such as warp filling, harness breaks, or mechanical defects.Textile Knitting and Weaving Machine Setters, Operators, and Tenders | 6.1% | L1 | L1L1 | 15% | 18 min | Physical presence, Access to systems |
| Inspect products to ensure that specifications are met and to determine if machines need adjustment.Textile Knitting and Weaving Machine Setters, Operators, and Tenders | 6.0% | L1 | L1L2 | 30% | 15 min | Physical presence, Access to systems |
| Remove defects in cloth by cutting and pulling out filling.Textile Knitting and Weaving Machine Setters, Operators, and Tenders | 5.8% | L0 | L0L0 | 2% | 12 min | Physical presence |
| Start machines, monitor operations, and make adjustments as needed.Textile Knitting and Weaving Machine Setters, Operators, and Tenders | 5.7% | L1 | L1L1 | 18% | 4.3 h | Physical presence, Access to systems |
| 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.Textile Knitting and Weaving Machine Setters, Operators, and Tenders · supplemental task | 5.6% | L0 | L0L1 | 12% | 1.3 h | Physical presence, Access to systems |
| Program electronic equipment.Textile Knitting and Weaving Machine Setters, Operators, and Tenders · supplemental task | 5.4% | L2 | L2L2 | 45% | 45 min | Physical presence, Access to systems |
| Inspect machinery to determine whether repairs are needed.Textile Knitting and Weaving Machine Setters, Operators, and Tenders | 5.3% | L1 | L1L1 | 20% | 20 min | Physical presence, Access to systems |
| Record information about work completed and machine settings.Textile Knitting and Weaving Machine Setters, Operators, and Tenders · supplemental task | 5.3% | L1 | L1L2 | 45% | 12 min | Physical presence, Access to systems |
| Notify supervisors or repair staff of mechanical malfunctions.Textile Knitting and Weaving Machine Setters, Operators, and Tenders | 5.2% | L1 | L1L2 | 38% | 8 min | Physical presence, Access to systems |
| Install, level, and align machine components such as gears, chains, guides, dies, cutters, or needles to set up machinery for operation.Textile Knitting and Weaving Machine Setters, Operators, and Tenders · supplemental task | 4.9% | L0 | L0L1 | 10% | 1.3 h | Physical presence, Access to systems |
| Stop machines when specified amounts of product have been produced.Textile Knitting and Weaving Machine Setters, Operators, and Tenders | 4.8% | L1 | L1L1 | 15% | 5 min | Physical presence, Access to systems |
| Study guides, loom patterns, samples, charts, or specification sheets, or confer with supervisors or engineering staff to determine setup requirements.Textile Knitting and Weaving Machine Setters, Operators, and Tenders · supplemental task | 4.7% | L1 | L1L2 | 42% | 32 min | Physical presence, Access to systems |
| Confer with co-workers to obtain information about orders, processes, or problems.Textile Knitting and Weaving Machine Setters, Operators, and Tenders | 4.7% | L1 | L1L2 | 25% | 15 min | Physical presence, Trust and care, Access to systems |
Show the other 4 tasks
| Task statement (O*NET occupation) | Weight | Level | Sonnet · Haiku | Share | Human time | Barriers |
|---|---|---|---|---|---|---|
| Repair or replace worn or defective needles and other components, using hand tools.Textile Knitting and Weaving Machine Setters, Operators, and Tenders · supplemental task | 4.7% | L0 | L0L1 | 6% | 25 min | Physical presence, Access to systems |
| Clean, oil, and lubricate machines, using air hoses, cleaning solutions, rags, oil cans, or grease guns.Textile Knitting and Weaving Machine Setters, Operators, and Tenders · supplemental task | 4.6% | L0 | L0L0 | 4% | 30 min | Physical presence, Access to systems |
| Adjust machine heating mechanisms, tensions, and speeds to produce specified products.Textile Knitting and Weaving Machine Setters, Operators, and Tenders · supplemental task | 4.1% | L1 | L1L1 | 12% | 28 min | Physical presence, Access to systems |
| Operate machines for test runs to verify adjustments and to obtain product samples.Textile Knitting and Weaving Machine Setters, Operators, and Tenders | 3.9% | L0 | L0L1 | 12% | 45 min | Physical presence, Access to systems |
Level: consensus of the two models (the lower level when they disagree). Share: part of the task’s working time an agent could take over. Human time: minutes a competent person needs for one instance, as estimated by the models.
Exposure is not delegation
| Measure | Value | Percentile |
|---|---|---|
| ADI (this index) | 5.4% | 10 |
| Eloundou et al. (2024), GPT exposure β | 0.187 | 33 |
| Felten et al. (2021), AI occupational exposure | -1.242 | 10 |
| Webb (2020), AI patent exposure | 100 | 99 |
| Eisfeldt et al. (2026), generative AI exposure | 0.15 | 47 |
| Anthropic Economic Index, observed use | 0.032 | 55 |
Earlier indices measure whether AI can touch a task; ADI measures how much of it an agent can carry out from a goal. – : the source does not cover this occupation.
Neighbouring occupations
Dashed line: weaving and knitting machine operators (5.4%).
Espinal Maya, Cristian, and Santiago Jiménez Londoño. 2026. ADI v2026.1: Agent Delegability Index data, code and MCP server. Zenodo. https://doi.org/10.5281/zenodo.23552918. Record: Weaving and knitting machine operators (ISCO-08 8152), https://balamlabs.org/adi/occupations/8152
@misc{espinal2026adidata,
title = {{ADI} v2026.1: Agent Delegability Index data, code and {MCP} server},
author = {Espinal Maya, Cristian and Jim{\'e}nez Londo{\~n}o, Santiago},
year = {2026},
publisher = {Zenodo},
version = {v2026.1},
doi = {10.5281/zenodo.23552918},
url = {https://doi.org/10.5281/zenodo.23552918},
note = {Record: Weaving and knitting machine operators (ISCO-08 8152)}
}The same record as static JSON, with its citation: /adi/v2026.1/isco/8152.json.