Will AI replace Sewers, Hand?
AI reaches little of this job’s work.
7/100
Low exposure
More exposed to AI than 14% of US workers.
- AI already used in
- 0% of the work
- As AI tools mature: up to
- 14% of the work
What the job involves
Sew, join, reinforce, or finish, usually with needle and thread, a variety of manufactured items. Includes weavers and stitchers.
Where AI reaches the work
The job’s main tasks, heaviest first, by how far AI reaches them.
Within reach(1)
- Select thread, twine, cord, or yarn to be used, and thread needles.
Out of reach(9)
- Trim excess threads or edges of parts, using scissors or knives.
- Measure and align parts, fasteners, or trimmings, following seams, edges, or markings on parts.
- Use different sewing techniques such as felling, tacking, basting, embroidery, and fagoting.
- Sew, join, reinforce, or finish parts of articles, such as garments, books, mattresses, toys, and wigs, using needles and thread or other materials.
- Smooth seams with heated irons, flat bones, or rubbing sticks.
and 4 more
Also called
Baseball Hand Sewer · Hand Finisher · Hand Stitcher · Hand Weaver · Hosiery Mender · Stitcher · Hand Knitter · Hand Sewer
Related jobs
What these numbers mean
The score is the share of this job’s work, weighted by how important and frequent each task is, that AI could do in half the time: tasks an AI model could do alone count in full, tasks that need software built on AI count half.
“AI already used” is the share of the work in tasks where people are recorded using AI today. “As AI tools mature” counts every task AI could halve, with or without extra software.
The percentile compares the score with every job’s, weighted by how many people in the US do each one. Exposure means AI could change how the work is done, not that the job goes away. These are estimates for the typical job, not predictions.
Sources
- O*NET 31.0 Database, U.S. Department of Labor, Employment and Training Administration
- GPTs are GPTs: Labor market impact potential of LLMs (task labels), Eloundou, Manning, Mishkin & Rock (2023), OpenAI and University of Pennsylvania
- Anthropic Economic Index: labor market impacts (task penetration), Anthropic
- Occupational Employment and Wage Statistics, May 2025 (national and metropolitan areas), U.S. Bureau of Labor Statistics