AI exposure Production
Will AI replace sewers?
Sewers, Hand. US occupation 51-6051.
The reading
0.0%
of the time sewers spend on their work goes on tasks where AI is already being used to do that work.of sewers' working hours go on tasks AI has already started taking off their plate.
Ranked 346 of 756 US occupations. No AI use seen in the work yet, along with 410 other occupations.No handover started yet, along with 410 other occupations.
Per cent of working time Square-law scale
Average US job 7.7%
Among the least exposed jobs there are.Still waiting for liberation.
What AI already does for sewersWhat sewers no longer do alone
O*NET lists 10 tasks for sewers. None of them shows meaningful AI use at work yet.
What it does not touch, yetWhat still needs a human
10 of the 10 tasks show no AI use at work in the data.
- Measure and align parts, fasteners, or trimmings, following seams, edges, or markings on parts.Core task
- Select thread, twine, cord, or yarn to be used, and thread needles.Core task
- Sew, join, reinforce, or finish parts of articles, such as garments, books, mattresses, toys, and wigs, using needles and thread or other materials.Core task
- Trim excess threads or edges of parts, using scissors or knives.Core task
- Use different sewing techniques such as felling, tacking, basting, embroidery, and fagoting.Core task
- Draw and cut patterns according to specifications.
Show the other 4
- Fold, twist, stretch, or drape material, and secure articles in preparation for sewing.
- Sew buttonholes, or add lace or other trimming.
- Smooth seams with heated irons, flat bones, or rubbing sticks.
- Tie, knit, weave or knot ribbon, yarn, or decorative materials.
How that compares
Among the 98 production occupations, sewers rank 83. The group averages 0.8%, and its most exposed job is Computer Numerically Controlled Tool Programmers at 12.1%. The average US occupation sits at 7.7%.
Level with 0.0%
What this does and does not mean
Exposure is observed use, not a forecast. Anthropic maps work conversations with Claude onto the tasks O*NET lists for each job and asks, of the tasks AI could speed up, which are actually being used for at work. A use that does the task outright counts in full and a use that assists a person counts half. The task scores are averaged into the occupation figure by the share of time spent on each task.
A high figure means AI is already part of how this work gets done. It does not mean anyone has been replaced. Anthropic's own reading of the labour market finds no systematic rise in unemployment among exposed workers so far, and about 14% fewer 22 to 25 year olds starting exposed jobs.No measurable rise in unemployment among exposed workers so far, and about 14% fewer 22 to 25 year olds starting these jobs. Gap years for everyone. Labor market impacts, 5 March 2026.
Task list and titles from O*NET 31.0 by the US Department of Labor, Employment and Training Administration, used under the CC BY 4.0 licence. Scores from the Anthropic Economic Index (CC BY). Checked 1 November 2026. How the ranking works.