AI exposure Production
Will AI replace tailors?
Tailors, Dressmakers, and Custom Sewers. US occupation 51-6052.
The reading
3.4%
of the time tailors spend on their work goes on tasks where AI is already being used to do that work.of tailors' working hours go on tasks AI has already started taking off their plate.
Ranked 289 of 756 US occupations. More exposed than 61% of them.Further along than 61% of them.
Per cent of working time Square-law scale
Average US job 7.7%
Around the middle of the pack.Keeping pace with the average job.
What AI already does for tailorsWhat tailors no longer do alone
O*NET lists 22 tasks for tailors. AI use at work shows up in 1 of them. Each score runs from 0.5, where every observed use helps a person with the task, to 1, where every use does the task outright.
- Develop, copy, or adapt designs for garments, and design patterns to fit measurements, applying knowledge of garment design, construction, styling, and fabric.Core task mostly automated 0.89
What it does not touch, yetWhat still needs a human
21 of the 22 tasks show no AI use at work in the data.
- Assemble garment parts and join parts with basting stitches, using needles and thread or sewing machines.Core task
- Confer with customers to determine types of material and garment styles desired.Core task
- Estimate how much a garment will cost to make, based on factors such as time and material requirements.Core task
- Examine tags on garments to determine alterations that are needed.Core task
- Fit and study garments on customers to determine required alterations.Core task
- Fit, alter, repair, and make made-to-measure clothing, according to customers' and clothing manufacturers' specifications and fit, and applying principles of garment design, construction, and styling.Core task
Show the other 15
- Let out or take in seams in suits and other garments to improve fit.Core task
- Maintain garment drape and proportions as alterations are performed.Core task
- Make garment style changes, such as tapering pant legs, narrowing lapels, and adding or removing padding.Core task
- Measure customers, using tape measures, and record measurements.Core task
- Measure parts, such as sleeves or pant legs, and mark or pin-fold alteration lines.Core task
- Position patterns of garment parts on fabric, and cut fabric along outlines, using scissors.Core task
- Press garments, using hand irons or pressing machines.Core task
- Put in padding and shaping materials.Core task
- Record required alterations and instructions on tags, and attach them to garments.Core task
- Remove stitches from garments to be altered, using rippers or razor blades.Core task
- Repair or replace defective garment parts, such as pockets, zippers, snaps, buttons, and linings.Core task
- Sew buttonholes and attach buttons to finish garments.Core task
- Sew garments, using needles and thread or sewing machines.Core task
- Take up or let down hems to shorten or lengthen garment parts, such as sleeves.Core task
- Trim excess material, using scissors.Core task
How that compares
Among the 98 production occupations, tailors rank 9. 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%.
Just above in the ranking
- 284Music Directors and Composers 3.7%
- 287Environmental Engineers 3.6%
- 287Marine Engineers and Naval Architects 3.6%
Just below
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.