Will AI replace tailors, dressmakers, and custom sewers?

Not on current evidence. Less than 30 minutes of a typical shift goes to tasks that AI or robots are doing today. The breakdown: 7m that AI mostly does alone, 14m that robots have done in real workplaces. The other 7h 39m (96%) stays with people. Separately, BLS expects about 8.8% fewer of these jobs by 2035 (all jobs: +3.5%).

AI shows up regularly in 1 of 22 tasks, about 7m of a typical shift. The biggest ones:

• Develop, copy, or adapt designs for garments, and design patterns to fit measurements, applying knowledge of garment design, construction, styling, and fabric. (7m a shift, AI mostly does it alone)

For some tasks, yes. Robots have done 1 of this job's tasks in workplaces like this one, about 14m of a typical shift. 6 more tasks have only been done in factory setups built around the machine, so they stay with people here. For 12 physical tasks, no robot has shown it can do the work yet.

• Measure customers, using tape measures, and record measurements. (14m a shift; e.g. VITUS Smart XXL 3D body scanner (Human Solutions of North America), in use)

7h 39m of a typical shift, or 96%, goes to tasks with no AI or robot evidence yet. No AI usage or robot deployment has shown up for these so far. The biggest:

• Sew garments, using needles and thread or sewing machines. (1h 21m a shift)
• Take up or let down hems to shorten or lengthen garment parts, such as sleeves. (47m a shift)
• Repair or replace defective garment parts, such as pockets, zippers, snaps, buttons, and linings. (41m a shift)
• Measure parts, such as sleeves or pant legs, and mark or pin-fold alteration lines. (34m a shift)
• Let out or take in seams in suits and other garments to improve fit. (34m a shift)

Much of it comes down to where and how the work happens. In-person, hands-on and high-stakes work is where AI and robots have made the least headway so far. In the official O*NET survey of people in this job:

• 95% use their hands on tools, objects or controls more than half the time
• 76% say dealing with the public is very or extremely important
• 62% work at arm's length or closer to other people

On Indeed, job postings in the Production & Manufacturing sector are at 124% of their February 2020 level (all U.S. postings: 104%), up 12.6% from a year earlier, as of Oct 9, 2026. BLS separately expects about 3,700 openings a year in this job through 2035. Across all U.S. postings, 7.3% now mention AI skills. Sector postings cover more than this one job and move for many reasons besides AI.

The median pay is about $41,640 a year ($20.02 an hour), 18% below the median for all U.S. jobs ($50,980). Most people in this job earn between $29,920 and $63,670 a year; that range covers the middle 80%. Pay figures are from BLS, May 2025, and vary a lot by state and employer. Pick a state to compare:

BLS projects a decline of 8.8% from 2025 to 2035, compared with 3.5% growth for all jobs. That's about 30,000 jobs in 2035. Even so, it expects about 3,700 openings a year, mostly from people retiring or changing careers. These projections don't single out AI as a cause.

About 14,000 people in the U.S., roughly 0.01% of all workers (BLS, May 2025). That makes it the 609th largest of the 796 jobs on this site. BLS expects about 30,000 in 2035.

The most common requirement is a high school diploma: about 58% of people in the job said so in the official O*NET survey. O*NET rates the job at level 2 of 5 for preparation, which usually means: high school diploma, some training. Requirements vary by state and employer, especially for licensed work.

These come from the job's official skill ratings and from the tasks that AI and robots touch least today. Building them keeps you strong in the parts of the work that still need a person:

• Skills that matter more here than in most jobs: Time Management, Speaking, Critical Thinking, Active Listening
• Get strong at the parts of the job that stay with people (listed above), which take 7h 39m of a typical shift
• Tools employers list: Google Docs, Microsoft Excel, Microsoft Office software, Microsoft Word
• Learn to use AI well on the tasks where it already shows up in this job (listed above)

These use similar skills. Matches come from 109 official ratings of skills, knowledge and work activities, and each needs the same or less preparation unless the official list relates the jobs directly:

• Hand Sewers (0m touched, $36k median pay)
• Pressers, Textile, Garment, and Related Materials (40m touched, $35k median pay)
• Welders, Cutters, Solderers, and Brazers (29m touched, $54k median pay)
• Sewing Machine Operators (19m touched, $37k median pay)
• Ophthalmic Laboratory Technicians (40m touched, $39k median pay)

Each task carries its own evidence label. For this job: 1 observed in real AI use, 1 with robots in real deployments, 20 with no AI or robot evidence found. The minutes per task are estimates, not measured hours, and "no evidence" doesn't prove a task is safe.