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JOB REPORT / 51-6052 · 22 TASKS

Tailors, Dressmakers, and Custom Sewers.

Can AI do the work of Tailors, Dressmakers, and Custom Sewers?

Mostly it works alongside you. Here is what shifts, task by task.

YOUR EXPERIENCE MATTERS

How does this fit your work?

How many tasks do you use AI to assist with at work?

Drag the dot. There’s no wrong answer; it starts at our estimate.

Starting pointOur estimate

The mark shows what’s typical for this job.

The parts of your job AI can already do most of:

  • Estimate how much a garment will cost to make…

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A free set of short lessons, about 20 minutes each, at your own pace. No payment, no experience needed.

WHAT WE LOOKED AT

Your job, task by task.

3 of 22 tasks reviewed

This job has 22 core tasks. We went through 3 of them, one at a time.

Task by task, from the work Tailors, Dressmakers, and Custom Sewers actually do. How we describe AI use in each task is our own read of it, not a measurement of whether AI can replace the job.

  1. TASK 01

    Estimate how much a garment will cost to make, based on factors such as time and material requirements.

    AI DOES

    Pulls fabric prices, suggests time ranges, and builds cost breakdowns from garment specs

    YOU DO

    Apply your real-world sewing experience to judge true construction time and material waste

  2. TASK 02SOURCE-BACKED TASK

    Develop, copy, or adapt designs for garments, and design patterns to fit measurements, applying knowledge of garment design, construction, styling, and fabric.

    AI DOES

    Generates pattern variations and suggests fabric combinations

    YOU DO

    Choose what feels right and fits the vision

    About this analysis

    37% · Methodology: exposure-v1 · Analysis date: unavailable · Confidence: medium

  3. TASK 03SOURCE-BACKED TASK

    Confer with customers to determine types of material and garment styles desired.

    AI DOES

    Suggests styles based on customer preferences and trends

    YOU DO

    Read body language and build rapport

    About this analysis

    30% · Methodology: exposure-v1 · Analysis date: unavailable · Confidence: medium

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Data sources and attribution

This page includes information from the O*NET 30.3 Database by the U.S. Department of Labor, Employment and Training Administration (USDOL/ETA). Used under the CC BY 4.0 license. rtwoai has modified all or some of this information. USDOL/ETA has not approved, endorsed, or tested these modifications. O*NET® is a trademark of USDOL/ETA.

Wage and employment figures are from the U.S. Bureau of Labor Statistics, Occupational Employment and Wage Statistics (2025). Job outlook is from the BLS Employment Projections program, 2024–34. BLS data are in the public domain. BLS has not reviewed or endorsed this page.

Task collaboration data is from the Anthropic Economic Index, release 2025-03-27, used under the CC BY 4.0 license. Anthropic has not reviewed or endorsed this page.

How we describe AI use in each task is our own characterization, not a measurement of whether AI can replace this job. Microsoft note that their metrics "should not be misconstrued or misrepresented as measuring the ability of AI to replace jobs," and that there is more to an occupation than the sum of its tasks.