Will AI replace Fabric and Apparel Patternmakers?
AI reaches little of this job’s work.
18/100
Low exposure
More exposed to AI than 32% of US workers.
- AI already used in
- 0% of the work
- As AI tools mature: up to
- 37% of the work
What the job involves
Draw and construct sets of precision master fabric patterns or layouts. May also mark and cut fabrics and apparel.
Where AI reaches the work
The job’s main tasks, heaviest first, by how far AI reaches them.
Within reach(6)
- Draw outlines of pattern parts by adapting or copying existing patterns, or by drafting new patterns.
- Create a paper pattern from which to mass-produce a design concept.
- Determine the best layout of pattern pieces to minimize waste of material, and mark fabric accordingly.
- Input specifications into computers to assist with pattern design and pattern cutting.
- Create a master pattern for each size within a range of garment sizes, using charts, drafting instruments, computers, or grading devices.
and 1 more
Out of reach(10)
- Mark samples and finished patterns with information, such as garment size, section, style, identification, and sewing instructions.
- Make adjustments to patterns after fittings.
- Position and cut out master or sample patterns, using scissors and knives, or print out copies of patterns, using computers.
- Draw details on outlined parts to indicate where parts are to be joined, as well as the positions of pleats, pockets, buttonholes, and other features, using computers or drafting instruments.
- Examine sketches, sample articles, and design specifications to determine quantities, shapes, and sizes of pattern parts, and to determine the amount of material or fabric required to make a product.
and 5 more
Also called
Designer · Patternmaker · Embroidery Patternmaker · Pleat Patternmaker · Fabric Cutter · Pattern Maker · Clothing Pattern Preparer · Clothing Patternmaker
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