Will AI replace fabric and apparel patternmakers?

Not on current evidence. Less than 30 minutes of a typical shift goes to tasks that AI or robots are doing today. The other 8h (100%) stays with people. Separately, BLS expects about 15% fewer of these jobs by 2035 (all jobs: +3.5%).

None of this job's tasks show regular AI use yet. That can mean the work is hands-on or in person, or simply that it rarely comes up in AI usage data.

Not in workplaces like this one, based on a 2026 review of robot deployments. 5 more tasks have only been done in factory setups built around the machine, so they stay with people here. For 2 physical tasks, no robot has shown it can do the work yet.

8h of a typical shift, or 100%, 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:

• Create a master pattern for each size within a range of garment sizes, using charts, drafting instruments, computers, or grading devices. (50m a shift)
• Draw outlines of pattern parts by adapting or copying existing patterns, or by drafting new patterns. (50m a shift)
• Make adjustments to patterns after fittings. (44m a shift)
• Input specifications into computers to assist with pattern design and pattern cutting. (37m a shift)
• 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. (37m 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:

• 87% talk face to face with others every day
• 62% use their hands on tools, objects or controls more than half the time
• 57% say a mistake would be very or extremely serious

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 200 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 $62,750 a year ($30.17 an hour), 23% above the median for all U.S. jobs ($50,980). Most people in this job earn between $33,790 and $123,540 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 15% from 2025 to 2035, compared with 3.5% growth for all jobs. That's about 2,600 jobs in 2035. Even so, it expects about 200 openings a year, mostly from people retiring or changing careers. These projections don't single out AI as a cause.

About 2,950 people in the U.S., roughly 0.00% of all workers (BLS, May 2025). That makes it the 761st largest of the 796 jobs on this site. BLS expects about 2,600 in 2035.

The most common requirement is a high school diploma: about 41% of people in the job said so in the official O*NET survey. O*NET rates the job at level 3 of 5 for preparation, which usually means: vocational school or associate's degree. 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: Quality Control Analysis, Mathematics, Operations Monitoring, Critical Thinking
• Get strong at the parts of the job that stay with people (listed above), which take 8h of a typical shift
• Tools employers list: Microsoft Office software, Microsoft Excel, Autodesk AutoCAD, Adobe Photoshop, Adobe InDesign

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:

• Patternmakers, Metal and Plastic (0m touched, $58k median pay)
• Wood Patternmakers (6m touched, $50k median pay)

Each task carries its own evidence label. For this job: 16 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.