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Fabric and Apparel Patternmakers

Occupation · SOC 51-6092.00

Draw and construct sets of precision master fabric patterns or layouts. May also mark and cut fabrics and apparel.

Also called: Designer · Pattern Designer · Pattern Maker · Production Pattern Maker · Cutter · Fabric Cutter · Pattern Technician · Sewing Pattern Layout Technician · Technical Designer · Apparel Patternmaker · Clothing Pattern Preparer · Clothing Patternmaker

Job family: Production Occupations

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Download .md

A source-stamped Markdown brief of this occupation — paste it into an agent, or fetch /roles/role-51-6092-00/context.md directly.

AI work map

A fast read on where AI already shows up in this occupation, where it stays a copilot, where humans remain in the loop, and what the labor market is doing. Built from observed Claude.ai conversations mapped to O*NET tasks and from published research — measures of usage and exposure, not advice or predictions that the job is going away.

45th-percentile task overlap — yet about 300 openings a year (-10.2% projected, BLS) . What exposure means →

AI & job outlook

What today's research says about this occupation's exposure to AI, how AI is actually being used in it, and where employment is headed. These are positions within published studies — measures of exposure and usage, not predictions that this job will disappear.

Exposure to current AI

Each study uses its own scale, so the raw scores are not comparable across rows — the percentile (this job's rank among all U.S. occupations with data) is the comparable figure, and sizes the bars.

Measure Rank vs all occupations Percentile Score
Overall AI exposure (Felten et al.) Moderate 46th -0.1
LLM task exposure, γ (OpenAI / Eloundou) High 67th 0.8
AI assistant applicability (Microsoft) Low 26th 0.1

OpenAI's exposure study scores tasks three ways: with a language model alone (α 0.1), with simple added tooling (β 0.5), and including AI-powered software (γ 0.8). Higher means more of the job's tasks could be done at least twice as fast — not that they will be automated away.

Most of this job's tasks can be done remotely (Dingel–Neiman), which tends to track with higher digital and AI exposure.

Historical automation estimate (2013)

A pre-LLM (2013) estimate of how automatable this job is by computerization and robotics. Shown for historical context only — it is not part of any current AI ranking.

Frey–Osborne probability 0.0 · 4th percentile among occupations · Low

Job outlook

Independent U.S. Bureau of Labor Statistics employment projection for 2024–2034 — a labor-market forecast, not an AI-impact forecast.

Outlook Declining · -10.2% by 2034
Projected annual openings 300
Employment 2024 → 2034 2,800 → 2,500

“Annual openings” counts new jobs plus replacements for workers who leave the occupation, so it can be large even when growth is modest.

Where this work sits on the global GenAI gradient

The ILO's 2025 global study scores generative-AI exposure on the international ISCO-08 occupation system, not US SOC. Bridged through the published (and approximate, many-to-many) IBS O*NET-SOC ↔ ISCO-08 crosswalk, this US occupation corresponds to the international occupation below. Exposure here means how much of the work's tasks today's AI can attempt — task overlap, not automation, adoption, or jobs lost.

17% mean task exposure (2025)
21st percentile of 427 placed occupations
−11 pts shift 2023 → 2025
International occupation (ISCO-08) Task exposure (2025) Most tasks fall in
Garment and Related Patternmakers and Cutters · 7532 17% Not exposed

Read the whole six-band gradient on the GenAI exposure gradient page. The crosswalk is approximate: a US occupation can map to several international ones, and the ILO scores describe the international occupation, not this exact US role.

Tasks

All 16 tasks O*NET lists for this occupation, ordered by importance. Each links to its own page with AI-exposure and observed-use detail.

Work activities

Knowledge, skills & abilities

O*NET importance rating, from 1 (not important) to 5 (extremely important).

Knowledge

Design 4.2
Mathematics 4.0
English Language 3.9
Production and Processing 3.9
Education and Training 3.4

Abilities

Visualization 4.0
Near Vision 4.0
Originality 3.8
Information Ordering 3.8
Written Comprehension 3.6
Oral Expression 3.6
Deductive Reasoning 3.6
Mathematical Reasoning 3.6
Number Facility 3.5
Finger Dexterity 3.5
Oral Comprehension 3.4
Category Flexibility 3.4
Fluency of Ideas 3.3
Problem Sensitivity 3.3
Inductive Reasoning 3.3
Perceptual Speed 3.3
Selective Attention 3.3
Written Expression 3.1
Flexibility of Closure 3.1
Arm-Hand Steadiness 3.1
Manual Dexterity 3.1
Far Vision 3.1
Speech Recognition 3.1
Speech Clarity 3.1

Essential skills

Critical Thinking 3.8
Active Listening 3.4
Reading Comprehension 3.1
Speaking 3.1
Mathematics 3.1
Active Learning 3.1
Monitoring 3.1
Writing 3.0

Transferable skills

Judgment and Decision Making 3.3
Time Management 3.3
Quality Control Analysis 3.1

Skills in demand

Skills employers ask for in job postings for this occupation (Lightcast), with whether each is a common or specialized skill.

Tools & technology

Example Category
Adobe Illustrator Graphics or photo imaging software Hot technology In demand
Adobe Photoshop Graphics or photo imaging software Hot technology In demand
Autodesk AutoCAD Computer aided design CAD software Hot technology In demand
Microsoft Excel Spreadsheet software Hot technology In demand
Microsoft Office software Office suite software Hot technology In demand
Adobe Creative Cloud software Graphics or photo imaging software Hot technology
Adobe InDesign Desktop publishing software Hot technology
Microsoft Outlook Electronic mail software Hot technology
Microsoft Word Word processing software Hot technology
Gerber Technology AccuMark Computer aided design CAD software
PatternMaker Computer aided design CAD software

Work context

How characteristic each condition is of the job, on O*NET's 1–5 context scale (higher = more present in day-to-day work). Each condition links to how it varies across all occupations.

Face-to-Face Discussions with Individuals and Within Teams 4.8
Importance of Being Exact or Accurate 4.7
Work With or Contribute to a Work Group or Team 4.5
Contact With Others 4.5
Freedom to Make Decisions 4.3
Coordinate or Lead Others in Accomplishing Work Activities 4.2
Determine Tasks, Priorities and Goals 4.2
Frequency of Decision Making 4.2
Time Pressure 4.1
Telephone Conversations 4.0
Indoors, Environmentally Controlled 4.0
Impact of Decisions on Co-workers or Company Results 3.8
Spend Time Using Your Hands to Handle, Control, or Feel Objects, Tools, or Controls 3.8
E-Mail 3.7
Spend Time Making Repetitive Motions 3.6
Work Outcomes and Results of Other Workers 3.5
Written Letters and Memos 3.4
Consequence of Error 3.3
Importance of Repeating Same Tasks 3.2
Spend Time Standing 3.2
Spend Time Sitting 3.1
Physical Proximity 3.0
Conflict Situations 2.9
Deal With External Customers or the Public in General 2.5
Exposed to Sounds, Noise Levels that are Distracting or Uncomfortable 2.5
Dealing With Unpleasant, Angry, or Discourteous People 2.3
Health and Safety of Other Workers 2.3
Exposed to Contaminants 2.2
Degree of Automation 2.2
Spend Time Bending or Twisting Your Body 2.2
Level of Competition 2.1
Spend Time Walking or Running 2.1
Exposed to Minor Burns, Cuts, Bites, or Stings 1.8
Exposed to Hazardous Equipment 1.8
Spend Time Kneeling, Crouching, Stooping, or Crawling 1.8
Wear Common Protective or Safety Equipment such as Safety Shoes, Glasses, Gloves, Hearing Protection, Hard Hats, or Life Jackets 1.7
Pace Determined by Speed of Equipment 1.7
Indoors, Not Environmentally Controlled 1.6
Public Speaking 1.5
Exposed to Cramped Work Space, Awkward Positions 1.5

How to get in

Job zone
Zone 3 — Job Zone Three: Medium Preparation Needed
Education
Most occupations in this zone require training in vocational schools, related on-the-job experience, or an associate's degree.
Typical entry-level education
High school diploma or equivalent · BLS, the typical path — not a requirement
Related experience
Previous work-related skill, knowledge, or experience is required for these occupations. For example, an electrician must have completed three or four years of apprenticeship or several years of vocational training, and often must have passed a licensing exam, in order to perform the job.
Preparation level
SVP (6.0 to < 7.0) — total schooling plus on-the-job experience.

What to study: Family and Consumer Sciences/Human Sciences . Fields of study crosswalked to this occupation (NCES CIP–SOC), not a requirement.

Education of current workers

Share of people in this occupation at each level of education.

High School Diploma 40.7%
Bachelor's Degree 26.4%
Some College Courses 18.6%
Post-Secondary Certificate 11.5%
Less than a High School Diploma 2.9%

Interests & work styles

The interests and personal qualities O*NET associates with people who do this work.

Career interests (Holland / RIASEC)

Realistic 5.7
Artistic 5.4
Conventional 4.2
Enterprising 1.4

Interest areas

Applied Arts and Design 5.5
Visual Arts 4.4
Mathematics/Statistics 2.5
Physical/Manual Labor 2.2
Engineering 1.9
Office Work 1.5
Marketing/Advertising 1.5
Information Technology 1.4

Work styles

Attention to Detail 2.8
Dependability 2.3
Cautiousness 1.7
Innovation 1.5

Wages & employment

U.S. · annual wages (BLS OEWS)

$35k10th$44k25th$68kMedian$91k75th$113k90th
Annual wages by percentile — U.S. (BLS OEWS). The light band spans the 10th–90th percentile; the darker band is the middle half (25th–75th); the line is the median.
3k20243k2034 (proj.)-10.2% · Declining
Projected U.S. employment, 2024–2034 (BLS Employment Projections). A labor-market forecast for the occupation, not an AI-impact forecast.
10th percentile $34,590
25th percentile $44,110
Median (50th) $67,670
75th percentile $91,080
90th percentile $112,540
People employed 2,860

Industries that employ this occupation

Where these workers are employed, by number of jobs (national, BLS OEWS). Pay shown is the occupation's national median, not industry-specific.

Industry Workers National median pay
Manufacturing · Sector 1,590 $51,610
Management of Companies and Enterprises · Sector 540 $101,310
Wholesale Trade · Sector 420 $86,220
Retail Trade · Sector 130 $72,570
Professional, Scientific, and Technical Services · Sector 80 $65,590
Administrative and Support and Waste Management and Remediation Services · Sector 70 $70,650
Temporary Help Services · National industry 40 $76,630

Where this work is most concentrated

Industries where this occupation is far more common than in the economy as a whole. The location quotient is how many times more concentrated it is here (a value of 5 means five times its economy-wide share).

Industry Concentration Workers
Management of Companies and Enterprises · Sector 10.36× 540
Manufacturing · Sector 6.72× 1,590
Wholesale Trade · Sector 3.75× 420
Retail Trade · Sector 0.45× 130

Part of the Advanced Manufacturing and Arts, Entertainment, & Design career clusters.

Exposure quadrant: AI task-overlap percentile vs Median pay Fabric and Apparel Patternmakers sits at the 45th percentile of AI task-overlap and the 58th percentile of median pay, placed here against 12 adjacent occupations on the same two axes. Lower overlap · higher pay Higher overlap · higher pay Higher overlap · lower pay Lower overlap · lower pay Fabric and Apparel Patternmakers Cutters and Trimmers, Hand Molders, Shapers, and Casters, Except Metal and Plastic Sewing Machine Operators Tailors, Dressmakers, and Custom Sewers Layout Workers, Metal and Plastic Patternmakers, Wood Fashion Designers AI task-overlap percentile → ↑ Median pay
AI task-overlap percentile (horizontal) vs. median-pay percentile (vertical), across all scored occupations. This occupation is highlighted; related occupations are plotted alongside it. Overlap measures shared tasks with AI, not automation.

Side-by-side comparisons place two occupations’ pay, preparation, skills, and AI exposure on the same page — same data, same scale, no forecast.

What you can do with this

Options the data surfaces for Fabric and Apparel Patternmakers — not advice or a forecast. Each is a real cross-link you can follow into the evidence.

Skills that travel

Capabilities this work builds that are used across many other occupations.

Paths in

How people typically prepare for this work.

Zoom out

On the global GenAI exposure gradient this work sits around the 21st percentile of 427 international occupations.

Write a report on thisheadline · factoids · citation

Fabric and Apparel Patternmakers show 45th-percentile AI task overlap — and about 300 annual U.S. openings

  • Fabric and Apparel Patternmakers rank in the 45th percentile (Moderate band) for AI task overlap across U.S. occupations — a measure of how much of the work today's AI can attempt, not how much is automated.Eloundou et al. (GPTs are GPTs) + Felten AIOE
  • The occupation is projected to see about 300 U.S. job openings per year (2024–34), counting growth and replacement — a labor-demand projection made independently of AI.BLS Employment Projections 2024–34
  • BLS projects employment to be declining (-10.2%) from 2024 to 2034.BLS Employment Projections 2024–34
  • Median annual pay is $67,670, across about 2,860 U.S. workers.BLS OEWS (May 2024)
Copy the whole kit
Fabric and Apparel Patternmakers show 45th-percentile AI task overlap — and about 300 annual U.S. openings

• Fabric and Apparel Patternmakers rank in the 45th percentile (Moderate band) for AI task overlap across U.S. occupations — a measure of how much of the work today's AI can attempt, not how much is automated. (Eloundou et al. (GPTs are GPTs) + Felten AIOE)
• The occupation is projected to see about 300 U.S. job openings per year (2024–34), counting growth and replacement — a labor-demand projection made independently of AI. (BLS Employment Projections 2024–34)
• BLS projects employment to be declining (-10.2%) from 2024 to 2034. (BLS Employment Projections 2024–34)
• Median annual pay is $67,670, across about 2,860 U.S. workers. (BLS OEWS (May 2024))

Source: Singulariki — "Fabric and Apparel Patternmakers". https://singulariki.com/roles/role-51-6092-00
Note: AI task overlap measures what today's AI can attempt, not automation, job loss, or a forecast.

AssetsShare imageMethodology & sourcesPress & newsroomThe newsroom

Every line is built only from figures this page already shows and cites. AI task overlap means what today's AI can attempt — not automation, job loss, or a forecast.

Sources for this page

Every figure above traces to a named public dataset and the exact release below — not hand-written opinion. See the full methodology for what each measure does and does not mean.

Data compiled June 2, 2026. Figures are estimates, not advice.

Cite this page
Plain

Singulariki. "Fabric and Apparel Patternmakers." Singulariki: a source-backed encyclopedia of work. Built from O*NET 30.3; BLS Occupational Employment and Wage Statistics (OEWS) May 2024; BLS Employment Projections 2024–2034; Microsoft “Working with AI” working-with-ai; “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130; AI Occupational Exposure (AIOE) Felten, Raj & Seamans; ILO / Gmyrek et al. GenAI exposure gradient 2025; IBS O*NET-SOC ↔ ISCO-08 occupation crosswalk 2022; Frey & Osborne (2013) frey-osborne-automation; Dingel & Neiman (2020) dingel-neiman-workathome. Accessed June 7, 2026. https://singulariki.com/roles/role-51-6092-00

APA

Singulariki. (2026). Fabric and Apparel Patternmakers. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/roles/role-51-6092-00

BibTeX
@misc{singulariki-role-51-6092-00,
  title  = {Fabric and Apparel Patternmakers},
  author = {{Singulariki}},
  year   = {2026},
  note   = {O*NET 30.3; BLS Occupational Employment and Wage Statistics (OEWS) May 2024; BLS Employment Projections 2024–2034; Microsoft “Working with AI” working-with-ai; “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130; AI Occupational Exposure (AIOE) Felten, Raj & Seamans; ILO / Gmyrek et al. GenAI exposure gradient 2025; IBS O*NET-SOC ↔ ISCO-08 occupation crosswalk 2022; Frey & Osborne (2013) frey-osborne-automation; Dingel & Neiman (2020) dingel-neiman-workathome. Accessed June 7, 2026},
  url    = {https://singulariki.com/roles/role-51-6092-00}
}

Citations name the underlying public dataset releases — they reflect what this page is built from, not just the URL.

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