33
/100

SOC 51-6092

Fabric and Apparel Patternmakers

ModerateFrey/Osborne: 0.5%

Risk Score

โš ๏ธ

33/100

Moderate

US Employment

๐Ÿ‘ฅ

2,860

Total workers

Median Wage

๐Ÿ’ฐ

$68K

$35K โ€“ $113K

Projected Growth

๐Ÿ“ˆ

-10.2%

2023-2033 (BLS)

GenAI Exposure

๐Ÿค–

67/100

High exposure

How we calculate these numbers โ†’

๐Ÿ’ก Fabric and Apparel Patternmakers face a risk score of 33/100 โ€” 11 points below the national average of 44. With 67/100 GenAI exposure, this occupation faces significant pressure from AI tools despite weak projected growth. See our methodology โ†’

๐Ÿ’ก Workers in this field earn $68K ($21K above the national median). The 3 recommended career transitions all maintain competitive wages while reducing automation exposure. Explore transition paths โ†’

๐Ÿ” AI Impact Analysis

With a risk score of 33/100, Fabric and Apparel Patternmakers faces moderate automation pressure. While tasks like industrial robotics replacing manual assembly tasks are increasingly handled by AI, the role retains significant human elements. The 2,860 workers in this occupation should focus on strengthening skills in troubleshooting complex equipment malfunctions and quality judgment requiring tactile and visual inspection to stay ahead. The role will likely evolve rather than disappear.

Will AI Replace Fabric and Apparel Patternmakers?

Read our full analysis with verdict, risk factors, safe tasks, and career transition paths โ†’

โš ๏ธ Top Risk Factors

1

Industrial robotics replacing manual assembly tasks

2

AI quality inspection via computer vision systems

3

AI coding assistants reducing developer demand

๐Ÿ›ก๏ธ Tasks Safe from Automation

โœ“

Troubleshooting complex equipment malfunctions

โœ“

Quality judgment requiring tactile and visual inspection

โœ“

Handling non-standard materials and configurations

โœ“

Setup and calibration of custom production runs

๐Ÿ“Š Task Automation Breakdown

Based on O*NET task analysis and GenAI exposure scoring. Shows the estimated proportion of this occupation's core tasks that are automatable by current AI, augmented by AI tools, or require essential human skills.

๐Ÿ“‹ O*NET Task Profile

โ€ข

Create a master pattern for each size within a range of garment sizes, using charts, drafting instruments, computers, or grading devices.

โ€ข

Input specifications into computers to assist with pattern design and pattern cutting.

โ€ข

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.

โ€ข

Make adjustments to patterns after fittings.

โ€ข

Compute dimensions of patterns according to sizes, considering stretching of material.

๐Ÿ’ป Technology Skills

โ€ข

Graphics or photo imaging software

โ€ข

Computer aided design CAD software

โ€ข

Spreadsheet software

โ€ข

Office suite software

โ€ข

Electronic mail software

๐ŸŽ“ Key Knowledge Areas

โ€ข

Design

โ€ข

Mathematics

โ€ข

English Language

โ€ข

Production and Processing

โ€ข

Education and Training

๐Ÿ“Š vs National Average

Median Wage$68K
+$21K

National avg: $46K

Risk Score33/100
-11

National avg: 44/100

GenAI Exposure67/100
+29

National avg: 38/100

Projected Growth-10.2%
-13.9%

National avg: 3.7%

๐Ÿ”„ Career Transition Paths

OccupationRiskWageOverlap
Engineers20$106K51%
Electrical Power-Line Installers and Repairers28$93K55%
Architects, Except Landscape and Naval29$97K53%