64
/100

SOC 51-6021

Pressers, Textile, Garment, and Related Materials

High RiskFrey/Osborne: 81.0%

Risk Score

โš ๏ธ

64/100

High Risk

US Employment

๐Ÿ‘ฅ

26,830

Total workers

Median Wage

๐Ÿ’ฐ

$34K

$25K โ€“ $41K

Projected Growth

๐Ÿ“ˆ

-13.5%

2023-2033 (BLS)

GenAI Exposure

๐Ÿค–

10/100

Low exposure

How we calculate these numbers โ†’

๐Ÿ’ก Pressers, Textile, Garment, and Related Materials face a risk score of 64/100 โ€” 20 points above the national average of 44. With only 10/100 GenAI exposure, most core tasks remain resistant to current AI capabilities. See our methodology โ†’

๐Ÿ’ก Workers in this field earn $34K. 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 64/100, Pressers, Textile, Garment, and Related Materials faces moderate automation pressure. While tasks like predictive maintenance reducing manual inspection roles are increasingly handled by AI, the role retains significant human elements. The 26,830 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 Pressers, Textile, Garment, and Related Materials?

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

โš ๏ธ Top Risk Factors

1

Predictive maintenance reducing manual inspection roles

2

AI quality inspection via computer vision systems

3

Automated CNC programming and machine operation

4

Cobots handling repetitive material handling tasks

๐Ÿ›ก๏ธ Tasks Safe from Automation

โœ“

Troubleshooting complex equipment malfunctions

โœ“

Quality judgment requiring tactile and visual inspection

โœ“

Coordinating workflow across diverse production teams

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

Hang, fold, package, and tag finished articles for delivery to customers.

โ€ข

Operate steam, hydraulic, or other pressing machines to remove wrinkles from garments and flatwork items, or to shape, form, or patch articles.

โ€ข

Straighten, smooth, or shape materials to prepare them for pressing.

โ€ข

Remove finished pieces from pressing machines and hang or stack them for cooling, or forward them for additional processing.

โ€ข

Finish pleated garments, determining sizes of pleats from evidence of old pleats or from work orders, using machine presses or hand irons.

๐Ÿ’ป Technology Skills

โ€ข

Electronic mail software

โ€ข

Spreadsheet software

โ€ข

Word processing software

๐ŸŽ“ Key Knowledge Areas

โ€ข

Customer and Personal Service

โ€ข

Production and Processing

โ€ข

English Language

โ€ข

Public Safety and Security

โ€ข

Education and Training

๐Ÿ“Š vs National Average

Median Wage$34K
$-12K

National avg: $46K

Risk Score64/100
+20

National avg: 44/100

GenAI Exposure10/100
-28

National avg: 38/100

Projected Growth-13.5%
-17.2%

National avg: 3.7%

๐Ÿ”„ Career Transition Paths

OccupationRiskWageOverlap
First-Line Supervisors of Transportation and Material Moving Workers, Except Aircraft Cargo Handling Supervisors25$62K63%
Fabric and Apparel Patternmakers33$68K77%
Supervisors of Production Workers34$71K75%