66
/100

SOC 51-6051

Sewers, Hand

High RiskFrey/Osborne: 99.0%

Risk Score

โš ๏ธ

66/100

High Risk

US Employment

๐Ÿ‘ฅ

2,240

Total workers

Median Wage

๐Ÿ’ฐ

$34K

$26K โ€“ $46K

Projected Growth

๐Ÿ“ˆ

-7%

2023-2033 (BLS)

GenAI Exposure

๐Ÿค–

10/100

Low exposure

How we calculate these numbers โ†’

๐Ÿ’ก Sewers, Hand face a risk score of 66/100 โ€” 22 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 66/100, Sewers, Hand faces moderate automation pressure. While tasks like ai quality inspection via computer vision systems are increasingly handled by AI, the role retains significant human elements. The 2,240 workers in this occupation should focus on strengthening skills in quality judgment requiring tactile and visual inspection and troubleshooting complex equipment malfunctions to stay ahead. The role will likely evolve rather than disappear.

Will AI Replace Sewers, Hand?

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

โš ๏ธ Top Risk Factors

1

AI quality inspection via computer vision systems

2

Industrial robotics replacing manual assembly tasks

3

Smart factory scheduling and production optimization

4

Automated CNC programming and machine operation

๐Ÿ›ก๏ธ Tasks Safe from Automation

โœ“

Quality judgment requiring tactile and visual inspection

โœ“

Troubleshooting complex equipment malfunctions

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

Select thread, twine, cord, or yarn to be used, and thread needles.

โ€ข

Measure and align parts, fasteners, or trimmings, following seams, edges, or markings on parts.

โ€ข

Trim excess threads or edges of parts, using scissors or knives.

โ€ข

Sew, join, reinforce, or finish parts of articles, such as garments, books, mattresses, toys, and wigs, using needles and thread or other materials.

โ€ข

Use different sewing techniques such as felling, tacking, basting, embroidery, and fagoting.

๐Ÿ’ป Technology Skills

โ€ข

Graphics or photo imaging software

โ€ข

Computer aided design CAD software

โ€ข

Optical character reader OCR or scanning software

โ€ข

Spreadsheet software

โ€ข

Office suite software

๐ŸŽ“ Key Knowledge Areas

โ€ข

Customer and Personal Service

โ€ข

Administration and Management

โ€ข

English Language

โ€ข

Mechanical

โ€ข

Education and Training

๐Ÿ“Š vs National Average

Median Wage$34K
$-13K

National avg: $46K

Risk Score66/100
+22

National avg: 44/100

GenAI Exposure10/100
-28

National avg: 38/100

Projected Growth-7.0%
-10.7%

National avg: 3.7%

๐Ÿ”„ Career Transition Paths

OccupationRiskWageOverlap
First-Line Supervisors of Transportation and Material Moving Workers, Except Aircraft Cargo Handling Supervisors25$62K67%
Fabric and Apparel Patternmakers33$68K81%
Supervisors of Production Workers34$71K79%