67
/100

SOC 51-6031

Sewing Machine Operators

High RiskFrey/Osborne: 89.0%

Risk Score

โš ๏ธ

67/100

High Risk

US Employment

๐Ÿ‘ฅ

109,590

Total workers

Median Wage

๐Ÿ’ฐ

$36K

$27K โ€“ $47K

Projected Growth

๐Ÿ“ˆ

-10.8%

2023-2033 (BLS)

GenAI Exposure

๐Ÿค–

24/100

Low exposure

How we calculate these numbers โ†’

๐Ÿ’ก Sewing Machine Operators face a risk score of 67/100 โ€” 23 points above the national average of 44. With only 24/100 GenAI exposure, most core tasks remain resistant to current AI capabilities. See our methodology โ†’

๐Ÿ’ก Workers in this field earn $36K. 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 67/100, Sewing Machine Operators 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 109,590 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 Sewing Machine Operators?

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

Cobots handling repetitive material handling tasks

4

Predictive maintenance reducing manual inspection roles

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

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

Monitor machine operation to detect problems such as defective stitching, breaks in thread, or machine malfunctions.

โ€ข

Place spools of thread, cord, or other materials on spindles, insert bobbins, and thread ends through machine guides and components.

โ€ข

Position items under needles, using marks on machines, clamps, templates, or cloth as guides.

โ€ข

Guide garments or garment parts under machine needles and presser feet to sew parts together.

โ€ข

Remove holding devices and finished items from machines.

๐Ÿ’ป Technology Skills

โ€ข

Electronic mail software

โ€ข

Spreadsheet software

โ€ข

Office suite software

โ€ข

Word processing software

โ€ข

Internet browser software

๐ŸŽ“ Key Knowledge Areas

โ€ข

English Language

โ€ข

Production and Processing

โ€ข

Mathematics

โ€ข

Education and Training

โ€ข

Customer and Personal Service

๐Ÿ“Š vs National Average

Median Wage$36K
$-10K

National avg: $46K

Risk Score67/100
+23

National avg: 44/100

GenAI Exposure24/100
-14

National avg: 38/100

Projected Growth-10.8%
-14.5%

National avg: 3.7%

๐Ÿ”„ Career Transition Paths

OccupationRiskWageOverlap
Engineers20$106K59%
First-Line Supervisors of Transportation and Material Moving Workers, Except Aircraft Cargo Handling Supervisors25$62K69%
Fabric and Apparel Patternmakers33$68K83%