55
/100

SOC 51-6052

Tailors, Dressmakers, and Custom Sewers

ElevatedFrey/Osborne: 84.0%

Risk Score

โš ๏ธ

55/100

Elevated

US Employment

๐Ÿ‘ฅ

16,290

Total workers

Median Wage

๐Ÿ’ฐ

$41K

$27K โ€“ $62K

Projected Growth

๐Ÿ“ˆ

-4.5%

2023-2033 (BLS)

GenAI Exposure

๐Ÿค–

31/100

Moderate exposure

How we calculate these numbers โ†’

๐Ÿ’ก Tailors, Dressmakers, and Custom Sewers face a risk score of 55/100 โ€” 11 points above the national average of 44. With only 31/100 GenAI exposure, most core tasks remain resistant to current AI capabilities. See our methodology โ†’

๐Ÿ’ก Workers in this field earn $41K. 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 55/100, Tailors, Dressmakers, and Custom Sewers faces moderate automation pressure. While tasks like cobots handling repetitive material handling tasks are increasingly handled by AI, the role retains significant human elements. The 16,290 workers in this occupation should focus on strengthening skills in coordinating workflow across diverse production teams and quality judgment requiring tactile and visual inspection to stay ahead. The role will likely evolve rather than disappear.

Will AI Replace Tailors, Dressmakers, and Custom Sewers?

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

โš ๏ธ Top Risk Factors

1

Cobots handling repetitive material handling tasks

2

Predictive maintenance reducing manual inspection roles

3

Industrial robotics replacing manual assembly tasks

4

AI quality inspection via computer vision systems

๐Ÿ›ก๏ธ Tasks Safe from Automation

โœ“

Coordinating workflow across diverse production teams

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

Measure parts, such as sleeves or pant legs, and mark or pin-fold alteration lines.

โ€ข

Remove stitches from garments to be altered, using rippers or razor blades.

โ€ข

Sew garments, using needles and thread or sewing machines.

โ€ข

Let out or take in seams in suits and other garments to improve fit.

โ€ข

Measure customers, using tape measures, and record measurements.

๐Ÿ’ป Technology Skills

โ€ข

Point of sale POS software

โ€ข

Accounting software

โ€ข

Computer aided design CAD software

โ€ข

Word processing software

โ€ข

Inventory management software

๐ŸŽ“ Key Knowledge Areas

โ€ข

Customer and Personal Service

โ€ข

English Language

โ€ข

Production and Processing

โ€ข

Administration and Management

โ€ข

Economics and Accounting

๐Ÿ“Š vs National Average

Median Wage$41K
$-5K

National avg: $46K

Risk Score55/100
+11

National avg: 44/100

GenAI Exposure31/100
-7

National avg: 38/100

Projected Growth-4.5%
-8.2%

National avg: 3.7%

๐Ÿ”„ Career Transition Paths

OccupationRiskWageOverlap
Engineers20$106K55%
First-Line Supervisors of Transportation and Material Moving Workers, Except Aircraft Cargo Handling Supervisors25$62K65%
Fabric and Apparel Patternmakers33$68K74%