45
/100

SOC 51-6041

Shoe and Leather Workers and Repairers

ElevatedFrey/Osborne: 52.0%

Risk Score

โš ๏ธ

45/100

Elevated

US Employment

๐Ÿ‘ฅ

7,640

Total workers

Median Wage

๐Ÿ’ฐ

$36K

$25K โ€“ $48K

Projected Growth

๐Ÿ“ˆ

-3.8%

2023-2033 (BLS)

GenAI Exposure

๐Ÿค–

10/100

Low exposure

How we calculate these numbers โ†’

๐Ÿ’ก Shoe and Leather Workers and Repairers face a risk score of 45/100 โ€” 1 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 $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 45/100, Shoe and Leather Workers and Repairers faces moderate automation pressure. While tasks like automated cnc programming and machine operation are increasingly handled by AI, the role retains significant human elements. The 7,640 workers in this occupation should focus on strengthening skills in coordinating workflow across diverse production teams and setup and calibration of custom production runs to stay ahead. The role will likely evolve rather than disappear.

Will AI Replace Shoe and Leather Workers and Repairers?

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

โš ๏ธ Top Risk Factors

1

Automated CNC programming and machine operation

2

Predictive maintenance reducing manual inspection roles

3

Smart factory scheduling and production optimization

4

AI quality inspection via computer vision systems

๐Ÿ›ก๏ธ Tasks Safe from Automation

โœ“

Coordinating workflow across diverse production teams

โœ“

Setup and calibration of custom production runs

โœ“

Handling non-standard materials and configurations

โœ“

Troubleshooting complex equipment malfunctions

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

Dye, soak, polish, paint, stamp, stitch, stain, buff, or engrave leather or other materials to obtain desired effects, decorations, or shapes.

โ€ข

Cut out parts, following patterns or outlines, using knives, shears, scissors, or machine presses.

โ€ข

Construct, decorate, or repair leather products according to specifications, using sewing machines, needles and thread, leather lacing, glue, clamps, hand tools, or rivets.

โ€ข

Repair and recondition leather products such as trunks, luggage, shoes, saddles, belts, purses, and baseball gloves.

โ€ข

Align and stitch or glue materials such as fabric, fleece, leather, or wood, to join parts.

๐Ÿ’ป Technology Skills

โ€ข

Accounting software

โ€ข

Inventory management software

โ€ข

Spreadsheet software

โ€ข

Point of sale POS software

๐ŸŽ“ Key Knowledge Areas

โ€ข

Production and Processing

โ€ข

Customer and Personal Service

โ€ข

Mechanical

โ€ข

Sales and Marketing

โ€ข

Administration and Management

๐Ÿ“Š vs National Average

Median Wage$36K
$-10K

National avg: $46K

Risk Score45/100
+1

National avg: 44/100

GenAI Exposure10/100
-28

National avg: 38/100

Projected Growth-3.8%
-7.5%

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$68K84%