58
/100

SOC 51-6042

Shoe Machine Operators and Tenders

ElevatedFrey/Osborne: 97.0%

Risk Score

โš ๏ธ

58/100

Elevated

US Employment

๐Ÿ‘ฅ

3,270

Total workers

Median Wage

๐Ÿ’ฐ

$38K

$24K โ€“ $48K

Projected Growth

๐Ÿ“ˆ

-3.7%

2023-2033 (BLS)

GenAI Exposure

๐Ÿค–

10/100

Low exposure

How we calculate these numbers โ†’

๐Ÿ’ก Shoe Machine Operators and Tenders face a risk score of 58/100 โ€” 14 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 $38K. 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 58/100, Shoe Machine Operators and Tenders 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 3,270 workers in this occupation should focus on strengthening skills in setup and calibration of custom production runs and quality judgment requiring tactile and visual inspection to stay ahead. The role will likely evolve rather than disappear.

Will AI Replace Shoe Machine Operators and Tenders?

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

Industrial robotics replacing manual assembly tasks

3

AI quality inspection via computer vision systems

4

Automated CNC programming and machine operation

๐Ÿ›ก๏ธ Tasks Safe from Automation

โœ“

Setup and calibration of custom production runs

โœ“

Quality judgment requiring tactile and visual inspection

โœ“

Coordinating workflow across diverse production teams

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

Inspect finished products to ensure that shoes have been completed according to specifications.

โ€ข

Align parts to be stitched, following seams, edges, or markings, before positioning them under needles.

โ€ข

Operate or tend machines to join, decorate, reinforce, or finish shoes and shoe parts.

โ€ข

Remove and examine shoes, shoe parts, and designs to verify conformance to specifications such as proper embedding of stitches in channels.

โ€ข

Switch on machines, lower pressure feet or rollers to secure parts, and start machine stitching, using hand, foot, or knee controls.

๐Ÿ’ป Technology Skills

โ€ข

Document management software

โ€ข

Inventory management software

โ€ข

Spreadsheet software

โ€ข

Office suite software

โ€ข

Operating system software

๐ŸŽ“ Key Knowledge Areas

โ€ข

Production and Processing

โ€ข

Administration and Management

โ€ข

Education and Training

โ€ข

Customer and Personal Service

โ€ข

Personnel and Human Resources

๐Ÿ“Š vs National Average

Median Wage$38K
$-8K

National avg: $46K

Risk Score58/100
+14

National avg: 44/100

GenAI Exposure10/100
-28

National avg: 38/100

Projected Growth-3.7%
-7.4%

National avg: 3.7%

๐Ÿ”„ Career Transition Paths

OccupationRiskWageOverlap
Engineers20$106K61%
First-Line Supervisors of Transportation and Material Moving Workers, Except Aircraft Cargo Handling Supervisors25$62K51%
Fabric and Apparel Patternmakers33$68K80%