Key findings
Shoe Machine Operators and Tenders meticulously operate various machines to assemble, embellish, reinforce, and finish shoes and shoe components.
This work requires reading comprehension, active listening, critical thinking, operations monitoring, operation and control, and quality control analysis.
While some skills used in this job may be automated in the future, GenAI is unlikely to significantly impact blue-collar workers like shoe operators.
The unique automation wave of GenAI may not transform this work, as physical tasks are beyond its current capabilities.
The demand for premium goods and services could even boost the need for blue-collar workers, potentially increasing their income share.
How could AI or automation replace or complement job activities?
Certain activities of the job of operating shoe machinery could be automated using AI and LLMs.
Tasks such as studying work orders, aligning parts for stitching, regulating machine settings, filling thread spools, and adjusting stitch length could be automated.
For example, AI could analyze work orders and automatically set machine parameters for optimal performance, increasing efficiency and accuracy in shoe production.
Job description
Operates and handles different machines to put together, decorate, strengthen, or complete shoes and shoe parts.
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