AI Automation Index

Will AI Replace Shoe Machine Operators and Tenders?

Analyze the automation vulnerability, task-level AI risk, salary, and demand projection for Shoe Machine Operators and Tenders. Run the upskilling simulator.

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• Developed & audited by Gini Loh

AI Vulnerability

42% risk score

Median Salary

$35,650 / year

Growth Demand

Low

Constituent Task Mix

We parsed O*NET's 19 constituent tasks for this occupation and classified them by AI threat risk.

High Automation Risk (Routine Tasks) 0%
Medium Automation Risk (Cognitive/Technical) 84%
Low Automation Risk (Strategy/Leadership) 16%

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constituent Tasks

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

Semi-structured cognitive task involving analysis, inspection, or monitoring.

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

Semi-structured task combining routine and non-routine responsibilities.

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

Semi-structured task combining routine and non-routine responsibilities.

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

Complex problem-solving, strategic leadership, or high-empathy task requiring human judgment.

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

Semi-structured task combining routine and non-routine responsibilities.

Draw thread through machine guide slots, needles, and presser feet in preparation for stitching, or load rolls of wire through machine axles.

Complex problem-solving, strategic leadership, or high-empathy task requiring human judgment.

Study work orders or shoe part tags to obtain information about workloads, specifications, and the types of materials to be used.

Semi-structured task combining routine and non-routine responsibilities.

Perform routine equipment maintenance such as cleaning and lubricating machines or replacing broken needles.

Complex problem-solving, strategic leadership, or high-empathy task requiring human judgment.

Test machinery to ensure proper functioning before beginning production.

Semi-structured task combining routine and non-routine responsibilities.

Select and place spools of thread or pre-wound bobbins into shuttles, or onto spindles or loupers of stitching machines.

Semi-structured task combining routine and non-routine responsibilities.

Cut excess thread or material from shoe parts, using scissors or knives.

Semi-structured task combining routine and non-routine responsibilities.

Turn knobs to adjust stitch length and thread tension.

Semi-structured task combining routine and non-routine responsibilities.

Fill shuttle spools with thread from a machine's bobbin winder by pressing a foot treadle.

Semi-structured task combining routine and non-routine responsibilities.

Staple sides of shoes, pressing a foot treadle to position and hold each shoe under the feeder of the machine.

Semi-structured task combining routine and non-routine responsibilities.

Position dies on material in a manner that will obtain the maximum number of parts from each portion of material.

Semi-structured task combining routine and non-routine responsibilities.

Collect shoe parts from conveyer belts or racks and place them in machinery such as ovens or on molds for dressing, returning them to conveyers or racks to send them to the next work station.

Semi-structured task combining routine and non-routine responsibilities.

Turn setscrews on needle bars, and position required numbers of needles in stitching machines.

Semi-structured task combining routine and non-routine responsibilities.

Turn screws to regulate size of staples.

Semi-structured task combining routine and non-routine responsibilities.

Hammer loose staples for proper attachment.

Semi-structured task combining routine and non-routine responsibilities.

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O*NET Methodology

O*NET Data Source

This page dynamically extracts data structures sponsored by the U.S. Department of Labor. Our AI classification applies cognitive task automation risk models to individual tasks.

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