Will AI replace shoe machine operators and tenders?
Unlikely. Most of the work is hard for today's AI to speed up. Shoe Machine Operators and Tenders score 9 out of 100 (low exposure), #769 of 923 US jobs. AI could speed up 1 of the job's 19 tasks, 1 of them on its own, while 18 see little or no speed-up. Exposure means the work is likely to change, not that the job will disappear.
Which shoe machine operators and tenders tasks can AI do?
The most exposed tasks include "Study work orders or shoe part tags to obtain information about workloads, specifications, and the types of materials to be used".
Which shoe machine operators and tenders tasks are hardest for AI?
Tasks with little or no AI speed-up include "Remove and examine shoes, shoe parts, and designs to verify conformance to specifications such as proper embedding of stitches in channels"; "Perform routine equipment maintenance such as cleaning and lubricating machines or replacing broken needles"; "Cut excess thread or material from shoe parts, using scissors or knives".
Are people already using AI for this work?
Not much yet. None of the job's tasks showed up in real conversations with Claude in April–May 2026, according to the Anthropic Economic Index.
How many people work as shoe machine operators and tenders, and what do they earn?
About 3,280 people in the US, with median pay of $35,650 a year (BLS, May 2025).