Will AI replace shoe and leather workers and repairers?
Unlikely. Most of the work is hard for today's AI to speed up. Shoe and Leather Workers and Repairers score 6 out of 100 (low exposure), #814 of 923 US jobs. AI could speed up 4 of the job's 27 tasks, 0 of them on its own, while 23 see little or no speed-up. Exposure means the work is likely to change, not that the job will disappear.
Which shoe and leather workers and repairers tasks can AI do?
The most exposed tasks include "Check the texture, color, and strength of leather to ensure that it is adequate for a particular purpose"; "Estimate the costs of requested products or services such as custom footwear or footwear repair, and receive payment from customers"; "Draw patterns, using measurements, designs, plaster casts, or customer specifications, and position or outline patterns on work pieces".
Which shoe and leather workers and repairers tasks are hardest for AI?
Tasks with little or no AI speed-up include "Dye, soak, polish, paint, stamp, stitch, stain, buff, or engrave leather or other materials to obtain desired effects, decorations, or shapes"; "Cut out parts, following patterns or outlines, using knives, shears, scissors, or machine presses"; "Construct, decorate, or repair leather products according to specifications, using sewing machines, needles and thread, leather lacing, glue, clamps, hand tools, or rivets".
Are people already using AI for this work?
Yes. In April–May 2026, 1 of the 27 tasks showed up in real conversations with Claude, according to the Anthropic Economic Index.
How many people work as shoe and leather workers and repairers, and what do they earn?
About 7,450 people in the US, with median pay of $37,800 a year (BLS, May 2025).