Will AI replace Shoe and Leather Workers and Repairers?
Estimated risk score: 9 out of 100
Very low replacement risk
Estimate from published task research, not reviewed by a person · how we estimate
Within about 19 points for 4 in 5 of the jobs we checked (0 to 28).
For the occupation as a whole, from ratings of its 27 O*NET tasks published in 2023 and calibrated to our hand scores. A specialty inside it can sit higher or lower.
O*NET-SOC 51-6041.00 · Production
Tasks rated in 2023 as ones AI could do or speed up
Tasks a GPT-4-class model could do, or do in half the time or less: 0 of its 27 rated tasks. In O*NET’s words.
None of its rated tasks.
Tasks rated in 2023 as not sped up by AI
Tasks such a model was rated as not speeding up or taking over: 23 of its 27 rated tasks; the first 6 are shown. In O*NET’s words.
- Align and stitch or glue materials such as fabric, fleece, leather, or wood, to join parts.
- Construct, decorate, or repair leather products according to specifications, using sewing machines, needles and thread, leather lacing, glue, clamps, hand tools, or rivets.
- Cut out parts, following patterns or outlines, using knives, shears, scissors, or machine presses.
- Drill or punch holes and insert or attach metal rings, handles, and fastening hardware, such as buckles.
- Dye, soak, polish, paint, stamp, stitch, stain, buff, or engrave leather or other materials to obtain desired effects, decorations, or shapes.
- Inspect articles for defects, and remove damaged or worn parts, using hand tools.
What the job is
Construct, decorate, or repair leather and leather-like products, such as luggage, shoes, and saddles. May use hand tools.
Also called: Shoe Repairer, Pad Hand, Repairer, Bootmaker, Shoe Dyer, Shoe Cutter, Skate Maker, Leathersmith.
Source. This site includes information from the O*NET 30.1 Database by the U.S. Department of Labor, Employment and Training Administration (USDOL/ETA). Used under the CC BY 4.0 license. O*NET® is a trademark of USDOL/ETA. USDOL/ETA has not approved, endorsed, or tested these modifications. (O*NET, CC BY 4.0.) Task ratings: Eloundou, Manning, Mishkin and Rock (2023), “GPTs are GPTs: An Early Look at the Labor Market Impact Potential of Large Language Models”, data used under the MIT licence (licence texts). Our change: we averaged the ratings over this occupation’s tasks and calibrated them to our 0–100 scale. It is not a prediction about any one person and not career advice. Disagree? Write to hello@yourstopwashit.com. How we estimate