Last Update: 2/17/2026
Your role’s AI Resilience Score is
Median Score
Changing Fast
Evolving
Stable
This reflects the reliability of your score based on the number of data sources available for this career and how closely those sources agree on the outlook. A higher confidence means more consistent evidence from labor experts and AI models.
What does this resilience result mean?
These roles are shifting as AI becomes part of everyday workflows. Expect new responsibilities and new opportunities.
AI Resilience Report for
They fix and make shoes and leather goods by repairing worn parts and creating new items to keep them looking and working well.
This role is evolving
This career is labeled as "Evolving" because while some parts of shoe and leather work, especially in large factories, are becoming more automated, many tasks still need human skills. Machines are used for heavy, repetitive tasks to improve speed and safety, but creative and detailed work, like selecting materials and customizing fits, relies on human expertise.
Read full analysisLearn more about how you can thrive in this position
Learn more about how you can thrive in this position
This role is evolving
This career is labeled as "Evolving" because while some parts of shoe and leather work, especially in large factories, are becoming more automated, many tasks still need human skills. Machines are used for heavy, repetitive tasks to improve speed and safety, but creative and detailed work, like selecting materials and customizing fits, relies on human expertise.
Read full analysisContributing Sources
We aggregate scores from multiple models and supplement with employment projections for a more accurate picture of this occupation’s resilience. Expand to view all sources.
AI Resilience
AI Resilience Model v1.0
AI Task Resilience
Microsoft's Working with AI
AI Applicability
Will Robots Take My Job
Automation Resilience
Low Demand
We use BLS employment projections to complement the AI-focused assessments from other sources.
Learn about this scoreGrowth Rate (2024-34):
Growth Percentile:
Annual Openings:
Annual Openings Pct:
Analysis of Current AI Resilience
Shoe & Leather Repairers
Updated Quarterly • Last Update: 2/17/2026

What's changing and what's not
The typical tasks of a cobbler (cutting leather parts, joining and stitching pieces by hand, etc.) are still mostly done by people. For example, federal job data lists tasks like “cut out parts…using knives, shears…or machine presses” and “align and stitch or glue materials to join parts” [1] [1]. In practice, large shoe factories may use machines or robots to handle heavy tasks – for example, hydraulic cutting presses now semi‐automate the once‐dangerous process of cutting shoe uppers [2] [3].
One recent study even built a robot line to assemble shoe uppers and attach soles [3]. However, many finer tasks remain manual. Experts note that sewing the leather uppers is still “mostly manual” and that only experimental “sew-bot” machines are being tested [2].
Creative steps like selecting materials, tracing patterns, trimming edges and decorative finishing typically rely on human skill [1] [2]. In short, only parts of production (mostly in big factories) are automated today; the custom, creative side of shoe and leather work still needs people.

AI in the real world
There are practical reasons AI and robots are adopted slowly in this trade. Shoe repair and leatherwork is often done in small shops with limited budgets, making expensive new machines hard to justify. Also, each job is unique – replacing a custom shoe sole or learning a customer’s foot shape often needs a human eye.
On the business side, some shoe manufacturers invest in automation when labor is scarce or dangerous. For example, researchers note that shoe factory work can be loud and hazardous, which drives factories to use robots for repetitive steps [3] [2]. Automation can boost speed and consistency (and cut down on injuries from glues or cutting) [2].
But the high cost of a fully automated line and the value customers place on hand-crafted quality work against rushing to AI. In short, machines help with big, dangerous jobs, but the creative craftsmanship in shoe repair keeps cobblers in the loop. The human skills of fitting, artistry and problem-solving remain important even as new tools arrive.

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Median Wage
$35,950
Jobs (2024)
9,500
Growth (2024-34)
-3.8%
Annual Openings
900
Education
High school diploma or equivalent
Experience
None
Source: Bureau of Labor Statistics, Employment Projections 2024-2034
AI-generated estimates of task resilience over the next 3 years
Stretch shoes, dampening parts and inserting and twisting parts, using an adjustable stretcher.
Estimate the costs of requested products or services such as custom footwear or footwear repair, and receive payment from customers.
Inspect articles for defects, and remove damaged or worn parts, using hand tools.
Repair and recondition leather products such as trunks, luggage, shoes, saddles, belts, purses, and baseball gloves.
Measure customers for fit, and discuss with them the type of footwear to be made, recommending details such as leather quality.
Dress and otherwise finish boots or shoes, as by trimming the edges of new soles and heels to the shoe shape.
Read prescriptions or specifications, and take measurements to establish the type of product to be made, using calipers, tape measures, or rules.
Tasks are ranked by their AI resilience, with the most resilient tasks shown first. Core tasks are essential functions of this occupation, while supplemental tasks provide additional context.

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