Will Shoe and Leather Workers and Repairers be replaced by AI & Robots?

Key findings

Generative artificial intelligence (GenAI) is not expected to significantly alter the landscape for shoe and leather workers and repairers.

The unique nature of GenAI automation means that blue-collar workers like them are unlikely to face major disruptions.

In fact, the growing demand for premium goods and services could potentially lead to an increase in their income share.

While certain skills like information ordering and digital data processing may be automated in the future, tasks requiring active listening, critical thinking, and monitoring are likely to remain in the hands of human workers.

So, while GenAI will impact the industry, it is not set to transform the work of shoe and leather workers and repairers anytime soon.

How could AI or automation replace or complement job activities?

The use of AI, automation, or LLMs could potentially assist in tasks related to shoe and leather work, such as pattern tracing, measurements, and cost estimation.

However, the intricate craftsmanship and detailed repairs involved in this job may require human touch and expertise that technology currently could not fully replace.

For example, AI could help in estimating material costs, but the delicate stitching and intricate designs may still be best handled by skilled human workers.

Job description

Construct, decorate, or fix leather and leather-like items like bags, shoes, and saddles. They may use hand tools.