Installation, Maintenance, and Repair Workers, All Other

Right now, most sewing and repair tasks are still done by people. There are research robots that can stitch fabric under camera guidance – for example, one project used “soft” robot fingers and a vision system to sew and then inspect the stitches automatically ^[1]. In industry, cameras are already used to scan big rolls of material and flag holes or tears in real time ^[2].

These systems can cut waste and help quality control. But jobs like patching holes, stamping grommets, or hand-hem hemming are mostly manual today. Experts note that defect checking is “mostly performed by human agents” with costly labor and mistakes ^[1].

In other words, some tasks (like looking for fabric flaws) have smart tools, but the detailed hand-stitching and adjusting still rely on skilled workers for now.

There are good reasons adoption is slow. For one thing, the pay for these workers is not very high – about $23/hour on average ^[3] – so it’s cheaper to hire a person than buy expensive new robots or AI machines. Small shops and repair teams often can’t afford high-tech equipment, and fabrics can be tricky for machines to handle.

Also, these repair jobs need judgment and flexibility, and many customers prefer a human’s care. On the other hand, if labor gets scarce or technology drops in price, more automation could happen. For example, using AI vision to double-check stitching or defects could quickly save money ^[2].

Overall, people remain the heart of clothing repair, but steady tech improvements may make their work easier in the future ^{[1] [1]}.