Repair tears, holes, and other defects in fabrics, such as draperies, linens, parachutes, and tents.
13 of 14 tasks have some AI capability
Exposure Trend
This score reflects estimated AI technical capability for tasks in this occupation. It does not predict employment changes, and it does not account for company-specific constraints, regulation, or adoption barriers.
Stamp grommets into canvas, using mallets and punches or eyelet machines.
AI: Fully automatable - Stamping grommets is a simple, repetitive operation already fully handled by dedicated eyelet/grommet machines and automated presses.
Sew labels and emblems onto articles for identification.
AI: Fully automatable - Industrial embroidery and automated sewing systems can reliably attach labels and emblems at production scale with minimal human intervention.
Sew fringe, tassels, and ruffles onto drapes and curtains, and buttons and trimming onto garments.
AI: Fully automatable - Current automated sewing and finishing equipment can attach fringe, tassels, ruffles, buttons, and trimmings reliably in many production contexts.
Check repaired and repacked survival equipment to ensure that it meets specifications.
AI: Partial - Automated vision and sensor systems can perform most visual and functional checks, but safety-critical judgment and context-specific verification of survival equipment still require human oversight.
Measure and hem curtains, garments, and canvas coverings to size, using tape measures.
AI: Partial - Automated measuring and hemming equipment exists in production environments, but on‑demand, varied-size hemming for nonstandard items remains only partially automatable.
Operate sewing machines to restitch defective seams, sew up holes, or replace components of fabric articles.
AI: Partial - Machine sewing can be automated for repetitive repair tasks in controlled settings, but varied defect repair and setup still commonly require human operators.
Spread out articles or materials and examine them for holes, tears, worn areas, and other defects.
AI: Partial - Computer vision systems can detect holes and defects, but physically spreading diverse articles and reliably inspecting all real‑world variants remains only partially automated.
Trim edges of cut or torn fabric, using scissors or knives, and stitch trimmed edges together.
AI: Partial - Automated cutting and sewing systems can trim and stitch in production, but variable tear patterns and small‑scale repairs still require human skill in many cases.
Patch holes, sew tears and ripped seams, or darn defects in items, using needles and thread or sewing machines.
AI: Partial - Patching and darning can be partially automated for standardized items, but the dexterity and judgement needed for diverse, irregular repairs limit full automation by 2025.
Repair holes by weaving thread over them, using needles.
AI: Partial - Robotic sewing and darning systems exist for some fabrics and standard repairs, but fine manual weaving over variable holes still often requires human skill.
Clean stains from fabric or garments, using spray guns and cleaning fluid.
AI: Partial - Automated pre-treatment sprayers and industrial cleaning lines handle many stains, but nuanced stain identification and tailored cleaning methods remain partly manual.
Re-knit runs and replace broken threads, using latch needles.
AI: Partial - Some machines can repair knit runs and replace threads on standardized knit goods, but irregular or delicate repairs typically still need human knitters.
Pull knots to the wrong sides of garments, using hooks.
AI: Partial - Robotic manipulators can perform simple hook-and-knot tasks in controlled setups, but variability in garments and knot types makes full automation uncommon.
Replace defective shrouds, and splice connections between shrouds and harnesses, using hand tools.
AI: Not automatable - Replacing shrouds and splicing harness connections are complex, safety-critical, hands-on tasks that lack reliable, widely deployed full automation as of 2025.