---
title: "Will AI Replace Sewing Machine Operators? (2026)"
description: "BLS rates sewing machine operators' exposure to AI as low. What that means, which parts of the work AI touches, and the 2025–2035 outlook (-15.1%…"
canonical: "https://nuecareer.com/careers/will-ai-replace-sewing-machine-operators"
last-updated: "2026-10-15T08:19:32.066Z"
---

# Will AI Replace Sewing Machine Operators? (2026)

**Short answer:** Very unlikely. BLS rates sewing machine operators among the occupations least exposed to AI, and most of the work is the kind current AI tools cannot do.

The Bureau of Labor Statistics places sewing machine operators in its low AI exposure category, among the occupations least exposed to current AI. BLS projects employment to fall by 15.1% over 2025–2035, against 3.5% for all occupations, with about 9,800 openings a year.

| Measure | Value | Source |
| --- | --- | --- |
| BLS relative AI exposure | Low | BLS Employment Projections, AI exposure categories |
| NueCareer AI-resilience score | 42/100 | NueCareer analysis of O\*NET 31.0 Database |
| Projected employment change | -15.1% | BLS EP 2025–2035 |
| Openings a year | 9,800 | BLS EP 2025–2035 |
| Median annual wage | $36,670 | BLS OEWS May 2025 |

## Exposure categories

| BLS category | Occupations |
| --- | --- |
| Low (this job) | 203 |
| Moderate | 194 |
| High | 190 |
| Very high | 199 |

Exposure means AI could be or has been used to assist with or complete some of the work. BLS says it does not imply job loss, productivity gains, automation probability or wage effects. Method: https://www.bls.gov/emp/publications/ai-exposure-categories.htm

## What holds up

- Hands-on work with tools and objects: 4.7/5 (O\*NET work context)
- Handling and moving objects: 3.6/5 (O\*NET work activity importance)
- Face-to-face discussions: 3.5/5 (O\*NET work context)
- Inspecting equipment, structures, or materials: 3.4/5 (O\*NET work activity importance)

## What AI reaches first

- Repetitive motions: 4.4/5 (O\*NET work context)
- Time spent sitting: 4.4/5 (O\*NET work context)
- Being exact or highly accurate: 4.0/5 (O\*NET work context)

## O\*NET tasks

- Place spools of thread, cord, or other materials on spindles, insert bobbins, and thread ends through machine guides and components.
- Monitor machine operation to detect problems such as defective stitching, breaks in thread, or machine malfunctions.
- Select supplies such as fasteners and thread, according to job requirements.
- Fold or stretch edges or lengths of items while sewing to facilitate forming specified sections.
- Guide garments or garment parts under machine needles and presser feet to sew parts together.
- Perform equipment maintenance tasks such as replacing needles, sanding rough areas of needles, or cleaning and oiling sewing machines.

## Related careers that are also low-exposure

- [Paper Goods Machine Setter, Operator, and Tender](https://nuecareer.com/careers/paper-goods-machine-setter-operator-and-tender): BLS exposure Low, median $50,270
- [Shoe and Leather Worker and Repairer](https://nuecareer.com/careers/shoe-and-leather-worker-and-repairer): BLS exposure Low, median $37,800
- [Presser, Textile, Garment, and Related Materials](https://nuecareer.com/careers/presser-textile-garment-and-related-materials): BLS exposure Low, median $35,060
- [Shoe Machine Operator and Tender](https://nuecareer.com/careers/shoe-machine-operator-and-tender): BLS exposure Low, median $35,650
- [Cutter and Trimmer, Hand](https://nuecareer.com/careers/cutter-and-trimmer-hand): BLS exposure Low, median $38,020
- [Machine Feeder and Offbearer](https://nuecareer.com/careers/machine-feeder-and-offbearer): BLS exposure Low, median $41,220

## FAQ

**Will AI replace sewing machine operators?**

Very unlikely. BLS rates sewing machine operators among the occupations least exposed to AI, and most of the work is the kind current AI tools cannot do. BLS defines exposure as AI being able to assist with or complete some of the work, and says it does not imply job loss, productivity gains or wage effects. BLS projects employment to fall by 15.1% over 2025–2035, against 3.5% for all occupations, with about 9,800 openings a year.

**How exposed are sewing machine operators to AI?**

BLS sorts 786 occupations into four relative categories: low, moderate, high and very high. Sewing Machine Operators are in the low category, alongside 202 other occupations. The categories combine five public measures of where AI could be or already is used, and they compare occupations with each other rather than giving an absolute risk.

**What parts of a sewing machine operator's job can AI do?**

In O\*NET's description of the work, the parts that overlap most with what AI handles well are repetitive motions, time spent sitting and being exact or highly accurate. The parts that hold up best are hands-on work with tools and objects, handling and moving objects and face-to-face discussions. These come from O\*NET ratings of how important each activity is to the job, read through NueCareer's AI-resilience method.

**Is being a sewing machine operator a safe career from AI?**

On NueCareer's AI-resilience score, built from O\*NET work activities, sewing machine operators score 42 out of 100, higher than 45% of the occupations we score. The job pays a median of $36,670 a year (BLS OEWS, May 2025). No job is fully safe from technological change, but the federal exposure category and the projected openings are the two numbers worth weighing.

**What careers similar to sewing machine operators are less exposed to AI?**

Paper Goods Machine Setter, Operator, and Tender (low exposure, $50,270 median), Shoe and Leather Worker and Repairer (low exposure, $37,800 median), Presser, Textile, Garment, and Related Materials (low exposure, $35,060 median), Shoe Machine Operator and Tender (low exposure, $35,650 median). Each is also in the low category, and most are listed by O\*NET as related to the work.

Full profile: https://nuecareer.com/careers/sewing-machine-operator.

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This bank includes information from the O\*NET 31.0 Database by the U.S. Department of Labor, Employment and Training Administration (USDOL/ETA). Used under the CC BY 4.0 license (https://creativecommons.org/licenses/by/4.0/). O\*NET® is a trademark of USDOL/ETA. NueCareer has transformed the data by joining it to BLS wage and projection data and deriving facet, personality-fit and AI-resilience scores. BLS and BEA data are public domain (17 U.S.C. §105).

O\*NET content is used under [CC BY 4.0](https://creativecommons.org/licenses/by/4.0/). How these figures are sourced and derived: https://nuecareer.com/careers/methodology