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.
AI and jobs
Will AI Replace Sewing Machine Operators? (2026)
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.
- BLS AI exposure
- LowBLS EP supplemental table
- AI-resilience score
- 42/100Higher than 45% of jobs · NueCareer
- Projected change
- -15.1%BLS EP 2025–2035; all jobs 3.5%
- Openings a year
- 9,800BLS EP 2025–2035
The federal measure
How exposed sewing machine operators are to AI
The Bureau of Labor Statistics publishes a relative AI exposure category for each occupation it projects, built from five public measures of where AI could be, or already is, used to assist with or complete the work. Sewing Machine Operators land in the low category: among the occupations least exposed to current AI.
Where this job sits on the BLS scale
786 occupations in the NueCareer bank, in BLS's four relative categories; width shows how many fall in each
- Low · this job203 occupations · 26%
- Moderate194 occupations · 25%
- High190 occupations · 24%
- Very high199 occupations · 25%
Source: BLS Employment Projections, AI exposure categories supplemental table.
- Exposure is relative. The categories rank occupations against each other; they are not a probability that a job is automated.
- BLS says exposure does not imply job loss, productivity gains, automation probability or wage effects. A highly exposed job can still grow if AI makes the people in it more productive.
- The classification reflects AI capabilities as the underlying studies measured them. Read the BLS method and limitations.
Inside the work
What AI can and cannot do in this job
O*NET rates how important each work activity is to an occupation and how often each working condition comes up. The ratings below are the ones that move the job's NueCareer AI-resilience score the most: the ones that pull it up, and the ones that pull it down. Only ratings clearly above the midpoint count.
What holds up
Physical, hands-on and person-to-person work
- Hands-on work with tools and objects4.7/5O*NET work context, frequency or level
- Handling and moving objects3.6/5O*NET work activity, importance
- Face-to-face discussions3.5/5O*NET work context, frequency or level
- Inspecting equipment, structures, or materials3.4/5O*NET work activity, importance
What AI reaches first
Routine, repeatable and screen-based work
- Repetitive motions4.4/5O*NET work context, frequency or level
- Time spent sitting4.4/5O*NET work context, frequency or level
- Being exact or highly accurate4.0/5O*NET work context, frequency or level
The tasks O*NET lists for sewing machine operators
- 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.
O*NET 31.0 Database task statements, most important first.
The jobs
Will there still be jobs?
Exposure says where AI meets the work. The BLS projection says what the labor market is expected to do over 2025–2035. BLS projects -15.1% change in employment over the decade, against 3.5% across all occupations, and about 9,800 openings a year once retirements and career changes are counted. About 104,880 people work in the job today, at a median of $36,670 a year (BLS OEWS, May 2025).
Full sewing machine operator profile: pay by state, entry route and skills
Options
Related careers that are also low-exposure
Careers O*NET lists as related to the work, or in the same field at similar pay, that BLS places in a low exposure category.
- Median pay
- $50,270median a year
- Growth
- −3.6%
- Openings / yr
- 9,000
- Education
- High school
- Low
- BLS AI exposure
- 58/100
- resilience
Set up, operate, or tend paper goods machines that perform a variety of functions, such as converting, sawing, corrugating, banding, wrapping, boxing, stitching, forming, or sealing paper or paperboard sheets into pro…
Shoe and Leather Worker and Repairer
Production
- Median pay
- $37,800median a year
- Growth
- −6.5%
- Openings / yr
- 1,000
- Education
- High school
- Low
- BLS AI exposure
- 55/100
- resilience
Construct, decorate, or repair leather and leather-like products, such as luggage, shoes, and saddles.
- Median pay
- $35,060median a year
- Growth
- −15.7%
- Openings / yr
- 2,200
- Education
- No formal credential
- Low
- BLS AI exposure
- 54/100
- resilience
Press or shape articles by hand or machine.
Shoe Machine Operator and Tender
Production
- Median pay
- $35,650median a year
- Growth
- −6.9%
- Openings / yr
- 400
- Education
- High school
- Low
- BLS AI exposure
- 53/100
- resilience
Operate or tend a variety of machines to join, decorate, reinforce, or finish shoes and shoe parts.
Cutter and Trimmer, Hand
Production
- Median pay
- $38,020median a year
- Growth
- −18.9%
- Openings / yr
- 500
- Education
- No formal credential
- Low
- BLS AI exposure
- 47/100
- resilience
Use hand tools or hand-held power tools to cut and trim a variety of manufactured items, such as carpet, fabric, stone, glass, or rubber.
Machine Feeder and Offbearer
Transportation and Material Moving
- Median pay
- $41,220median a year
- Growth
- −13.1%
- Openings / yr
- 4,000
- Education
- No formal credential
- Low
- BLS AI exposure
- 44/100
- resilience
Feed materials into or remove materials from machines or equipment that is automatic or tended by other workers.
Questions
Will AI Replace Sewing Machine Operators? 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.
The AI exposure category is the Bureau of Labor Statistics'. The AI-resilience score and the activity breakdown are NueCareer's analysis of O*NET 31.0 Database data (method), not a federal figure. More: jobs most exposed to AI, jobs least exposed to AI, or check any job.