Career card

Sewing Machine Operators

Also called: Sample Maker, Seamstress, Sewer, Sewing Machine Operator

Operate or tend sewing machines to join, reinforce, decorate, or perform related sewing operations in the manufacture of garment or nongarment products.

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Median pay BLS, 2025$36,670
Openings a year BLS, 2025–359,800
Typical education to start BLSNo formal educational credential
AI exposure BLS, Aug 2026 Low
Projected job growth BLS, 2025–35 -15.1%

What the data says: AI could halve the time on 1 of its 26 tasks, and jobs are projected to shrink 15.1% by 2035. How to think about this →

About this projection

BLS builds AI into its projections where the research supports it: “BLS generally applies adjustments based on this research conservatively, where there is convincing evidence for a change.”

It also notes a limit: “BLS projection methods are not designed to capture extremely rapid technological change.”

On its AI exposure groups, BLS says exposure “does not imply job loss.”

Recent conditions

  • In 2024, 4.8% of people in this work were unemployed, against 3.8% across all occupations Census ACS 2024
  • From Sep 2025 to Aug 2026, 8.4 hires for every 10 job openings in nondurable goods manufacturing, which employs about 57% of people in this work, against 7.3 across all industries BLS JOLTS One box per opening, filled for each hire; hires beyond the openings are added in a lighter shade. Higher can mean openings get filled, or that people leave often; lower, that jobs go unfilled, or hiring is slow.

How to read these

Pay compared with all occupations BLS median wages Pays more than 6% of 825 occupations
lowest-paidhighest-paid

Median pay by state BLS OEWS May 2025, state estimates

$29k$46knot published

Median pay in every state
StateMedianMiddle half earnJobs
Alabama$30,830$27,390 to $35,4102,300
Alaska$43,850$36,710 to $56,90040
Arizona$40,210$36,660 to $45,4301,420
Arkansas$35,630$29,340 to $38,640860
California$37,940$36,380 to $44,28013,240
Colorado$43,840$37,920 to $47,720970
Connecticut$37,780$34,830 to $44,030480
Delaware$37,690$34,500 to $44,35060
Florida$33,270$28,290 to $36,7506,790
Georgia$34,790$29,670 to $37,8903,420
Hawaii$39,230$35,120 to $48,180280
Idaho$37,160$34,480 to $42,720410
Illinois$36,220$34,860 to $42,1004,060
Indiana$38,440$33,420 to $45,2903,400
Iowa$35,870$31,740 to $39,660590
Kansas$35,360$30,130 to $38,020650
Kentucky$29,460$24,070 to $36,1702,750
Louisiana$29,600$23,930 to $34,210610
Maine$43,520$38,270 to $47,130700
Maryland$35,860$31,360 to $42,8801,390
Massachusetts$42,910$37,620 to $46,1601,540
Michigan$37,490$30,300 to $43,3903,210
Minnesota$38,930$35,520 to $47,1201,890
Mississippi$37,600$30,460 to $42,7002,270
Missouri$35,610$30,130 to $37,3502,320
Montana$36,740$29,070 to $42,380190
Nebraska$37,060$31,680 to $40,170300
Nevada$45,750$37,080 to $54,870910
New Hampshire$41,740$34,790 to $49,860190
New Jersey$36,130$33,330 to $39,1002,750
New Mexico$34,840$29,970 to $37,030220
New York$38,480$36,790 to $45,7306,130
North Carolina$35,160$28,940 to $40,1508,290
North Dakota$35,700$33,260 to $42,110110
Ohio$35,760$32,210 to $38,7904,100
Oklahoma$33,340$27,590 to $36,990580
Oregon$39,780$36,080 to $47,5101,250
Pennsylvania$35,640$30,850 to $39,6403,390
Puerto Rico$21,840$21,840 to $21,9305,410
Rhode Island$38,670$33,280 to $45,870270
South Carolina$38,250$32,840 to $43,5302,460
South Dakota$39,000$32,210 to $44,980300
Tennessee$34,220$23,500 to $40,3103,300
Texas$31,000$26,200 to $37,4006,950
Utah$35,550$32,470 to $39,4101,020
Vermont$40,850$36,440 to $44,880220
Virginia$35,790$29,730 to $42,2402,010
Washington$43,360$39,130 to $46,4701,600
West Virginia$29,320$25,340 to $35,990180
Wisconsin$40,370$36,620 to $46,9602,370
Wyoming$36,510$31,680 to $38,760110

Nationally: $36,670. Shades run from the lowest state median to the highest; a territory below that range takes the lightest. How to read this

How AI touches the work

What AI could speed up, task by task, and where people already use it.

AI could halve the time on 1 of its 26 tasks

0 · AI alone could halve the time 1 · AI + software built on it could 25 · Not much
AI ratingIts main tasks Share of Claude conversations
May 2026
Not much Place spools of thread, cord, or other materials on spindles, insert bobbins, and thread ends through machine guides and components. Not published
Not much Monitor machine operation to detect problems such as defective stitching, breaks in thread, or machine malfunctions. Not published
Not much Guide garments or garment parts under machine needles and presser feet to sew parts together. Not published
Not much Select supplies such as fasteners and thread, according to job requirements. Not published
Not much Fold or stretch edges or lengths of items while sewing to facilitate forming specified sections. Not published
Not much Position items under needles, using marks on machines, clamps, templates, or cloth as guides. Not published
See all 26 tasks
Not much Perform equipment maintenance tasks such as replacing needles, sanding rough areas of needles, or cleaning and oiling sewing machines. Not published
Not much Turn knobs, screws, and dials to adjust settings of machines, according to garment styles and equipment performance. Not published
Not much Cut excess material or thread from finished products. Not published
Not much Remove holding devices and finished items from machines. Not published
Not much Repair or alter items by adding replacement parts or missing stitches. Not published
Not much Examine and measure finished articles to verify conformance to standards, using rulers. Not published
Not much Match cloth pieces in correct sequences prior to sewing them, and verify that dye lots and patterns match. Not published
Not much Start and operate or tend machines, such as single or double needle serging and flat-bed felling machines, to automatically join, reinforce, or decorate material or articles. Not published
Not much Attach tape, trim, appliques, or elastic to specified garments or garment parts, according to item specifications. Not published
AI + software Record quantities of materials processed. Not published
Not much Cut materials according to specifications, using blades, scissors, or electric knives. Not published
Not much Mount attachments, such as needles, cutting blades, or pattern plates, and adjust machine guides according to specifications. Not published
Not much Tape or twist together thread or cord to repair breaks. Not published
Not much Inspect garments, and examine repair tags and markings on garments to locate defects or damage, and mark errors as necessary. Not published
Not much Attach buttons, hooks, zippers, fasteners, or other accessories to fabric, using feeding hoppers or clamp holders. Not published
Not much Baste edges of material to align and temporarily secure parts for final assembly. Not published
Not much Draw markings or pin appliques on fabric to obtain variations in design. Not published
Not much Position and mark patterns on materials to prepare for sewing. Not published
Not much Perform specialized or automatic sewing machine functions, such as buttonhole making or tacking. Not published
Not much Position material or articles in clamps, templates, or hoop frames prior to automatic operation of machines. Not published

Ordered by how important O*NET's respondents rate each task (1 to 5) times the share who say it is part of their job. The ordering is ours. 0 of the 26 have a published share of Claude conversations; “not published” means too few conversations for Anthropic to publish a figure.

Where people already use AI

The tasks above say what AI could speed up. This shows what people are using it for. Its 26 tasks fall under 18 work activities that many occupations share, and Microsoft counted how often each one came up in 200,000 conversations with its Copilot assistant in 2024.

Tasks AI could speed up1 of 26 tasksEloundou et al. ratings (2023)
Its activities among the 50 people ask AI for help with most1 of 18 activities
  • #38 Select materials or equipment for operations or projects
Microsoft Copilot (2024), ranked among all 332 activities. The cut-off of 50 is ours.
Work activity This occupation's tasks under it People asked AI for help
in 10,000 conversations
AI did it for them
in 10,000 conversations
Position workpieces or materials on equipment 0.61#264 0.17#249
Sew garments or materials 0.16#304 0.02#303
Position materials or components for assembly 1.64#208 0.45#213
Create decorative objects or parts of objects 18#60 9.25#67
Inspect characteristics or conditions of materials or products 6.84#109 1.28#150
Cut materials 2.75#173 0.50#207
Select materials or equipment for operations or projects 45#38 19#49
Measure physical characteristics of materials, products, or equipment 6.04#113 1.15#158
Show all 18 activities
Maintain tools or equipment 4.47#136 1.04#167
Position tools or equipment 3.37#157 0.78#176
Clean tools, equipment, facilities, or work areas 3.36#158 1.16#157
Mark materials or objects for identification 3.28#160 0.80#172
Maintain operational records 2.92#170 0.49#209
Disassemble equipment 2.48#182 0.82#170
Repair tools or equipment 1.87#202 0.18#246
Monitor equipment operation 1.87#203 0.26#236
Load products, materials, or equipment for transportation or further processing 0.15#308 0.01#322
Remove workpieces from production equipment 0.06#323 0.05#284
Task: AI alone Task: AI + software Task: not much #: rank among all 332 activities Microsoft measured (#1 = most common; activities that never came up share last place, shown as “tied”)
Where the two sources differ: “Maintain operational records” holds 1 task rated AI + software, yet people asked AI for help with it in 2.92 of every 10,000 conversations, #170 of 332.
How to read this

Work activities come from O*NET, which links every task to the broader activities it involves. Microsoft's figures are for the activity across everyone who used Copilot, not for sewing machine operators specifically. Copilot is a general chat assistant; dedicated coding tools are not included, so programming help is under-counted here. Activities are listed by how many of this occupation's tasks fall under them.

The task ratings say whether AI could halve the time a task takes: on its own (“AI alone”), or with software built on it (“AI + software”). They were made by people in 2023 (Eloundou et al.). Claude's share is the task's share of all Claude.ai conversations in May 2026; Anthropic doesn't publish a task with too few conversations. None of these add up to the BLS exposure group, which combines five research measures.

More in the Guide: task ratings · task order · work activities · Copilot figures · Claude

High exposure doesn't mean fewer jobs

BLS projects most occupations in its two most exposed groups to grow: 141 of 206 rated Very high and 165 of 206 rated High. Each dot is one of the 831 occupations BLS rates.

AI exposure and projected job growth, 831 occupationsLow exposure: 134 of 213 occupations projected to grow. Moderate exposure: 151 of 206 occupations projected to grow. High exposure: 165 of 206 occupations projected to grow. Very high exposure: 141 of 206 occupations projected to grow.-20%-15%-10%-5%0%+5%+10%+15%+20%+25%Low134 of 213 growingModerate151 of 206 growingHigh165 of 206 growingVery high141 of 206 growing11 occupations outside −20% to +25% are drawn at the edge. Click a dot to see that occupation.Sewing machine operators: -15.1%Sewing Machine OperatorsAI exposure and projected job growth, 831 occupationsLow exposure: 134 of 213 occupations projected to grow. Moderate exposure: 151 of 206 occupations projected to grow. High exposure: 165 of 206 occupations projected to grow. Very high exposure: 141 of 206 occupations projected to grow.-20%-15%-10%-5%0%+5%+10%+15%+20%+25%Low134 of 213Moderate151 of 206High165 of 206Very high141 of 20611 occupations outside −20% to +25% are drawn at the edge. Tap a dot.Sewing machine operators: -15.1%Sewing Machine Operators

Career moves into and out of this occupation

From moves between occupations found in online resumes, 2002–2016. Career changes only: a first job after school isn't a move.

Where people moved next

of 4,600 moves out

  1. 1 Heavy and Tractor-Trailer Truck Drivers Moderate +3.8% 7%
  2. 2 Managers, All Other (2010 group) an older group BLS has since split; no exposure group today 5%
  3. 3 Secretaries and Administrative Assistants, Except Legal, Medical, and Executive Very high -6.0% 4%
  4. 4 Sales Managers High +4.5% 4%
  5. 5 Bus Drivers, School or Special Client (2010 group) an older group BLS has since split; no exposure group today 3%

Where people moved in from

of 4,595 moves in

  1. 1 Secretaries and Administrative Assistants, Except Legal, Medical, and Executive Very high -6.0% 5%
  2. 2 File Clerks Very high -15.8% 5%
  3. 3 Production Workers, All Other (2010 group) an older group BLS has since split; no exposure group today 5%
  4. 4 Bookkeeping, Accounting, and Auditing Clerks Very high -5.6% 4%
  5. 5 Customer Service Representatives Very high -5.3% 4%

Resumes over-represent younger, white-collar job-seekers and moves into management. Schubert, Stansbury and Taska (resume data).

Education and training for the occupation

Education people in it hold

O*NET survey of workers in this occupation

  • 53% less than high school
  • 41% high school
  • 1% postsecondary certificate
  • 5% associate's

O*NET 31.0 survey of workers in this occupation · 38 people answered.

Census survey (American Community Survey)

  • 34% less than high school
  • 36% high school
  • 14% some college
  • 6% associate's
  • 8% bachelor's
  • 2% master's

Census ACS 2024, all workers in this occupation · 1,200 people surveyed.

Why the two can differ

O*NET asks about 20 people in each occupation, which makes its shares uncertain, but it reports the exact occupation and counts certificates. The Census survey reaches thousands, but it groups some occupations together and counts degrees only. More in the Guide

Median pay by highest degree full-time, year-round · Census ACS 2024, all workers in this occupation

Jobs that require a credential BLS Occupational Requirements Survey 2023

<15% this occupation

45.3% all occupations

By kindThis occupationAll occupations
a licensenot published
a certificationnot published
an educational certificatenot published

Share of jobs whose employer requires it. BLS doesn't say which credential. How to read this

Look up certifications, training and licenses U.S. Department of Labor

  • Certification Finder ↗ certifications CareerOneStop lists for this occupation
  • Training Finder ↗ schools and programs, nationwide; narrow the place there
  • License Finder ↗ licenses by state
  • Apprenticeship Finder ↗ DOL lists 2 registered apprenticeships in this occupation (FUR FINISHER; Industrial Sewing Machine Operator). Apprenticeship.gov can't be linked to one occupation, so search for “Sewing Machine Operators” there.

These open in a new tab and send only the occupation's public code. More in the Guide

See where your own career could go Start by uploading your resume Browse careers

BLS AI exposure categories (Aug 2026) · BLS Employment Projections 2025–35 · O*NET 31.0 · Task ratings: Eloundou et al., Science (2024) · Microsoft "Working with AI" v1.1 · Anthropic Economic Index (2026-06-26) · Schubert, Stansbury and Taska · NCES CIP–SOC · Census ACS 2024 · BLS JOLTS

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