Career card

Pressers, Textile, Garment, and Related Materials

Also called: Ironing Worker, Pants Presser, Presser, Shirt Presser

Press or shape articles by hand or machine.

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Median pay BLS, 2025$35,060
Openings a year BLS, 2025–352,200
Typical education to start BLSNo formal educational credential
AI exposure BLS, Aug 2026 Low
Projected job growth BLS, 2025–35 -15.7%

What the data says: AI could halve the time on 1 of its 28 tasks, and jobs are projected to shrink 15.7% 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, 3.6% of people in this work were unemployed, against 3.8% across all occupations Census ACS 2024
  • From Sep 2025 to Aug 2026, 7.7 hires for every 10 job openings in other services, which employs about 92% 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 2% of 825 occupations
lowest-paidhighest-paid

Median pay by state BLS OEWS May 2025, state estimates

$27k$40knot published

Median pay in every state
StateMedianMiddle half earnJobs
Alabama$26,860$25,400 to $28,660390
Arizona$36,870$35,510 to $37,520360
Arkansas$29,880$28,830 to $31,680470
California$39,300$37,720 to $43,1603,850
Colorado$38,300$36,590 to $39,440320
Connecticut$36,030$35,440 to $39,330740
Florida$31,760$29,880 to $34,8402,130
Georgia$33,010$28,700 to $37,1601,010
Hawaii$35,980$31,780 to $36,99090
Idaho$35,990$35,020 to $42,950110
Illinois$40,230$35,810 to $46,740not published
Indiana$28,840$27,330 to $31,240410
Iowa$32,990$25,860 to $33,580100
Kansas$29,110$28,210 to $30,070150
Kentucky$31,200$27,760 to $34,720530
Louisiana$27,170$25,650 to $28,840190
Maine$38,020$35,600 to $38,46060
Maryland$34,390$32,750 to $38,110480
Massachusetts$36,410$35,320 to $37,650470
Michigan$36,290$34,700 to $38,070300
Mississippi$27,180$24,410 to $29,860400
Missouri$30,520$29,590 to $37,020330
Montana$35,270$32,110 to $35,66030
Nebraska$33,300$29,320 to $35,840170
Nevada$35,560$32,210 to $36,720820
New Hampshire$38,540$35,410 to $39,410100
New Jersey$37,920$35,460 to $38,200870
New Mexico$28,730$26,570 to $36,400110
New York$36,510$35,050 to $40,7601,730
North Carolina$29,300$27,460 to $34,620550
Ohio$30,820$29,870 to $34,730810
Oklahoma$28,340$26,710 to $29,400330
Oregon$36,860$36,360 to $42,520230
Pennsylvania$29,880$28,780 to $34,790700
Puerto Rico$21,980$21,840 to $22,780220
Rhode Island$36,390$34,530 to $36,950170
South Carolina$29,160$22,620 to $33,280220
Tennessee$29,460$27,810 to $39,800410
Texas$29,680$26,800 to $35,5503,490
Utah$35,320$31,200 to $35,580320
Virginia$31,220$28,500 to $34,210720
Washington$37,620$36,320 to $45,500460
West Virginia$28,400$27,870 to $30,60070
Wisconsin$35,500$34,230 to $39,470350
Wyoming$30,460$30,150 to $40,74050

Nationally: $35,060. 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 28 tasks

0 · AI alone could halve the time 1 · AI + software built on it could 27 · Not much
AI ratingIts main tasks Share of Claude conversations
May 2026
Not much Operate steam, hydraulic, or other pressing machines to remove wrinkles from garments and flatwork items, or to shape, form, or patch articles. Not published
Not much Remove finished pieces from pressing machines and hang or stack them for cooling, or forward them for additional processing. Not published
Not much Straighten, smooth, or shape materials to prepare them for pressing. Not published
Not much Lower irons, rams, or pressing heads of machines into position over material to be pressed. Not published
Not much Push and pull irons over surfaces of articles to smooth or shape them. Not published
Not much Finish pleated garments, determining sizes of pleats from evidence of old pleats or from work orders, using machine presses or hand irons. Not published
See all 28 tasks
Not much Hang, fold, package, and tag finished articles for delivery to customers. Not published
AI + software Select appropriate pressing machines, based on garment properties such as heat tolerance. Not published
Not much Slide material back and forth over heated, metal, ball-shaped forms to smooth and press portions of garments that cannot be satisfactorily pressed with flat pressers or hand irons. Not published
Not much Finish pants, jackets, shirts, skirts and other dry-cleaned and laundered articles, using hand irons. Not published
Not much Position materials such as cloth garments, felt, or straw on tables, dies, or feeding mechanisms of pressing machines, or on ironing boards or work tables. Not published
Not much Moisten materials to soften and smooth them. Not published
Not much Finish fancy garments such as evening gowns and costumes, using hand irons to produce high quality finishes. Not published
Not much Identify and treat spots on garments. Not published
Not much Shrink, stretch, or block articles by hand to conform to original measurements, using forms, blocks, and steam. Not published
Not much Spray water over fabric to soften fibers when not using steam irons. Not published
Not much Press ties on small pressing machines. Not published
Not much Block or shape knitted garments after cleaning. Not published
Not much Clean and maintain pressing machines, using cleaning solutions and lubricants. Not published
Not much Activate and adjust machine controls to regulate temperature and pressure of rollers, ironing shoes, or plates, according to specifications. Not published
Not much Finish velvet garments by steaming them on bucks of hot-head presses or steam tables, and brushing pile (nap) with handbrushes. Not published
Not much Insert heated metal forms into ties and touch up rough places with hand irons. Not published
Not much Use covering cloths to prevent equipment from damaging delicate fabrics. Not published
Not much Examine and measure finished articles to verify conformance to standards, using measuring devices such as tape measures and micrometers. Not published
Not much Brush materials made of suede, leather, or felt to remove spots or to raise and smooth naps. Not published
Not much Select, install, and adjust machine components, including pressing forms, rollers, and guides, using hoists and hand tools. Not published
Not much Measure fabric to specifications, cut uneven edges with shears, fold material, and press it with an iron to form a heading. Not published
Not much Sew ends of new material to leaders or to ends of material in pressing machines, using sewing 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 28 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 28 tasks fall under 17 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 28 tasksEloundou et al. ratings (2023)
Its activities among the 50 people ask AI for help with most1 of 17 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
Operate industrial processing or production equipment 0.13#309 0.02#301
Position workpieces or materials on equipment 0.61#264 0.17#249
Prepare industrial materials for processing or use 0.42#277 0.17#251
Select materials or equipment for operations or projects 45#38 19#49
Set up equipment 20#58 4.69#95
Measure physical characteristics of materials, products, or equipment 6.04#113 1.15#158
Clean workpieces, finished products, or other objects 4.02#145 1.20#155
Adjust equipment to ensure adequate performance 20#57 4.31#101
Show all 17 activities
Inspect characteristics or conditions of materials or products 6.84#109 1.28#150
Maintain tools or equipment 4.47#136 1.04#167
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
Cut materials 2.75#173 0.50#207
Package objects 0.69#258 0.14#259
Sew garments or materials 0.16#304 0.02#303
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”)
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 pressers, textile, garment, and related materials 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.Pressers, textile, garment, and related materials: -15.7%Pressers, Textile, Garment, and Related MaterialsAI 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.Pressers, textile, garment, and related materials: -15.7%Pressers, Textile, Garment, and Related Materials

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 in from

of 231 moves in

  1. 1 Customer Service Representatives Very high -5.3% 14%
  2. 2 Cashiers High -6.5% 12%
  3. 3 Managers, All Other (2010 group) an older group BLS has since split; no exposure group today 8%
  4. 4 First-Line Supervisors of Food Preparation and Serving Workers High +5.4% 6%
  5. 5 Retail Salespersons Very high -0.3% 6%

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

  • 59% less than high school
  • 26% high school
  • 1% associate's
  • 14% research doctorate

O*NET 31.0 survey of workers in this occupation · 21 people answered.

Census survey (American Community Survey)

  • 32% less than high school
  • 47% high school
  • 16% some college
  • 4% associate's
  • 1% bachelor's

Census ACS 2024, all workers in this occupation · 254 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

BLS publishes no credential figures for this occupation.

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

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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