Career card

Extruding, Forming, Pressing, and Compacting Machine Setters, Operators, and Tenders

Also called: Extruder Operator, Extrusion Operator, Machine Operator, Press Operator

Set up, operate, or tend machines, such as glass-forming machines, plodder machines, and tuber machines, to shape and form products such as glassware, food, rubber, soap, brick, tile, clay, wax, tobacco, or cosmetics.

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Median pay BLS, 2025$45,760
Openings a year BLS, 2025–355,200
Typical education to start BLSHigh school diploma or equivalent
AI exposure BLS, Aug 2026 Low
Projected job growth BLS, 2025–35 +1.5%

What the data says: AI could halve the time on 4 of its 26 tasks, and jobs are projected to grow 1.5% 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, 5.4% 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 60% 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 21% of 825 occupations
lowest-paidhighest-paid

Median pay by state BLS OEWS May 2025, state estimates

$36k$58knot published

Median pay in every state
StateMedianMiddle half earnJobs
Alabama$38,650$36,550 to $45,2201,510
Arizona$46,440$44,880 to $47,590700
Arkansas$48,320$44,600 to $48,3202,190
California$47,300$41,080 to $58,0104,210
Colorado$49,100$43,900 to $57,190280
Connecticut$46,090$39,130 to $57,480240
Florida$39,800$36,520 to $47,600780
Georgia$45,670$38,290 to $49,5301,150
Idaho$38,580$30,840 to $50,790210
Illinois$47,370$38,070 to $59,8501,690
Indiana$46,790$38,640 to $50,0803,150
Iowa$49,340$47,960 to $56,520500
Kansas$44,290$40,580 to $46,810600
Kentucky$36,180$32,210 to $45,2001,690
Louisiana$44,200$34,770 to $57,010200
Maine$57,990$44,600 to $61,450140
Maryland$46,640$37,870 to $51,140280
Massachusetts$47,220$43,050 to $51,410950
Michigan$39,790$37,170 to $48,6901,970
Minnesota$52,070$47,330 to $59,060560
Mississippi$46,560$37,800 to $57,500660
Missouri$47,470$37,300 to $55,3601,040
Nebraska$48,760$43,760 to $58,550750
Nevada$50,050$47,880 to $55,820not published
New Hampshire$47,730$44,210 to $50,080410
New Jersey$47,080$39,680 to $54,9301,880
New Mexico$36,710$31,110 to $36,71080
New York$44,660$36,300 to $62,3303,260
North Carolina$43,050$29,100 to $55,7103,420
North Dakota$46,220$42,290 to $53,000270
Ohio$47,070$40,000 to $53,5003,970
Oklahoma$42,180$37,290 to $42,3201,310
Oregon$48,360$44,450 to $58,800370
Pennsylvania$53,580$46,170 to $70,9202,450
Puerto Rico$23,330$21,840 to $27,720330
Rhode Island$39,230$33,780 to $49,57080
South Carolina$51,620$45,670 to $63,8202,460
South Dakota$43,240$38,250 to $51,200610
Tennessee$41,970$36,260 to $47,1404,210
Texas$37,710$36,080 to $46,1103,420
Utah$49,100$40,200 to $59,060250
Vermont$52,340$50,120 to $52,340160
Virginia$49,390$43,760 to $55,5001,810
Washington$44,510$42,720 to $52,340750
West Virginia$50,690$45,500 to $54,990180
Wisconsin$46,370$40,140 to $46,9001,730

Nationally: $45,760. 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 4 of its 26 tasks

1 · AI alone could halve the time 3 · AI + software built on it could 22 · Not much
AI ratingIts main tasks Share of Claude conversations
May 2026
Not much Press control buttons to activate machinery and equipment. Not published
Not much Monitor machine operations and observe lights and gauges to detect malfunctions. Not published
Not much Examine, measure, and weigh materials or products to verify conformance to standards, using measuring devices such as templates, micrometers, or scales. Not published
Not much Adjust machine components to regulate speeds, pressures, and temperatures, and amounts, dimensions, and flow of materials or ingredients. Not published
AI + software Record and maintain production data, such as meter readings, and quantities, types, and dimensions of materials produced. Not published
Not much Turn controls to adjust machine functions, such as regulating air pressure, creating vacuums, and adjusting coolant flow. Not published
See all 26 tasks
Not much Clear jams, and remove defective or substandard materials or products. Not published
Not much Notify supervisors when extruded filaments fail to meet standards. Not published
Not much Clean dies, arbors, compression chambers, and molds, using swabs, sponges, or air hoses. Not published
Not much Review work orders, specifications, or instructions to determine materials, ingredients, procedures, components, settings, and adjustments for extruding, forming, pressing, or compacting machines. Not published
Not much Move materials, supplies, components, and finished products between storage and work areas, using work aids such as racks, hoists, and handtrucks. Not published
Not much Synchronize speeds of sections of machines when producing products involving several steps or processes. Not published
AI + software Select and install machine components, such as dies, molds, and cutters, according to specifications, using hand tools and measuring devices. Not published
Not much Activate machines to shape or form products, such as candy bars, light bulbs, balloons, or insulation panels. Not published
Not much Feed products into machines by hand or conveyor. Not published
AI alone Send product samples to laboratories for analysis. Not published
Not much Disassemble equipment to repair it or to replace parts, such as nozzles, punches, and filters. Not published
Not much Remove molds, mold components, and feeder tubes from machinery after production is complete. Not published
Not much Remove materials or products from molds or from extruding, forming, pressing, or compacting machines, and stack or store them for additional processing. Not published
AI + software Complete work tickets, and place them with products. Not published
Not much Pour, scoop, or dump specified ingredients, metal assemblies, or mixtures into sections of machine prior to starting machines. Not published
Not much Measure arbors and dies to verify sizes specified on work tickets. Not published
Not much Measure, mix, cut, shape, soften, and join materials and ingredients, such as powder, cornmeal, or rubber to prepare them for machine processing. Not published
Not much Swab molds with solutions to prevent products from sticking. Not published
Not much Couple air and gas lines to machines to maintain plasticity of material and to regulate solidification of final products. Not published
Not much Install, align, and adjust neck rings, press plungers, and feeder tubes. 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 21 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 up4 of 26 tasksEloundou et al. ratings (2023)
Its activities among the 50 people ask AI for help with most2 of 21 activities
  • #8 Read documents or materials to inform work processes
  • #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
Measure physical characteristics of materials, products, or equipment 6.04#113 1.15#158
Position workpieces or materials on equipment 0.61#264 0.17#249
Remove workpieces from production equipment 0.06#323 0.05#284
Adjust equipment to ensure adequate performance 20#57 4.31#101
Maintain operational records 2.92#170 0.49#209
Disassemble equipment 2.48#182 0.82#170
Load products, materials, or equipment for transportation or further processing 0.15#308 0.01#322
Show all 21 activities
Read documents or materials to inform work processes 197#8 47#28
Select materials or equipment for operations or projects 45#38 19#49
Connect components or supply lines to equipment or tools 6.37#110 1.33#146
Maintain tools or equipment 4.47#136 1.04#167
Inspect completed work or finished products 3.91#150 1.95#130
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
Notify others of emergencies or problems 2.78#172 4.95#92
Cut materials 2.75#173 0.50#207
Monitor equipment operation 1.87#203 0.26#236
Position materials or components for assembly 1.64#208 0.45#213
Process shipments or mail 0.92#240 0.08#275
Move materials, equipment, or supplies 0.65#261 0.09#272
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 2 tasks 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 extruding, forming, pressing, and compacting machine setters, operators, and tenders 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.Extruding, forming, pressing, and compacting machine setters, operators, and tenders: +1.5%Extruding, Forming, Pressing, and Compacting Machine Setters, Operators, and TendersAI 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.Extruding, forming, pressing, and compacting machine setters, operators, and tenders: +1.5%Extruding, Forming, Pressing, and Compacting Machine Setters, Operators, and Tenders

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 4,038 moves out

  1. 1 First-Line Supervisors of Construction Trades and Extraction Workers Moderate +5.0% 9%
  2. 2 Chief Executives Very high +3.2% 4%
  3. 3 Managers, All Other (2010 group) an older group BLS has since split; no exposure group today 4%
  4. 4 Production Workers, All Other (2010 group) an older group BLS has since split; no exposure group today 3%
  5. 5 Postsecondary Teachers, All Other Very high +2.0% 3%

Where people moved in from

of 3,921 moves in

  1. 1 First-Line Supervisors of Construction Trades and Extraction Workers Moderate +5.0% 7%
  2. 2 Production Workers, All Other (2010 group) an older group BLS has since split; no exposure group today 6%
  3. 3 Laborers and Freight, Stock, and Material Movers, Hand Low +1.8% 4%
  4. 4 Welders, Cutters, Solderers, and Brazers Low +2.4% 3%
  5. 5 Customer Service Representatives Very high -5.3% 2%

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

  • 1% less than high school
  • 78% high school
  • 9% postsecondary certificate
  • 8% some college
  • 4% professional doctorate

O*NET 31.0 survey of workers in this occupation · 30 people answered.

Census survey (American Community Survey)

  • 20% less than high school
  • 51% high school
  • 17% some college
  • 7% associate's
  • 4% bachelor's
  • 1% professional degree

Census ACS 2024, all workers in this occupation · 257 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

10.1% this occupation

45.3% all occupations

By kindThis occupationAll occupations
a license<0.5%19.1%
a certification<0.5%5.8%
an educational certificate<0.5%2.8%

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 (Auger Press Oper, Man Controller; FORMING-MACHINE OPERATOR). Apprenticeship.gov can't be linked to one occupation, so search for “Extruding, Forming, Pressing, and Compacting Machine Setters, Operators, and Tenders” 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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