Career card

Cutting and Slicing Machine Setters, Operators, and Tenders

Also called: Cutter, Cutter Operator, Machine Operator, Paper Cutter

Set up, operate, or tend machines that cut or slice materials, such as glass, stone, cork, rubber, tobacco, food, paper, or insulating material.

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Median pay BLS, 2025$46,570
Openings a year BLS, 2025–355,400
Typical education to start BLSHigh school diploma or equivalent
AI exposure BLS, Aug 2026 Moderate
Projected job growth BLS, 2025–35 -0.9%

What the data says: AI could halve the time on 3 of its 28 tasks, and jobs are projected to shrink 0.9% 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, 4.6% of people in this work were unemployed, against 3.8% across all occupations Census ACS 2024, all workers in the Census group “Cutting workers”
  • From Sep 2025 to Aug 2026, 8.4 hires for every 10 job openings in nondurable goods manufacturing, which employs about 53% 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 24% of 825 occupations
lowest-paidhighest-paid

Median pay by state BLS OEWS May 2025, state estimates

$33k$58knot published

Median pay in every state
StateMedianMiddle half earnJobs
Alabama$39,740$36,450 to $49,250590
Alaska$46,240$39,420 to $48,82030
Arizona$46,780$40,750 to $53,720760
Arkansas$47,320$41,650 to $60,510800
California$46,110$39,980 to $51,2803,080
Colorado$51,750$44,560 to $58,280700
Connecticut$44,530$39,290 to $47,800450
Florida$40,540$36,380 to $48,4101,370
Georgia$44,130$36,110 to $49,3701,230
Idaho$46,840$46,810 to $48,820160
Illinois$49,740$47,490 to $58,6301,770
Indiana$46,150$40,170 to $53,2402,110
Iowa$49,600$44,900 to $60,890920
Kansas$44,760$43,550 to $48,110760
Kentucky$48,180$43,670 to $56,330900
Louisiana$41,170$36,000 to $50,420110
Maine$49,200$38,820 to $51,750160
Maryland$44,820$38,600 to $52,070280
Massachusetts$43,790$38,670 to $48,7401,280
Michigan$44,620$40,910 to $52,970730
Minnesota$58,260$51,420 to $63,1901,130
Mississippi$41,590$34,360 to $50,600710
Missouri$50,930$45,370 to $57,4001,120
Montana$51,540$41,720 to $59,500100
Nebraska$48,300$46,390 to $52,520530
Nevada$43,470$38,220 to $51,440340
New Hampshire$50,290$42,750 to $60,88090
New Jersey$48,600$39,460 to $59,8201,040
New Mexico$32,770$32,770 to $39,840200
New York$49,680$44,710 to $59,0801,870
North Carolina$43,770$37,290 to $49,8303,100
North Dakota$47,480$47,480 to $53,81070
Ohio$48,400$39,830 to $55,5303,000
Oklahoma$37,910$35,430 to $46,810620
Oregon$51,180$50,410 to $58,860990
Pennsylvania$46,850$39,950 to $55,4501,630
Puerto Rico$25,010$23,760 to $37,44050
Rhode Island$45,950$40,000 to $47,900210
South Carolina$47,410$38,410 to $51,560730
South Dakota$44,980$41,830 to $53,800460
Tennessee$44,030$37,630 to $46,2701,260
Texas$42,210$37,080 to $47,1703,650
Utah$45,510$39,740 to $50,740740
Vermont$52,220$46,600 to $60,470100
Virginia$44,790$40,230 to $49,830840
Washington$50,430$46,830 to $59,850760
West Virginia$37,920$36,840 to $44,960160
Wisconsin$48,040$42,450 to $54,3601,300

Nationally: $46,570. 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 3 of its 28 tasks

0 · AI alone could halve the time 3 · AI + software built on it could 25 · Not much
AI ratingIts main tasks Share of Claude conversations
May 2026
Not much Remove defective or substandard materials from machines, and readjust machine components so that products meet standards. Not published
Not much Start machines to verify setups, and make any necessary adjustments. Not published
AI + software Review work orders, blueprints, specifications, or job samples to determine components, settings, and adjustments for cutting and slicing machines. Not published
Not much Adjust machine controls to alter position, alignment, speed, or pressure. Not published
AI + software Type instructions on computer keyboards, push buttons to activate computer programs, or manually set cutting guides, clamps, and knives. Not published
AI + software Maintain production records, such as quantities, types, and dimensions of materials produced. Not published
See all 28 tasks
Not much Press buttons, pull levers, or depress pedals to start and operate cutting and slicing machines. Not published
Not much Examine, measure, and weigh materials or products to verify conformance to specifications, using measuring devices, such as rulers, micrometers, or scales. Not published
Not much Remove completed materials or products from cutting or slicing machines, and stack or store them for additional processing. Not published
Not much Stack and sort cut material for packaging, further processing, or shipping, according to types and sizes of material. Not published
Not much Set up, operate, or tend machines that cut or slice materials, such as glass, stone, cork, rubber, tobacco, food, paper, or insulating material. Not published
Not much Move stock or scrap to and from machines manually, or by using carts, handtrucks, or lift trucks. Not published
Not much Feed stock into cutting machines, onto conveyors, or under cutting blades, by threading, guiding, pushing, or turning handwheels. Not published
Not much Monitor operation of cutting or slicing machines to detect malfunctions or to determine whether supplies need replenishment. Not published
Not much Position stock along cutting lines, or against stops on beds of scoring or cutting machines. Not published
Not much Select and install machine components, such as cutting blades, rollers, and templates, according to specifications, using hand tools. Not published
Not much Change or replace saw blades, cables, cutter heads, and grinding wheels, using hand tools. Not published
Not much Clean and lubricate cutting machines, conveyors, blades, saws, or knives, using steam hoses, scrapers, brushes, or oil cans. Not published
Not much Mark cutting lines or identifying information on stock, using marking pencils, rulers, or scribes. Not published
Not much Operate cranes, or signal crane operators to position or remove stone from cars or saw beds. Not published
Not much Cut stock manually to prepare for machine cutting, using tools such as knives, cleavers, handsaws, or hammers and chisels. Not published
Not much Start pumps to circulate water and abrasives onto blades or cables during cutting. Not published
Not much Tighten pulleys or add abrasives to maintain cutting speeds. Not published
Not much Turn cranks or press buttons to activate winches that move cars under sawing cables or saw frames. Not published
Not much Direct workers on cutting teams. Not published
Not much Sharpen cutting blades, knives, or saws, using files, bench grinders, or honing stones. Not published
Not much Position width gauge blocks between blades, and level blades and insert wedges into frames to secure blades to frames. Not published
Not much Wash stones, using water hoses. 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 26 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 up3 of 28 tasksEloundou et al. ratings (2023)
Its activities among the 50 people ask AI for help with most3 of 26 activities
  • #8 Read documents or materials to inform work processes
  • #31 Program computer systems or production equipment
  • #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 cutting or grinding equipment 0.54#267 0.01#321
Position workpieces or materials on equipment 0.61#264 0.17#249
Adjust equipment to ensure adequate performance 20#57 4.31#101
Maintain tools or equipment 4.47#136 1.04#167
Load products, materials, or equipment for transportation or further processing 0.15#308 0.01#322
Operate lifting or moving equipment 0.09#318 0.02#311
Remove workpieces from production equipment 0.06#323 0.05#284
Read documents or materials to inform work processes 197#8 47#28
Show all 26 activities
Program computer systems or production equipment 58#31 12#63
Select materials or equipment for operations or projects 45#38 19#49
Set up equipment 20#58 4.69#95
Test performance of equipment or systems 9.09#97 2.28#123
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
Sort materials or products 3.97#147 1.71#135
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
Cut materials 2.75#173 0.50#207
Repair tools or equipment 1.87#202 0.18#246
Monitor equipment operation 1.87#203 0.26#236
Direct organizational operations, activities, or procedures 1.85#204 0.36#225
Position materials or components for assembly 1.64#208 0.45#213
Move materials, equipment, or supplies 0.65#261 0.09#272
Signal others to coordinate work activities 0.33#283 0.74#179
Operate pumping systems or equipment 0.16#307 0.02#297
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 cutting and slicing 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.Cutting and slicing machine setters, operators, and tenders: -0.9%Cutting and Slicing 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.Cutting and slicing machine setters, operators, and tenders: -0.9%Cutting and Slicing 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 8,563 moves out

  1. 1 Production Workers, All Other (2010 group) an older group BLS has since split; no exposure group today 6%
  2. 2 Postsecondary Teachers, All Other Very high +2.0% 4%
  3. 3 Managers, All Other (2010 group) an older group BLS has since split; no exposure group today 4%
  4. 4 Cashiers High -6.5% 4%
  5. 5 Laborers and Freight, Stock, and Material Movers, Hand Low +1.8% 3%

Where people moved in from

of 8,100 moves in

  1. 1 Cashiers High -6.5% 7%
  2. 2 Production Workers, All Other (2010 group) an older group BLS has since split; no exposure group today 7%
  3. 3 Laborers and Freight, Stock, and Material Movers, Hand Low +1.8% 5%
  4. 4 Medical Secretaries and Administrative Assistants Very high +4.8% 4%
  5. 5 Industrial Truck and Tractor Operators Low +1.5% 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

Census survey (American Community Survey)

  • 21% less than high school
  • 51% high school
  • 17% some college
  • 7% associate's
  • 3% bachelor's
  • 1% master's

Census ACS 2024, all workers in the Census group “Cutting workers” · 651 people surveyed.

Median pay by highest degree full-time, year-round · Census ACS 2024, all workers in the Census group “Cutting workers”

Jobs that require a credential BLS Occupational Requirements Survey 2023

19.0% 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 3 registered apprenticeships in this occupation (GANG SAWYER, STONE; STONE-LATHE OPERATOR; Wire Sawyer (Stonework)). Apprenticeship.gov can't be linked to one occupation, so search for “Cutting and Slicing 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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