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JOB REPORT / 51-9032 · 25 TASKS

Cutting and Slicing Machine Setters, Operators, and Tenders.

Can AI do the work of Cutting and Slicing Machine Setters, Operators, and Tenders?

Mostly it works alongside you. Here is what shifts, task by task.

YOUR EXPERIENCE MATTERS

How does this fit your work?

How many tasks do you use AI to assist with at work?

Drag the dot. There’s no wrong answer; it starts at our estimate.

Starting pointOur estimate

The mark shows what’s typical for this job.

The parts of your job AI can already do most of:

  • Maintain production records

Your free lesson plan builds the skills that keep you ahead of AI.

A free set of short lessons, about 20 minutes each, at your own pace. No payment, no experience needed.

WHAT WE LOOKED AT

Your job, task by task.

8 of 25 tasks reviewed

This job has 25 core tasks. We went through 8 of them, one at a time.

Task by task, from the work Cutting and Slicing Machine Setters, Operators, and Tenders actually do. How we describe AI use in each task is our own read of it, not a measurement of whether AI can replace the job.

  1. TASK 01

    Maintain production records, such as quantities, types, and dimensions of materials produced.

    AI DOES

    Auto-fills record templates, spots data entry errors, and summarizes production totals

    YOU DO

    Verify actual machine output and confirm measurements are correct

  2. TASK 02SOURCE-BACKED TASK

    Review work orders, blueprints, specifications, or job samples to determine components, settings, and adjustments for cutting and slicing machines.

    AI DOES

    Scans blueprints and suggests machine settings

    YOU DO

    Judge quality needs and safety risks

    About this analysis

    33% · Methodology: exposure-v1 · Analysis date: unavailable · Confidence: medium

  3. TASK 03

    Monitor operation of cutting or slicing machines to detect malfunctions or to determine whether supplies need replenishment.

    AI DOES

    Flag sensor data anomalies or predict when supplies run low using connected IoT systems

    YOU DO

    Stay on the floor to catch sounds, smells, and visual cues no sensor covers yet

  4. TASK 04

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

    AI DOES

    Monitors sensor data and flags cutting errors or machine issues

    YOU DO

    Physically set up, load, and adjust the machine in real time

  5. TASK 05

    Adjust machine controls to alter position, alignment, speed, or pressure.

    AI DOES

    Monitors sensor data and suggests control adjustments on smart machines

    YOU DO

    Make physical adjustments and respond to what you see and feel in real time

  6. TASK 06

    Type instructions on computer keyboards, push buttons to activate computer programs, or manually set cutting guides, clamps, and knives.

    AI DOES

    Suggests settings or programs based on job specs

    YOU DO

    Physically adjust and verify every machine part is set correctly and safely

  7. TASK 07

    Stack and sort cut material for packaging, further processing, or shipping, according to types and sizes of material.

    AI DOES

    Guides robotic sorting systems in highly automated facilities

    YOU DO

    Handle varied shapes and sizes with physical dexterity and judgment

  8. TASK 08

    Remove completed materials or products from cutting or slicing machines, and stack or store them for additional processing.

    AI DOES

    Monitors production counts or flags when a batch is done via sensors

    YOU DO

    Physically handle, move, and stack the finished materials safely

START LEARNING AI

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Use your judgment.

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Data sources and attribution

This page includes information from the O*NET 30.3 Database by the U.S. Department of Labor, Employment and Training Administration (USDOL/ETA). Used under the CC BY 4.0 license. rtwoai has modified all or some of this information. USDOL/ETA has not approved, endorsed, or tested these modifications. O*NET® is a trademark of USDOL/ETA.

Wage and employment figures are from the U.S. Bureau of Labor Statistics, Occupational Employment and Wage Statistics (2025). Job outlook is from the BLS Employment Projections program, 2024–34. BLS data are in the public domain. BLS has not reviewed or endorsed this page.

Task collaboration data is from the Anthropic Economic Index, release 2025-03-27, used under the CC BY 4.0 license. Anthropic has not reviewed or endorsed this page.

How we describe AI use in each task is our own characterization, not a measurement of whether AI can replace this job. Microsoft note that their metrics "should not be misconstrued or misrepresented as measuring the ability of AI to replace jobs," and that there is more to an occupation than the sum of its tasks.