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JOB REPORT / 51-9196 · 14 TASKS

Paper Goods Machine Setters, Operators, and Tenders.

Can AI do the work of Paper Goods 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?

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The mark shows what’s typical for this job.

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WHAT WE LOOKED AT

Your job, task by task.

3 of 14 tasks reviewed

This job has 14 core tasks. We went through 3 of them, one at a time.

Task by task, from the work Paper Goods 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

    Examine completed work to detect defects and verify conformance to work orders, and adjust machinery as necessary to correct production problems.

    AI DOES

    Flags potential defects in camera-based inspection systems and logs production data

    YOU DO

    Physically inspect materials, feel for flaws, and turn real dials and levers to fix the machine

  2. TASK 02

    Monitor finished cartons as they drop from forming machines into rotating hoppers and into gravity feed chutes to prevent jamming.

    AI DOES

    Powers camera-based vision systems that flag possible jams on a screen

    YOU DO

    Stay present on the floor and physically clear jams the moment they happen

  3. TASK 03

    Stamp products with information such as dates, using hand stamps or automatic stamping devices.

    AI DOES

    Nothing on the floor itself, but could help schedule or log stamping runs

    YOU DO

    Stay present to operate, adjust, and monitor physical stamping equipment

START LEARNING AI

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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.