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JOB REPORT / 51-4034 · 18 TASKS

Lathe and Turning Machine Tool Setters, Operators, and Tenders, Metal and Plastic.

Can AI do the work of Lathe and Turning Machine Tool Setters, Operators, and Tenders, Metal and Plastics?

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:

  • Compute unspecified dimensions and machine settings, using knowledge…
  • Study blueprints, layouts or charts, and job orders…
  • Program computer numerical control machines

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.

7 of 18 tasks reviewed

This job has 18 core tasks. We went through 7 of them, one at a time.

Task by task, from the work Lathe and Turning Machine Tool Setters, Operators, and Tenders, Metal and Plastics 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

    Compute unspecified dimensions and machine settings, using knowledge of metal properties and shop mathematics.

    AI DOES

    Calculates feeds, speeds, and dimensions using material data and formulas

    YOU DO

    Verify outputs against the actual machine setup and material behavior in the shop

  2. TASK 02

    Study blueprints, layouts or charts, and job orders for information on specifications and tooling instructions, and to determine material requirements and operational sequences.

    AI DOES

    Pulls key specs, tolerances, and material requirements from blueprints and job orders

    YOU DO

    Apply shop-floor experience to decide the right tooling order and catch anything the drawing doesn't spell out

  3. TASK 03

    Program computer numerical control machines.

    AI DOES

    Generates starting G-code, checks syntax, and suggests speeds and feeds based on material

    YOU DO

    Verify code against your specific machine, tooling, and part tolerances before running

  4. TASK 04

    Select cutting tools and tooling instructions, according to written specifications or knowledge of metal properties and shop mathematics.

    AI DOES

    Looks up tool recommendations, cutting speeds, and feed rates based on material and job specs

    YOU DO

    Trust your feel for how your specific machine, tooling, and material actually behave together

  5. TASK 05

    Adjust machine controls and change tool settings to keep dimensions within specified tolerances.

    AI DOES

    Monitors sensor data and alerts operators when measurements drift out of tolerance

    YOU DO

    Physically adjust controls, swap tools, and feel how the machine is running in real time

  6. TASK 06

    Move controls to set cutting speeds and depths and feed rates, and to position tools in relation to workpieces.

    AI DOES

    Suggests optimal speed, feed, and depth settings based on material and tool data

    YOU DO

    Physically operate controls and judge real-time machine feel and sound

  7. TASK 07

    Start lathe or turning machines and observe operations to ensure that specifications are met.

    AI DOES

    Analyzes sensor data and flags when readings drift outside spec ranges

    YOU DO

    Stand at the machine, use your senses, and make judgment calls as conditions change

START LEARNING AI

Practice AI.
Use your judgment.

There are 7 short lessons for this job, about 15 minutes each. Each one starts from a task above and teaches the part that stays with you.

Try a free lesson
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.