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AI exposure report
Will AI replace Computer Numerically Controlled Tool Programmers?
Some of your tasks will be automated. People who use AI will have the edge.
Task exposure to today's AI
Moderate exposure
This is the occupation's typical task mix. Your own score can be up to 30 points higher or lower depending on how you work: routine share, people contact, judgment and how much you already use AI.
Get your personal scoreWill AI replace Computer Numerically Controlled Tool Programmers?
Not entirely. Today's AI tools can take on about 49% of the typical work in this occupation, mostly: write programs in the language of a machine's controller and store programs on media, such as punch tapes, magnetic tapes, or disks. The parts that stay human include: Observe machines on trial runs or conduct computer simulations to ensure that programs and machinery will function properly and produce items that meet specifications.; Write programs in the language of a machine's controller and store programs on media, such as punch tapes, magnetic tapes, or disks.; Revise programs or tapes to eliminate errors, and retest programs to check that problems have been solved..
People who learn to use AI for the automatable parts keep the edge. The 3-phase plan below shows where to start.
Which tasks AI can take on
The largest tasks in this occupation, their share of the working week, and how much of each today's AI tools can do.
+ 9 more tasks (28% of the week) in the full test.
Your human edge
- Observe machines on trial runs or conduct computer simulations to ensure that programs and machinery will function properly and produce items that meet specifications.
- Write programs in the language of a machine's controller and store programs on media, such as punch tapes, magnetic tapes, or disks.
- Revise programs or tapes to eliminate errors, and retest programs to check that problems have been solved.
AI tools to try
Production and quality software with AIChatGPT / Claude for instructions and reportsVisual inspection systemsRelated roles
A 3-phase AI learning plan
Phase 1
AI for instructions and reports
- Work instructions and checklists in plain language.
- Shift reports and defect logs.
- Learn new machines and procedures with AI as a tutor.
Project
Use AI to turn one machine's G-code setup into a plain-language operator work instruction and setup checklist, then have two operators run it and cut setup questions by half.Phase 2
Quality and data
- How visual inspection and quality systems work.
- Read production data and spot trends.
- Report problems with clear evidence.
Project
Export 3 months of scrap and dimensional inspection data for one part family, use AI to chart trends and pinpoint the top tool-wear driver, and present the evidence to your supervisor.Phase 3
Toward technician or lead roles
- Automation, robotics and maintenance basics.
- Process improvement (lean, root cause).
- Lead a shift or a small team.
Project
Run an AI-assisted root cause analysis on your worst recurring program crash or cycle-time bottleneck, implement one fix, and document seconds saved per cycle over 20 parts.