AI Delegation Index

What work could you hand off to an AI agent?

Computer Numerically Controlled Tool Operators

Low

AI agents have a narrow supporting role here, mainly helping with preparation or documentation rather than doing the physical work.

Where agents can help most

  1. 1

    Update CNC program after problems

    Use an agent to compare the current run notes, blueprint, and program version, then draft the small code changes needed after a problem shows up during operation.

  2. 2

    Fix machine errors and confirm approval

    Use an agent to document machine faults, panel readings, and the corrections you tried so you have a clear record before you call the supervisor or programmer.

  3. 3

    Prepare production shift and job logs

    Use an agent to turn the notes, forms, readings, and completion details you provide into a clear production shift and job log.

Search another job

O*NET-SOC 51-9161.00 · #654 of 923

Result context

How to read this result

Operate computer-controlled tools, machines, or robots to machine or process parts, tools, or other work pieces made of metal, plastic, wood, stone, or other materials. May also set up and maintain equipment.

National position
#654 of 923 occupations
Top 71% of occupations
Overall AI delegation potential
Low
Potential of score-contributing workflows
Limited · 60/100
Meaningful work covered
25%

The overall rating combines how useful the best agent workflows are with how much of the occupation they address. It is not an estimate of job automation or replacement.

Recommended agent uses

3 workflows you could delegate to AI

1

Update CNC program after problems

How you could use an agent

Use an agent to compare the current run notes, blueprint, and program version, then draft the small code changes needed after a problem shows up during operation. The agent can save the revised program text, label the version, and prepare a short note explaining what changed for the next run.

Where you stay involved

You check whether the fix stays within what you are allowed to change, test the updated instructions, and decide if the job should keep running. If the change affects part design or needs approval, you stop and get the right person involved.

Review level: High

2

Fix machine errors and confirm approval

How you could use an agent

Use an agent to document machine faults, panel readings, and the corrections you tried so you have a clear record before you call the supervisor or programmer. The agent can help you compare the machine’s readings against the spec sheet and prepare a concise note for the person who has to decide the next step.

Where you stay involved

You make limited adjustments, watch the machine response, and decide when to pause and ask for approval to continue. You stop the run if the problem keeps coming back or you cannot tell what caused it.

Review level: High

3

Prepare production shift and job logs

Documentation support · not included in the score

How you could use an agent

Use an agent to turn the notes, forms, readings, and completion details you provide into a clear production shift and job log. It can organize the entries, check required fields, and flag gaps before you submit or store the record.

Where you stay involved

You perform the hands-on or in-person work, confirm that the source details are accurate, and approve the final record before it is used.

Review level: Medium

Supporting analysis

Why this occupation's AI delegation potential is Low

Underlying methodology score

51 / 100

This technical score determines the qualitative rating; it is not an estimate of the share of the occupation that can be automated.

Importance & frequency83
AI capability66
Digital actionability50
End-to-end leverage52
Safety & reversibility49
Meaningful-work coverage
25%
Physical-work modifier
Moderate
Safety modifier
Moderate
Qualitative judgment
No material constraint
O*NET task evidence
27 tasks

O*NET 31.0 · methodology 3.3.0. Every workflow passes an action-level physical-execution and protected human-and-veterinary clinical-action gate. Documentation workflows must own a complete digital loop and use digital task evidence only; support-only workflows are disclosed separately and excluded from scoring. Artistic, editorial, normative, and policy-dependent work receives a transparent human-judgment constraint. National ranking within 923 scored O*NET occupations under methodology 3.3.0.

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