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Multiple Machine Tool Setters, Operators, and Tenders, Metal and Plastic

Multiple Machine Tool Setters, Operators, and Tenders, Metal and Plastic score 10 out of 100, which is low exposure to AI. That ranks #747 of 923 US occupations, where #1 is the most exposed. Of the 21 tasks in this job, AI could speed up 2 on its own and 1 more with extra software built on top of it. None of its tasks showed up in real AI use in April–May 2026.

10/ 100
Low
Rank
#747of 923 jobs
US workers
124,590BLS, May 2025
Median pay
$47,180a year
In real AI use
0 of 21tasks, April–May 2026

Task by task

Each task this job involves, as listed by O*NET, rated on whether a large language model like GPT-4 could cut the time it takes by at least half at the same quality. Tasks marked Seen in real AI use appeared in conversations with Claude in April–May 2026 (Anthropic Economic Index).

  • AI can speed this up on its own: 2 (10%)
  • AI can speed this up with extra software: 1 (5%)
  • Little or no AI speed-up: 18 (86%)
  • Compute data, such as gear dimensions or machine settings, applying knowledge of shop mathematics.AI can speed this up on its own · core task
  • Write programs for computer numerical control (CNC) machines to cut metal and plastic materials.AI can speed this up on its own · supplemental task
  • Read blueprints or job orders to determine product specifications and tooling instructions and to plan operational sequences.AI can speed this up with extra software · core task
  • Inspect workpieces for defects, and measure workpieces to determine accuracy of machine operation, using rules, templates, or other measuring instruments.Little or no AI speed-up · core task
  • Position, adjust, and secure stock material or workpieces against stops, on arbors, or in chucks, fixtures, or automatic feeding mechanisms, manually or using hoists.Little or no AI speed-up · core task
  • Select, install, and adjust alignment of drills, cutters, dies, guides, and holding devices, using templates, measuring instruments, and hand tools.Little or no AI speed-up · core task
  • Observe machine operation to detect workpiece defects or machine malfunctions, adjusting machines as necessary.Little or no AI speed-up · core task
  • Set up and operate machines, such as lathes, cutters, shears, borers, millers, grinders, presses, drills, or auxiliary machines, to make metallic and plastic workpieces.Little or no AI speed-up · core task
  • Change worn machine accessories, such as cutting tools or brushes, using hand tools.Little or no AI speed-up · core task
  • Set machine stops or guides to specified lengths as indicated by scales, rules, or templates.Little or no AI speed-up · core task
  • Select the proper coolants and lubricants and start their flow.Little or no AI speed-up · core task
  • Remove burrs, sharp edges, rust, or scale from workpieces, using files, hand grinders, wire brushes, or power tools.Little or no AI speed-up · core task
  • Perform minor machine maintenance, such as oiling or cleaning machines, dies, or workpieces, or adding coolant to machine reservoirs.Little or no AI speed-up · core task
  • Make minor electrical and mechanical repairs and adjustments to machines and notify supervisors when major service is required.Little or no AI speed-up · core task
  • Start machines and turn handwheels or valves to engage feeding, cooling, and lubricating mechanisms.Little or no AI speed-up · core task
  • Move controls or mount gears, cams, or templates in machines to set feed rates and cutting speeds, depths, and angles.Little or no AI speed-up · core task
  • Instruct other workers in machine set-up and operation.Little or no AI speed-up · core task
  • Record operational data, such as pressure readings, lengths of strokes, feed rates, or speeds.Little or no AI speed-up · core task
  • Extract or lift jammed pieces from machines, using fingers, wire hooks, or lift bars.Little or no AI speed-up · core task
  • Measure and mark reference points and cutting lines on workpieces, using traced templates, compasses, and rules.Little or no AI speed-up · supplemental task
  • Align layout marks with dies or blades.Little or no AI speed-up · supplemental task

Questions about multiple machine tool setters, operators, and tenders, metal and plastic and AI

Will AI replace multiple machine tool setters, operators, and tenders, metal and plastic?

Unlikely. Most of the work is hard for today's AI to speed up. Multiple Machine Tool Setters, Operators, and Tenders, Metal and Plastic score 10 out of 100 (low exposure), #747 of 923 US jobs. AI could speed up 3 of the job's 21 tasks, 2 of them on its own, while 18 see little or no speed-up. Exposure means the work is likely to change, not that the job will disappear.

Which multiple machine tool setters, operators, and tenders, metal and plastic tasks can AI do?

The most exposed tasks include "Compute data, such as gear dimensions or machine settings, applying knowledge of shop mathematics"; "Write programs for computer numerical control (CNC) machines to cut metal and plastic materials".

Which multiple machine tool setters, operators, and tenders, metal and plastic tasks are hardest for AI?

Tasks with little or no AI speed-up include "Inspect workpieces for defects, and measure workpieces to determine accuracy of machine operation, using rules, templates, or other measuring instruments"; "Position, adjust, and secure stock material or workpieces against stops, on arbors, or in chucks, fixtures, or automatic feeding mechanisms, manually or using hoists"; "Select, install, and adjust alignment of drills, cutters, dies, guides, and holding devices, using templates, measuring instruments, and hand tools".

Are people already using AI for this work?

Not much yet. None of the job's tasks showed up in real conversations with Claude in April–May 2026, according to the Anthropic Economic Index.

How many people work as multiple machine tool setters, operators, and tenders, metal and plastic, and what do they earn?

About 124,590 people in the US, with median pay of $47,180 a year (BLS, May 2025).

How to read this score. Exposure measures how much of the work AI could speed up, not whether the job will disappear. A highly exposed job can change shape, with people spending less time on routine tasks and more on the rest. The score counts tasks AI can speed up on its own in full, and tasks that need extra software at half weight.

The ratings come from published research based on GPT-4 (2023). To show what's happening now, each task is also checked against the latest Anthropic Economic Index, which records which tasks people actually use AI for. That data is refreshed automatically when Anthropic publishes a new release. Read the full method.

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