Will AI replace Grinding, Lapping, Polishing, and Buffing Machine Tool Setters, Operators, and Tenders, Metal and Plastic?
AI can do 6% of the work Grinding, Lapping, Polishing, and Buffing Machine Tool Setters, Operators, and Tenders, Metal and Plastic do at least twice as fast. Real use has not caught up: none of their tasks show up in real AI use yet, but AI could speed up 2 of them. Robots can technically handle 14 physical tasks. 2 still need a person.
AI is already doing this0 · 0% of time
People already use AI for these tasks in real work, based on Anthropic's analysis of how Claude is used.
- Real AI use has not reached any of this job's tasks yet.
AI could do this next2 · 6% of time
AI can speed these up by at least half, but real use has not caught up yet. These are next in line.
- Repair or replace machine parts, using hand tools, or notify engineering personnel when corrective action is required.4% of time
- Select machine tooling to be used, using knowledge of machine and production requirements.3% of time
Robots can technically do this14 · 88% of time
Physical tasks that today's robots can perform in at least some settings. Robots are cost competitive for very few tasks so far, so this change moves slower.
- Observe machine operations to detect any problems, making necessary adjustments to correct problems.Robots: purpose built settings18% of time
- Inspect or measure finished workpieces to determine conformance to specifications, using measuring instruments, such as gauges or micrometers.Robots: purpose built settings14% of time
- Set up, operate, or tend grinding and related tools that remove excess material or burrs from surfaces, sharpen edges or corners, or buff, hone, or polish metal or plastic workpieces.Robots: purpose built settings13% of time
- Lift and position workpieces, manually or with hoists, and secure them in hoppers or on machine tables, faceplates, or chucks, using clamps.Robots: purpose built settings9% of time
- Set and adjust machine controls according to product specifications, using knowledge of machine operation.Robots: purpose built settings8% of time
- Move machine controls to index workpieces, and to adjust machines for pre-selected operational settings.Robots: purpose built settings6% of time
- Mount and position tools in machine chucks, spindles, or other tool holding devices, using hand tools.Robots: purpose built settings5% of time
- Measure workpieces and lay out work, using precision measuring devices.Robots: purpose built settings4% of time
- Activate machine start-up switches to grind, lap, hone, debar, shear, or cut workpieces, according to specifications.Robots: purpose built settings4% of time
- Brush or spray lubricating compounds on workpieces, or turn valve handles and direct flow of coolant against tools and workpieces.Robots: purpose built settings3% of time
- Thread and hand-feed materials through machine cutters or abraders.Robots: purpose built settings3% of time
- Slide spacers between buffs on spindles to set spacing.Robots: purpose built settings1% of time
- Adjust air cylinders and setting stops to set traverse lengths and feed arm strokes.Robots: purpose built settings1% of time
- Maintain stocks of machine parts and machining tools.Robots: purpose built settings1% of time
Still needs a person2 · 6% of time
No real AI use, no proven AI speedup and no robot that can do it yet. This is the part of the job to build on.
- Study blueprints, work orders, or machining instructions to determine product specifications, tool requirements, and operational sequences.5% of time
- Compute machine indexings and settings for specified dimensions and base reference points.1% of time
Your week is not the average
Describe what you actually do and get a personal report: your own tasks, what AI can already do, what stays yours and a 90 day plan.
What this means
Little of this work suits AI. The bigger change here is robots: today's robots can technically do 88% of the working time, though they are rarely cheap enough to replace people yet.
What to do next
- Get ahead on the 2 tasks AI could do next. These move as tools improve, so learning them early pays off.
- Keep an eye on the 14 physical tasks robots can technically do. Cost keeps most robots out of work today, so this shift is slower.
- Build on the 2 tasks that stay human. This is where your judgment, skill and relationships matter most.
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