◀ scan anotherGRINDING, LAPPING, POLISHING, AND BUFFING MACHINE TOOL SETTERS, OPERATORS, AND TENDERS, METAL AND PLASTICshare ⧉ EXPOSURE TO AI
6%
RESILIENT
OBSERVED IN REAL USE · Anthropic 2026
0%
of this role’s work is already showing up in real Claude usage (Anthropic Economic Index).
Robots can’t hold a hand, a scalpel, or your nerve.
6% of this role’s O*NET tasks are within reach of today’s AI. That is the core-weighted exposure score from Eloundou et al. 2023 (“GPTs are GPTs”). It measures a capability ceiling, not a headcount forecast. Certified hard to automate. Today’s AI barely touches the core of this one.
WHAT AI CAN ALREADY DO
- Compute machine indexings and settings for specified dimensions and base reference points
- Study blueprints, work orders, or machining instructions to determine product specifications, tool requirements, and operational sequences
WHAT IT STILL CAN’T
- Inspect or measure finished workpieces to determine conformance to specifications, using measuring instruments, such as gauges or micrometers
- Measure workpieces and lay out work, using precision measuring devices
- Observe machine operations to detect any problems, making necessary adjustments to correct problems
- Move machine controls to index workpieces, and to adjust machines for pre-selected operational settings
- Mount and position tools in machine chucks, spindles, or other tool holding devices, using hand tools
THE HONEST PART. A percentage is not a pink slip. High exposure usually means a role shrinks and shifts toward judgment, direction and responsibility: the parts a model can’t sign its name to. Exposure ≠ displacement. Breathe.
"My job is 6% cooked. What’s yours?"
SOURCES: O*NET 30.3 occupational tasks · Eloundou et al. 2023 (“GPTs are GPTs”,
arXiv:2303.10130) · Anthropic Economic Index 2026 (CC-BY) |
how this is calculated |
last updated 2026-07-16