EXPOSURE TO AI
15%
RESILIENT
OBSERVED IN REAL USE · Anthropic 2026
0%
of this role’s work is already showing up in real Claude usage (Anthropic Economic Index).
The last desk the machine reaches. Breathe.
15% 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
- Program computerized numerical control machine tools
- Create computer models of patterns or parts, using modeling software
- Read and interpret blueprints or drawings of parts to be cast or patterns to be made, compute dimensions, and plan operational sequences
- Lay out and draw or scribe patterns onto material, using compasses, protractors, rulers, scribes, or other instruments
WHAT IT STILL CAN’T
- Verify conformance of patterns or template dimensions to specifications, using measuring instruments such as calipers, scales, and micrometers
- Set up and operate machine tools, such as milling machines, lathes, drill presses, and grinders, to machine castings or patterns
- Repair and rework templates and patterns
- Assemble pattern sections, using hand tools, bolts, screws, rivets, glue, or welding equipment
- Construct platforms, fixtures, and jigs for holding and placing patterns
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 15% 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