EXPOSURE TO AI
16%
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.
16% 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 computer numerical control (CNC) machines to fabricate model parts
- Use computer-aided design (CAD) and computer-aided manufacturing (CAM) software or hardware to fabricate model parts
- Study blueprints, drawings, and sketches to determine material dimensions, required equipment, and operations sequences
WHAT IT STILL CAN’T
- Inspect and test products to verify conformance to specifications, using precision measuring instruments or circuit testers
- Drill, countersink, and ream holes in parts and assemblies for bolts, screws, and other fasteners, using power tools
- Cut, shape, and form metal parts, using lathes, power saws, snips, power brakes and shears, files, and mallets
- Set up and operate machines, such as lathes, drill presses, punch presses, or bandsaws, to fabricate prototypes or models
- Rework or alter component model or parts as required to ensure that products meet standards
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 16% 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