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).
Certified irreplaceable. For now, gloriously human.
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
- Select cutting tools and tooling instructions, according to written specifications or knowledge of metal properties and shop mathematics
- Compute unspecified dimensions and machine settings, using knowledge of metal properties and shop mathematics
- Study blueprints, layouts or charts, and job orders for information on specifications and tooling instructions, and to determine material requirements and operational sequences
WHAT IT STILL CAN’T
- Adjust machine controls and change tool settings to keep dimensions within specified tolerances
- Replace worn tools, and sharpen dull cutting tools and dies, using bench grinders or cutter-grinding machines
- Inspect sample workpieces to verify conformance with specifications, using instruments such as gauges, micrometers, and dial indicators
- Start lathe or turning machines and observe operations to ensure that specifications are met
- Position, secure, and align cutting tools in toolholders on machines, using hand tools, and verify their positions with measuring instruments
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