EXPOSURE TO AI
11%
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.
11% 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
- Record manufacturing information, such as quantities, sizes, or types of goods produced
- Develop sketches of glass products into blueprint specifications, applying knowledge of glass technology and glass blowing
WHAT IT STILL CAN’T
- Heat glass to pliable stage, using gas flames or ovens and rotating glass to heat it uniformly
- Inspect, weigh, and measure products to verify conformance to specifications, using instruments such as micrometers, calipers, magnifiers, or rulers
- Place glass into dies or molds of presses and control presses to form products, such as glassware components or optical blanks
- Spray or swab molds with oil solutions to prevent adhesion of glass
- Blow tubing into specified shapes to prevent glass from collapsing, using compressed air or own breath, or blow and rotate gathers in molds or on boards to obtain final shapes
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 11% 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