EXPOSURE TO AI
48%
MODERATE
OBSERVED IN REAL USE · Anthropic 2026
7%
of this role’s work is already showing up in real Claude usage (Anthropic Economic Index).
Half in the fire, half out. Choose which half you become.
48% 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. In the blast radius. A real slice of the work is already automatable. The rest isn’t.
WHAT AI CAN ALREADY DO
- Write reports or proposals related to photonics research or development projects
- Document photonics system or component design processes, including objectives, issues, or outcomes
- Create or maintain photonic design histories
- Design or redesign optical fibers to minimize energy loss
- Design or develop new crystals for photonics applications
WHAT IT STILL CAN’T
- Develop or test photonic prototypes or models
- Design, integrate, or test photonics systems or components
- Train operators, engineers, or other personnel
- Analyze, fabricate, or test fiber-optic links
- Oversee or provide expertise on manufacturing, assembly, or fabrication processes
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 48% 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