EXPOSURE TO AI
39%
MODERATE
OBSERVED IN REAL USE · Anthropic 2026
31%
of this role’s work is already showing up in real Claude usage (Anthropic Economic Index).
A co-pilot is coming for the busywork, not the wheel.
39% 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
- Prepare chemical solutions for products or processes, following standardized formulas, or create experimental formulas
- Write technical reports or prepare graphs or charts to document experimental results
- Monitor product quality to ensure compliance with standards and specifications
- Compile and interpret results of tests and analyses
- Order and inventory materials to maintain supplies
WHAT IT STILL CAN’T
- Conduct chemical or physical laboratory tests to assist scientists in making qualitative or quantitative analyses of solids, liquids, or gaseous materials
- Maintain, clean, or sterilize laboratory instruments or equipment
- Provide and maintain a safe work environment by participating in safety programs, committees, or teams and by conducting laboratory or plant safety audits
- Train new employees on topics such as the proper operation of laboratory equipment
- Operate experimental pilot plants, assisting with experimental design
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 39% 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