EXPOSURE TO AI
46%
MODERATE
OBSERVED IN REAL USE · Anthropic 2026
0%
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.
46% 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
- Develop processes to separate components of liquids or gases or generate electrical currents, using controlled chemical processes
- Monitor and analyze data from processes and experiments
- Troubleshoot problems with chemical manufacturing processes
- Conduct research to develop new and improved chemical manufacturing processes
- Prepare estimate of production costs and production progress reports for management
WHAT IT STILL CAN’T
- Perform laboratory studies of steps in manufacture of new products and test proposed processes in small-scale operation, such as a pilot plant
- Direct activities of workers who operate or are engaged in constructing and improving absorption, evaporation, or electromagnetic equipment
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 46% 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