EXPOSURE TO AI
41%
MODERATE
OBSERVED IN REAL USE · Anthropic 2026
10%
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.
41% 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
- Maintain project logbook records or computer program files
- Review technical documents to ensure completeness and conformance to requirements
- Record laboratory or field data, including numerical data, test results, photographs, or summaries of visual observations
- Produce environmental assessment reports, tabulating data and preparing charts, graphs, or sketches
- Maintain process parameters and evaluate process anomalies
WHAT IT STILL CAN’T
- Collect and analyze pollution samples, such as air or ground water
- Decontaminate or test field equipment used to clean or test pollutants from soil, air, or water
- Prepare and package environmental samples for shipping or testing
- Receive, set up, test, or decontaminate equipment
- Assist in the cleanup of hazardous material spills
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 41% 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