EXPOSURE TO AI
49%
MODERATE
OBSERVED IN REAL USE · Anthropic 2026
5%
of this role’s work is already showing up in real Claude usage (Anthropic Economic Index).
The boring parts are leaving. The judgment stays.
49% 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
- Communicate research or project results to other professionals or the public or teach related courses, seminars, or workshops
- Develop methods of conserving or managing soil that can be applied by farmers or forestry companies
- Provide information or recommendations to farmers or other landowners regarding ways in which they can best use land, promote plant growth, or avoid or correct problems such as erosion
- Conduct experiments to develop new or improved varieties of field crops, focusing on characteristics such as yield, quality, disease resistance, nutritional value, or adaptation to specific soils or climates
- Investigate soil problems or poor water quality to determine sources and effects
WHAT IT STILL CAN’T
- Conduct experiments regarding causes of bee diseases or factors affecting yields of nectar or pollen
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 49% 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