EXPOSURE TO AI
47%
MODERATE
OBSERVED IN REAL USE · Anthropic 2026
3%
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.
47% 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
- Direct or manage prevention programs in specialty areas such as aerospace, occupational, infectious disease, and environmental medicine
- Evaluate the effectiveness of prescribed risk reduction measures or other interventions
- Deliver presentations to lay or professional audiences
- Design, implement, or evaluate health service delivery systems to improve the health of targeted populations
- Provide information about potential health hazards and possible interventions to the media, the public, other health care professionals, or local, state, and federal health authorities
WHAT IT STILL CAN’T
- Supervise or coordinate the work of physicians, nurses, statisticians, or other professional staff members
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 47% 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