EXPOSURE TO AI
39%
MODERATE
OBSERVED IN REAL USE · Anthropic 2026
3%
of this role’s work is already showing up in real Claude usage (Anthropic Economic Index).
The boring parts are leaving. The judgment stays.
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
- Record athletes' medical care information, and maintain medical records
- Participate in continuing education activities to improve and maintain knowledge and skills
- Order and interpret the results of laboratory tests and diagnostic imaging procedures
- Advise against injured athletes returning to games or competition if resuming activity could lead to further injury
- Record athletes' medical histories, and perform physical examinations
WHAT IT STILL CAN’T
- Attend games and competitions to provide evaluation and treatment of activity-related injuries or medical conditions
- Observe and evaluate athletes' mental well-being
- Select and prepare medical equipment or medications to be taken to athletic competition sites
- Prescribe orthotics, prosthetics, and adaptive equipment
- Coordinate sports care activities with other experts, including specialty physicians and surgeons, athletic trainers, physical therapists, or coaches
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