EXPOSURE TO AI
39%
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.
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
- Document patients' health histories, symptoms, physical conditions, or other diagnostic information
- Explain procedures to patients, family members, staff members or others
- Document findings of physical examinations
- Write information in medical records or provide narrative summaries to communicate patient information to other health care providers
- Develop and implement individualized plans for health care management
WHAT IT STILL CAN’T
- Provide prenatal, intrapartum, postpartum, or newborn care to patients
- Monitor fetal development by listening to fetal heartbeat, taking external uterine measurements, identifying fetal position, or estimating fetal size and weight
- Provide patients with direct family planning services, such as inserting intrauterine devices, dispensing oral contraceptives, and fitting cervical barriers, including cervical caps or diaphragms
- Initiate emergency interventions to stabilize patients
- Educate patients and family members regarding prenatal, intrapartum, postpartum, newborn, or interconception care
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