EXPOSURE TO AI
17%
RESILIENT
OBSERVED IN REAL USE · Anthropic 2026
0%
of this role’s work is already showing up in real Claude usage (Anthropic Economic Index).
Robots can’t hold a hand, a scalpel, or your nerve.
17% 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. Certified hard to automate. Today’s AI barely touches the core of this one.
WHAT AI CAN ALREADY DO
- Collect medical histories and general health and lifestyle information from patients
- Educate patients on topics, such as meditation, ergonomics, stretching, exercise, nutrition, the healing process, breathing, or relaxation techniques
- Maintain detailed and complete records of health care plans and prognoses
WHAT IT STILL CAN’T
- Adhere to local, state, and federal laws, regulations, and statutes
- Insert needles to provide acupuncture treatment
- Identify correct anatomical and proportional point locations based on patients' anatomy and positions, contraindications, and precautions related to treatments, such as intradermal needles, moxibustion, electricity, guasha, or bleeding
- Treat patients using tools, such as needles, cups, ear balls, seeds, pellets, or nutritional supplements
- Maintain and follow standard quality, safety, environmental, and infection control policies and procedures
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 17% 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