EXPOSURE TO AI
37%
MODERATE
OBSERVED IN REAL USE · Anthropic 2026
4%
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.
37% 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
- Take and document patients' medical histories
- Measure and record lens power, using lensometers
- Calculate corrections for refractive errors
- Educate patients on ophthalmic medical procedures, conditions of the eye, and appropriate use of medications
- Take anatomical or functional ocular measurements, such as axial length measurements, of the eye or surrounding tissue
WHAT IT STILL CAN’T
- Conduct tonometry or tonography tests to measure intraocular pressure
- Administer topical ophthalmic or oral medications
- Clean or sterilize ophthalmic or surgical instruments
- Measure corneal thickness, using pachymeter or contact ultrasound methods
- Supervise or instruct ophthalmic staff
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 37% 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