OBSERVED IN REAL USE · Anthropic 2026
0%
of this role’s work is already showing up in real Claude usage (Anthropic Economic Index).
Lightly singed at worst. Carry on.
33% 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. Mostly safe. AI helps around the edges, but the job stays human.
WHAT AI CAN ALREADY DO
- Take and document patients' medical histories
- Take anatomical or functional ocular measurements of the eye or surrounding tissue, such as axial length measurements
- Measure and record lens power, using lensometers
- Operate ophthalmic equipment, such as autorefractors, phoropters, tomographs, or retinoscopes
- Measure visual acuity, including near, distance, pinhole, or dynamic visual acuity, using appropriate tests
WHAT IT STILL CAN’T
- Conduct tonometry or tonography tests to measure intraocular pressure
- Administer topical ophthalmic or oral medications
- Assist physicians in performing ophthalmic procedures, including surgery
- Clean or sterilize ophthalmic or surgical instruments
- Maintain ophthalmic instruments or equipment
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 33% 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