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EXPOSURE TO AI
43%
MODERATE
OBSERVED IN REAL USE · Anthropic 2026
0%
of this role’s work is already showing up in real Claude usage (Anthropic Economic Index).
Half in the fire, half out. Choose which half you become.

43% 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 or evaluate patients' medical histories
  • Develop or implement plans and procedures for ophthalmologic services
  • Develop treatment plans based on patients' histories and goals, the nature and severity of disorders, and treatment risks and benefits
  • Educate patients about maintenance and promotion of healthy vision
  • Perform, order, or interpret the results of diagnostic or clinical tests
WHAT IT STILL CAN’T
  • Provide or direct the provision of postoperative care
  • Perform ophthalmic surgeries such as cataract, glaucoma, refractive, corneal, vitro-retinal, eye muscle, or oculoplastic surgeries
  • Perform laser surgeries to alter, remove, reshape, or replace ocular tissue
  • Instruct interns, residents, or others in ophthalmologic procedures and techniques
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.
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