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.
29% 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
- Maintain records of customer prescriptions, work orders, and payments
- Perform administrative duties, such as tracking inventory and sales, submitting patient insurance information, and performing simple bookkeeping
- Recommend specific lenses, lens coatings, and frames to suit client needs
- Obtain a customer's previous record, or verify a prescription with the examining optometrist or ophthalmologist
- Arrange and maintain displays of optical merchandise
WHAT IT STILL CAN’T
- Evaluate prescriptions in conjunction with clients' vocational and avocational visual requirements
- Heat, shape, or bend plastic or metal frames to adjust eyeglasses to fit clients, using pliers and hands
- Show customers how to insert, remove, and care for their contact lenses
- Fabricate lenses to meet prescription specifications
- Assemble eyeglasses by cutting and edging lenses, and fitting the lenses into frames
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 29% 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