AI exposure: Optometrists
Diagnose, manage, and treat conditions and diseases of the human eye and visual system. Examine eyes and visual system, diagnose problems or impairments, prescribe corrective lenses, and provide treatment. May prescribe therapeutic drugs to treat specific eye conditions.
Reading this score
computedAt 9.3% of weighted task load, Optometrists sits at the 12th percentile, below the point where a job's centre of gravity has moved. 68.5% of what this role does is untouched, meaning current systems cannot produce that work at all, whatever the commercial incentive.
What holds the line here is verification cost. Across this occupation's 10 tasks it averages 2.80 out of 3, the highest of the five friction dimensions. In plain terms, checking the output costs more than producing it. Where an undetected error is expensive, dangerous or irreversible, the economics change. Someone has to verify the work, and verifying can cost as much as doing it. This is the friction most likely to fall as tools for checking improve.
The most exposed thing this job does is Analyze test results and develop a treatment plan, at 35.0%. The least is Remove foreign bodies from the eye, at 1.7%. A gap of 33.3% between two parts of the same job is the reason this index publishes at task level. An occupation-wide number would have hidden both.
Within healthcare practitioner and technical occupations, this one is less exposed than the median of 18.5% across the group's 89 roles, with 82 scoring higher. Being in an exposed family does not make a particular job exposed, and the reverse holds too.
What would move this score. Of 10 tasks, 0 are currently banded exposed, 2 assisted and 8 untouched. For that distribution to shift materially would take robotics cheap and reliable enough to deploy at scale, not a better language model. The score is re-computed every quarter against a fresh capability reference, and the change is published rather than quietly applied.
Where the score comes from
judgedEvery task is scored through the standardised work activities it maps to. These are this occupation’s averages on the six rubric dimensions. Capability is what AI can do; the other five are what stands in the way.
| Dimension | Mean | Scale |
|---|---|---|
| Capability | 1.25 | 0-4 |
| Embodiment | 1.55 | 0-3 |
| Presence | 2.30 | 0-3 |
| Accountability | 2.75 | 0-3 |
| Context | 1.80 | 0-3 |
| Verification cost | 2.80 | 0-3 |
Task by task
10 tasks, O*NET 31.0| Task | Exposed | Assisted | Untouched | Importance | Band |
|---|---|---|---|---|---|
| Analyze test results and develop a treatment plan. | 35.0% | 40.0% | 25.0% | 4.95 | assisted |
| Consult with and refer patients to ophthalmologist or other health care practitioner if additional medical treatment is determined necessary. | 15.0% | 35.0% | 50.0% | 4.52 | assisted |
| Examine eyes, using observation, instruments, and pharmaceutical agents, to determine visual acuity and perception, focus, and coordination and to diagnose diseases and other abnormalities, such as glaucoma or color blindness. | 8.3% | 16.7% | 75.0% | 5.00 | untouched |
| Prescribe medications to treat eye diseases if state laws permit. | 8.3% | 16.7% | 75.0% | 4.81 | untouched |
| Prescribe therapeutic procedures to correct or conserve vision. | 6.7% | 18.3% | 75.0% | 4.38 | untouched |
| Educate and counsel patients on contact lens care, visual hygiene, lighting arrangements, and safety factors. | 5.0% | 20.0% | 75.0% | 4.71 | untouched |
| Prescribe, supply, fit and adjust eyeglasses, contact lenses, and other vision aids. | 3.8% | 8.8% | 87.5% | 4.81 | untouched |
| Provide patients undergoing eye surgeries, such as cataract and laser vision correction, with pre- and post-operative care. | 3.3% | 21.7% | 75.0% | 4.57 | untouched |
| Provide vision therapy and low-vision rehabilitation. | 3.3% | 21.7% | 75.0% | 4.10 | untouched |
| Remove foreign bodies from the eye. | 1.7% | 23.3% | 75.0% | 4.57 | untouched |
Task text and importance ratings sourced from O*NET 31.0. Shares computed. The occupation score is the importance-weighted mean.
Occupations either side of this one
The four closest scores in the same occupational family, then the four closest anywhere in the index.
Read this carefully. Exposure is not displacement. A high score means current AI systems can produce this work, not that anyone will stop paying a person to do it. Adoption depends on economics, regulation and inertia that this index deliberately does not model. How the score is built.
What this means in practice
Most of this work is not reachable by current systems, so the immediate pressure is on the administrative edges of the role rather than its core: the scheduling, the reporting, the written records. That is where time is recovered.