Optometrists and Ophthalmic Opticians

← The GenAI exposure gradient

On the International Labour Organization's 2025 global study, the 7 task statements that define Optometrists and Ophthalmic Opticians (ISCO-08 2267) score an average of 0.24 on a 0–1 exposure scale — more exposed than about 43% of the 427 placed occupations. Roughly 0% of its tasks fall somewhere on the exposed part of the gradient, and the typical task lands in the Not exposed band.

Exposure is task overlap, not a verdict. A high score means a generative-AI model can do part of the content of these tasks — it says nothing about whether the work is automated, whether anyone uses AI for it today, or whether jobs are lost. The gradient is scored on the international ISCO-08 system; the rest of Singulariki is U.S. O*NET/SOC, bridged below by an approximate, many-to-many crosswalk.

How its tasks split across the gradient

Each of the 7 scored tasks for this occupation, sorted into the six exposure bands — cool (human ground) to hot (almost fully assistable).

The most-exposed task

“Prescribing corrective eyeglasses, contact lenses and other vision aids, and checking optical devices for performance, safety, comfort and lifestyle;”

Scores 0.36 on the 2025 scale. The task of "Prescribing corrective eyeglasses, contact lenses and other vision aids, and checking optical devices for performance, safety, comfort, and lifestyle" involves both technical assessments using optometric equipment and personalized interactions with patients. This task is comparable to "Selecting visual aids and special glasses, as well as mounting eyeglass lenses into hearing glasses," which received an adjusted score of 0.2325. Like that task, it requires human judgment, visual inspection skills, and an understanding of individual needs that Generative AI cannot fully replicate. While AI can support by providing data analytics or suggesting potential prescriptions based on initial measurements, the hands-on element of fitting lenses and checking for comfort and safety demands human intervention. Additionally, tasks such as evaluating materials and prosthetics demonstrate similar hands-on requirements and have received moderately low automation scores up to around 0.325. Given that this task occurs in a technologically advanced environment like Poland, where AI can enhance but not replace skilled labor, the adjusted score assignments reflect the considerable human involvement required alongside AI's supportive role. Therefore, a score of 0.37 accounts for both GenAI's assistive potential in data processing and the critical need for human expertise in patient interactions and manual precision.

Moving fastest, 2023 → 2025

“Prescribing corrective eyeglasses, contact lenses and other vision aids, and checking optical devices for performance, safety, comfort and lifestyle;”

Model capability on this task changed by +0.26 in two years — the gradient is not static, it is filling in.

U.S. occupations this maps to

The American O*NET/SOC roles that crosswalk to ISCO-08 2267, biggest by employment first, via the published (approximate, many-to-many) IBS O*NET-SOC ↔ ISCO-08 correspondence. These are the closest U.S. matches — not an asserted one-to-one identity.

• Optometrists

In context

Part of the 2 - Professionals major group. Return to the full gradient to see how the whole group sits.

Optometrists and Ophthalmic Opticians sit at the 43rd percentile of the global GenAI exposure gradient

• Across 427 international occupations scored by the ILO, Optometrists and Ophthalmic Opticians rank in the 43rd percentile for GenAI task exposure — overlap with what generative AI can attempt, not a projection of displacement. (ILO / Gmyrek et al. (2025) GenAI exposure gradient)
• About 0% of this occupation's tasks fall into an exposed gradient band. (ILO / Gmyrek et al. (2025))
• Mean task exposure rose by 0.07 between the 2023 and 2025 model-capability snapshots. (ILO / Gmyrek et al. (2025), 2023→2025)
• Its most-exposed task: "Prescribing corrective eyeglasses, contact lenses and other vision aids, and checking optical devices for performance, safety, comfort and lifestyle;". (ILO / Gmyrek et al. (2025))

Source: Singulariki — "Optometrists and Ophthalmic Opticians". https://singulariki.com/gradient/2267-optometrists-and-ophthalmic-opticians.html
Note: AI task overlap measures what today's AI can attempt, not automation, job loss, or a forecast.