AI exposure by occupation, O*NET 29-2057.00

Will AI replace Ophthalmic Medical Technicians?

Ophthalmic Medical Technicians: AI can already handle 2 of 20 tasks; the work mostly needs an efficient-tier model.

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Every task, scored

The 20 tasks O*NET 30.3 lists for Ophthalmic Medical Technicians, from most to least exposed. 2 reach 60 or more, the level at which AI already handles a task.

Task AI exposure Evidence Model tier Importance
Assess refractive conditions of eyes, using retinoscopes. 65 Estimated Standard 4.1
Conduct binocular disparity tests to assess depth perception. 65 Estimated Standard 3.6
Take and document patients' medical histories. 30 Estimated Efficient 5.0
Operate ophthalmic equipment, such as autorefractors, phoropters, tomographs, or retinoscopes. 30 Estimated Efficient 4.9
Conduct tonometry or tonography tests to measure intraocular pressure. 30 Estimated Efficient 4.9
Measure visual acuity, including near, distance, pinhole, or dynamic visual acuity, using appropriate tests. 30 Estimated Efficient 4.9
Take anatomical or functional ocular measurements of the eye or surrounding tissue, such as axial length measurements. 30 Estimated Efficient 4.9
Measure and record lens power, using lensometers. 30 Estimated Efficient 4.9
Administer topical ophthalmic or oral medications. 30 Estimated Efficient 4.8
Conduct visual field tests to measure field of vision. 30 Estimated Efficient 4.7
Assist physicians in performing ophthalmic procedures, including surgery. 30 Estimated Efficient 4.7
Measure corneal curvature with keratometers or ophthalmometers to aid in the diagnosis of conditions, such as astigmatism. 30 Estimated Efficient 4.7
Conduct ocular motility tests to measure function of eye muscles. 30 Estimated Efficient 4.6
Clean or sterilize ophthalmic or surgical instruments. 30 Estimated Efficient 4.6
Instruct patients in the care and use of contact lenses. 30 Estimated Efficient 4.3
Call patients to inquire about their post-operative status or recovery. 30 Estimated Efficient 4.0
Assist patients to insert or remove contact lenses. 30 Estimated Efficient 3.9
Assist patients to select eyewear. 30 Estimated Standard 2.7
Maintain ophthalmic instruments or equipment. 20 Estimated Efficient 4.5
Adjust or make minor repairs to spectacles or eyeglasses. 20 Estimated Efficient 2.7

Observed: scored from AI use recorded in the Anthropic Economic Index (June 2026 release), 0 of 20 tasks. Estimated: scored from the task's O*NET 30.3 work activity, 20 of 20. Importance is O*NET's 1 to 5 rating of how central the task is. Model tier is the lowest tier that can do the task under the published rubric; "No tier" marks hands-on work.

The model tier this role needs

An efficient-tier model or lower covers 88% of the role's importance-weighted task work. 100% of the work is something AI can address at some tier.

Efficient, standard and frontier tiers come from the JobRoute model tier reference. The recommended tier is the lowest one that covers 80% of the work AI can address. How the method works.

Wages, employment and outlook

US employment
71,010
Median annual wage
$45,570
Middle half of earners
$38,170 to $51,390
Projected change, 2024 to 2034
+19.8%

Employment and wages: BLS Occupational Employment and Wage Statistics, May 2025, national. Projection: BLS Employment Projections 2024 to 2034.

Adjacent roles

The occupations that reuse the most of this role's skills, with the usual time to move. These are the first places to look when you plan to redeploy or retrain people in this role.

Skill overlap and transition time from the JobRoute role adjacency graph on O*NET 30.3 skills.

Questions about Ophthalmic Medical Technicians and AI

Will AI replace Ophthalmic Medical Technicians?

AI already handles 2 of the 20 tasks O*NET lists for this occupation, at a task exposure of 60 or more, and the role's importance-weighted exposure is 32 out of 100. JobRoute scores tasks, not whole jobs, so the score shows how much of the work changes rather than whether the job disappears. BLS projects employment to change by +19.8% from 2024 to 2034.

What is the AI exposure of Ophthalmic Medical Technicians?

32 out of 100 on JobRoute's task exposure measure, the importance-weighted average of the role's O*NET task scores. Higher means more of the work is AI-doable today. 0 of the 20 task scores are observed in the Anthropic Economic Index (June 2026 release), and the other 20 are estimated from each task's O*NET work activity.

Which Ophthalmic Medical Technicians tasks can AI already do?

The tasks with the highest exposure are: Assess refractive conditions of eyes, using retinoscopes; Conduct binocular disparity tests to assess depth perception. They are the tasks that reach 60 or more.

What AI model tier does this role need?

An efficient-tier model or lower covers 88% of the role's importance-weighted task work. JobRoute assigns each task the lowest tier that can do it under a published rubric and recommends the lowest tier that covers 80% of the work AI can address.

How many people work as Ophthalmic Medical Technicians, and what do they earn?

71,010 people in the United States, with a median annual wage of $45,570 (BLS Occupational Employment and Wage Statistics, May 2025). BLS Employment Projections expect a change of +19.8% from 2024 to 2034.

How to cite

Data version 2026-11-02, JobRoute method v1.0.0. Download all occupations or this occupation as JSON. Methodology.

JobRoute (2026). AI exposure: Ophthalmic Medical Technicians. Data version 2026-11-02, method v1.0.0. Built on O*NET 30.3, BLS OEWS May 2025 and the Anthropic Economic Index (June 2026). CC BY 4.0. https://www.jobroute.ai/jobs/ophthalmic-medical-technicians

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