Last Update: 3/13/2026
Your role’s AI Resilience Score is
Median Score
Changing Fast
Evolving
Stable
This reflects the reliability of your score based on the number of data sources available for this career and how closely those sources agree on the outlook. A higher confidence means more consistent evidence from labor experts and AI models.
What does this resilience result mean?
These roles are shifting as AI becomes part of everyday workflows. Expect new responsibilities and new opportunities.
AI Resilience Report for
They help eye doctors by conducting tests, taking eye measurements, and preparing patients for eye exams to ensure accurate diagnoses and treatments.
This role is evolving
The career of Ophthalmic Medical Technicians is labeled as "Evolving" because AI technology is beginning to automate many measurement and record-keeping tasks, allowing techs to focus more on patient care. While machines can streamline certain procedures, essential human skills like teaching patients how to use contact lenses and providing comfort remain irreplaceable.
Read full analysisLearn more about how you can thrive in this position
Learn more about how you can thrive in this position
This role is evolving
The career of Ophthalmic Medical Technicians is labeled as "Evolving" because AI technology is beginning to automate many measurement and record-keeping tasks, allowing techs to focus more on patient care. While machines can streamline certain procedures, essential human skills like teaching patients how to use contact lenses and providing comfort remain irreplaceable.
Read full analysisContributing Sources
We aggregate scores from multiple models and supplement with employment projections for a more accurate picture of this occupation’s resilience. Expand to view all sources.
AI Resilience
AI Resilience Model v1.0
AI Task Resilience
CareerVillage's proprietary model that estimates how resilient each occupation's tasks are to AI automation and augmentation
Microsoft's Working with AI
AI Applicability
Measures how applicable AI tools (like Bing Copilot) are to each occupation based on real usage patterns
Will Robots Take My Job
Automation Resilience
Estimates the probability of automation for each occupation based on research from Oxford University and other academic sources
Althoff & Reichardt
Economic Growth
Measured as "Wage bill" which is a long term projection for average wage × employment. It's the total labor income flowing to an occupation
High Demand
We use BLS employment projections to complement the AI-focused assessments from other sources.
Learn about this scoreGrowth Rate (2024-34):
Growth Percentile:
Annual Openings:
Annual Openings Pct:
Analysis of Current AI Resilience
Ophthalmic Med Tech
Updated Quarterly • Last Update: 2/17/2026

What's changing and what's not
In eye clinics today, many measuring tasks are already done by machines. For example, devices can automatically scan an eye’s length or other dimensions, and newer tools even use AI on a smartphone slit-lamp to estimate measurements like anterior chamber depth [1]. Other gadgets combine multiple tests (vision, pressure, etc.) so technicians don’t have to move patients between machines [1].
Some companies have registered VR- and AI-based platforms (like PeriVision’s VisionOne) that let patients take visual tests in a headset and use AI to analyze results [2]. These technologies can speed up exams and cut down on data entry [1] [2]. However, many routine tasks still need humans.
Sterilizing instruments is usually done by autoclave machines, but staff must load, check, and handle tools. Teaching a patient to put in contact lenses or giving eye drops is a very hands-on job. Even simple tests like depth perception (binocular disparity) often use videos or charts under a tech’s watch, not a full AI system.
In short, high-tech tools are making some measurements and record-keeping faster [1] [1], but the caring, hands-on parts of the job stay human-driven.

AI in the real world
Clinics may adopt helpful AI tools fairly quickly because there is a known shortage of professional eye technicians [1]. With fewer than 60,000 trained ophthalmic techs for over 19,000 eye doctors [1], anything that makes work faster can be a big help. For example, automating measurements or notes can let the technician spend more time with patients [1] [2].
On the other hand, new AI and device-based systems can be expensive and slow to install. Medical eye tools must meet strict safety rules (for instance, products like VisionOne go through FDA review [2]), and smaller clinics might hesitate to buy very costly machines. Patients also tend to trust human care, especially older people with vision issues, so many eye-care pros move slowly.
In the end, AI won’t just take jobs but will change them. Technologies that are approved and affordable could let techs offload tedious parts (like data entry) so they focus on people. Experts note that technicians spend a lot of time with patients and that these personal interactions greatly improve care [1].
So while change is coming, many human skills – teaching patients, comfort, careful hands-on work – will remain important even as clinics use more technology [1] [2].

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Median Wage
$44,080
Jobs (2024)
78,800
Growth (2024-34)
+19.8%
Annual Openings
12,500
Education
Postsecondary nondegree award
Experience
None
Source: Bureau of Labor Statistics, Employment Projections 2024-2034
AI-generated estimates of task resilience over the next 3 years
Administer topical ophthalmic or oral medications.
Maintain ophthalmic instruments or equipment.
Assist patients to insert or remove contact lenses.
Conduct binocular disparity tests to assess depth perception.
Assist patients to select eyewear.
Assess refractive conditions of eyes, using retinoscopes.
Assist physicians in performing ophthalmic procedures, including surgery.
Tasks are ranked by their AI resilience, with the most resilient tasks shown first. Core tasks are essential functions of this occupation, while supplemental tasks provide additional context.

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