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 expected to remain steady over time, with AI supporting rather than replacing the core work.
AI Resilience Report for
They check people's eyes to find vision problems and provide glasses or contact lenses to help them see better.
This role is stable
Optometry is considered a stable career because, even though AI is helping with tasks like data analysis and quick screenings, human skills are still crucial. Optometrists need to use their personal judgment, comfort patients, and make decisions that computers can’t handle on their own.
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 stable
Optometry is considered a stable career because, even though AI is helping with tasks like data analysis and quick screenings, human skills are still crucial. Optometrists need to use their personal judgment, comfort patients, and make decisions that computers can’t handle on their own.
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
Medium 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
Optometrists
Updated Quarterly • Last Update: 2/17/2026

What's changing and what's not
Today, most optometry tasks still need a human in charge, though AI tools are beginning to help. For example, researchers have built smartphone “autorefractors” that can measure your prescription quickly [1]. These devices give similar results to a human’s check but are mainly used in studies or areas without eye care, not yet in every clinic.
AI is also very good at looking at eye images: one recent system (AEYE-DS) was FDA-approved to flag diabetic eye disease from a photo in a minute [2]. This shows AI can screen for problems like retinopathy or glaucoma fast, often without a doctor in the loop. In fact, many scientists have made AI models to detect eye disorders from images [3].
However, these AI programs usually augment doctors rather than replace them. For example, a study found AI algorithms that predict contact lens fit from eye data – but these are still experimental [1]. Training and vision therapy remain hands-on.
As one optometrist put it, AI can fill dozens of form dropdowns or analyze scans quickly, but it can’t adjust a frame on your face or comfort someone worried about their vision [3] [2]. In short, computers can help spot problems and handle data faster, but people still control treatments. Research reviews note that most new AI tools are still in labs or pilot tests [1] [3], so everyday optometrists mostly use their own training and staff skills right now.

AI in the real world
Whether clinics start using these tools quickly depends on cost, rules, and trust. On the plus side, more people need eye care and AI could help reach them [1]. For routine screenings, even pharmacies and apps are starting to use AI eye checks [3].
This could make optometry more efficient. And some doctors are already using simple AI helpers behind the scenes (for example, auto-filling data in electronic charts) [3].
On the other hand, buying new AI machines is expensive and requires training. Many practices say their patient data isn’t even in good shape for AI yet [3]. Legal rules matter too: optometrists often need to review any AI finding to follow the law.
Patients also value a person’s judgement and comfort; they may not trust a computer alone with serious eye issues. Finally, developers must prove AI tools are reliable and get approvals, which takes time. In short, technology is promising, but most offices will move slowly step-by-step.
Humans still excel at talking with patients, fitting glasses, and making judgement calls – and those skills won’t go away [2] [3]. The hope is AI will handle the heavy data work so optometrists can spend even more time caring for people.

Help us improve this report.
Tell us if this analysis feels accurate or we missed something.
Share your feedback
Navigate your career with COACH, your free AI Career Coach. Research-backed, designed with career experts.
Median Wage
$134,830
Jobs (2024)
47,800
Growth (2024-34)
+8.0%
Annual Openings
2,400
Education
Doctoral or professional degree
Experience
None
Source: Bureau of Labor Statistics, Employment Projections 2024-2034
AI-generated estimates of task resilience over the next 3 years
Consult with and refer patients to ophthalmologist or other health care practitioner if additional medical treatment is determined necessary.
Provide patients undergoing eye surgeries, such as cataract and laser vision correction, with pre- and post-operative care.
Educate and counsel patients on contact lens care, visual hygiene, lighting arrangements and safety factors.
Remove foreign bodies from the eye.
Prescribe therapeutic procedures to correct or conserve vision.
Prescribe medications to treat eye diseases if state laws permit.
Provide vision therapy and low vision rehabilitation.
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.

© 2026 CareerVillage.org. All rights reserved.
The AI Resilience Report is a project from CareerVillage.org®, a registered 501(c)(3) nonprofit.
Built with ❤️ by Sandbox Web
The AI Resilience Report is governed by CareerVillage.org’s Privacy Policy and Terms of Service. This site is not affiliated with Anthropic, Microsoft, or any other data provider and doesn't necessarily represent their viewpoints. This site is being actively updated, and may sometimes contain errors or require improvement in wording or data. To report an error or request a change, please contact air@careervillage.org.