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The AI Resilience Report helps you understand how AI is likely to impact your current or future career. Drawing on data from over 1,500 occupations, it provides a clear snapshot to support informed career decisions.
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Resilient
Last Update: 4/23/2026
Your role’s AI Resilience Score is
68.7%
Median Score
Meaningful human contribution
Measures the parts of the occupation that still require a human touch. This score averages data from up to four AI exposure datasets, focusing on the role’s resilience against automation.
High
Long-term employer demand
Predicts the health of the job market for this role through 2034. Using Bureau of Labor Statistics data, it balances projected annual job openings (60%) with overall employment growth (40%).
Med
Sustained economic opportunity
Measures future earning potential and career flexibility. This score is a blend of total projected labor income (67%) and the role’s inherent ability to adapt to economic and technological shifts (33%).
High
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.
Most data sources align, with only minor variation. This is a well-supported result.
Contributing sources
AI Resilience Report forOptometrists
Optometrists are more resilient to AI impacts than most occupations, according to our analysis of 6 sources.
Optometry is considered "Resilient" because it relies heavily on human skills like judgement, empathy, and hands-on work, which AI can't fully replicate. While AI tools can help with tasks like analyzing eye images and managing data, they mainly assist optometrists rather than replace them.
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Optometry is considered "Resilient" because it relies heavily on human skills like judgement, empathy, and hands-on work, which AI can't fully replicate. While AI tools can help with tasks like analyzing eye images and managing data, they mainly assist optometrists rather than replace them.
Read full analysisAnalysis of Current AI Resilience
Optometrists
Updated Quarterly • Last Update: 2/17/2026
How is AI changing Optometrists jobs?
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.
Sources
How fast is AI adoption growing for Optometrists?
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.
Sources
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More Career Info
Career: Optometrists
They check people's eyes to find vision problems and provide glasses or contact lenses to help them see better.
Parent Careers
Employment & Wage Data
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
Task-Level AI Resilience Scores
AI-generated estimates of task resilience over the next 3 years
1
Provide patients undergoing eye surgeries, such as cataract and laser vision correction, with pre- and post-operative care.
2
Prescribe medications to treat eye diseases if state laws permit.
3
Educate and counsel patients on contact lens care, visual hygiene, lighting arrangements and safety factors.
4
Prescribe therapeutic procedures to correct or conserve vision.
5
Prescribe, supply, fit and adjust eyeglasses, contact lenses and other vision aids.
6
Provide vision therapy and low vision rehabilitation.
7
Remove foreign bodies from the eye.
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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