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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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Mostly Resilient
Last Update: 4/23/2026
Your role’s AI Resilience Score is
64.0%
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%).
Low
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.
There are a reasonable number of sources for this result, but there is some disagreement between them.
Contributing sources
AI Resilience Report forOphthalmologists, Except Pediatric
Ophthalmologists, Except Pediatric are somewhat more resilient to AI impacts than most occupations, according to our analysis of 5 sources.
The career of ophthalmologists, except pediatric, is labeled as "Mostly Resilient" because AI tools are currently used to assist rather than replace them. AI helps with tasks like analyzing eye scans, acting as a "second pair of eyes" to identify potential issues, but the critical responsibilities of diagnosing, prescribing treatment, and interacting with patients require human judgment, compassion, and expertise.
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View analysisChat with CoachLatest newsMore career infoAnalysisChatNewsMoreThis role is mostly resilient
The career of ophthalmologists, except pediatric, is labeled as "Mostly Resilient" because AI tools are currently used to assist rather than replace them. AI helps with tasks like analyzing eye scans, acting as a "second pair of eyes" to identify potential issues, but the critical responsibilities of diagnosing, prescribing treatment, and interacting with patients require human judgment, compassion, and expertise.
Read full analysisAnalysis of Current AI Resilience
Ophthalmologist (Non-Ped)
Updated Quarterly • Last Update: 2/17/2026
How is AI changing Ophthalmologist (Non-Ped) jobs?
Today’s AI tools mainly assist ophthalmologists with eye scans and images, not replace them. For example, studies report that AI programs can analyze retina photos or OCT scans to spot signs of disease (like diabetes-related changes or glaucoma) with accuracy close to an expert doctor [1] [1]. In practice, this means AI is used as a “second pair of eyes” – it flags possible problems so the doctor can confirm them.
By contrast, tasks that need personal judgment or patient interaction – such as writing a prescription for eyedrops or pain medicine, fitting glasses or contacts, giving post-op care, or leading a care team – are still done by people. (In fact, one review noted that designing special contact lenses is very complex, and AI models are only just beginning to try to predict lens parameters [2]). AI can help doctors by crunching data or suggesting ideas, but the doctor’s own decision, hands-on exams, and communication are still essential [1] [2].
Sources
How fast is AI adoption growing for Ophthalmologist (Non-Ped)?
Why adopt AI? One reason is need and convenience. In many places, there simply aren’t enough eye doctors, so tools that speed up screening are attractive.
For example, using portable cameras plus AI to screen for diabetic eye disease is becoming popular in rural clinics – studies show these systems give image quality and diagnoses comparable to standard equipment [1]. Such tools can save time and help catch disease earlier. In fact, eye care experts predict that AI devices for early diagnosis will become part of normal practice in the coming years [1].
On the other hand, adoption can be slow because of cost and trust. High-quality AI systems and cameras cost money and require training, so clinics must be sure it’s worth the investment. Also, patients and regulators tend to trust a trained doctor more than a computer.
AI in medicine needs rigorous checks (for example, FDA approvals) to ensure it’s safe and accurate. Finally, many eye-care tasks still need human skills. For instance, fitting advanced contact lenses is very skill-intensive; reviewers note that AI could help new doctors learn this complex work [2], but it doesn’t replace the need for hands-on training.
In summary, AI is already augmenting ophthalmology by helping interpret tests and screen for disease, but it’s not taking over doctors’ core work. The tools are there for screening and analysis, but prescribing treatment, patient care, and teaching remain human jobs. This means AI is more of a helpful assistant – it can make an eye doctor’s job easier by handling routine parts, but the doctor’s expertise, compassion, and experience are still what patients rely on [1] [2].
Sources
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More Career Info
Career: Ophthalmologists, Except Pediatric
They help people see better by examining their eyes, diagnosing problems, and providing treatments like glasses, medication, or surgery.
Parent Careers
Employment & Wage Data
Median Wage
>=$239,200
Jobs (2024)
12,500
Growth (2024-34)
+4.3%
Annual Openings
300
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
Prescribe ophthalmologic treatments or therapies such as chemotherapy, cryotherapy, and low vision therapy.
2
Perform ophthalmic surgeries such as cataract, glaucoma, refractive, corneal, vitro-retinal, eye muscle, and oculoplastic surgeries.
3
Provide or direct the provision of postoperative care.
4
Instruct interns, residents, or others in ophthalmologic procedures and techniques.
5
Perform comprehensive examinations of the visual system to determine the nature or extent of ocular disorders.
6
Provide ophthalmic consultation to other medical professionals.
7
Document or evaluate patients' medical histories.
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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