Mostly Resilient
Last Update: 6/19/2026
AI Resilience Score for Ophthalmologist (Non-Ped):
61.5%
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.
Med
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.
Limited data sources are available, or existing sources show notable disagreement on the outlook for this occupation.
Contributing sources
AI Resilience Report forOphthalmologists, Except Pediatric
>$239,200 median salary•300 annual openings•SOC Code: 29-1241.00
Ophthalmologists, Except Pediatric are somewhat more resilient to AI impacts than most occupations, according to our analysis of 5 sources.
Ophthalmology is labeled "Mostly Resilient" because AI is stepping in as a helpful tool rather than a replacement, handling image analysis and early screening while human doctors still make the final calls, perform surgeries, and care for patients directly. The parts of the job that matter most, including complex surgery, treatment planning, and building trust with patients, remain firmly in human hands because of safety requirements, regulations, and the simple fact that patients want a real doctor looking out for them.
Learn more about how you can thrive in this position
View analysis
Chat with Coach
Latest news
More career infoAnalysisChatNewsMoreLearn more about how you can thrive in this position
View analysisChat with CoachLatest newsMore career infoAnalysisChatNewsMoreThis role is mostly resilient
Ophthalmology is labeled "Mostly Resilient" because AI is stepping in as a helpful tool rather than a replacement, handling image analysis and early screening while human doctors still make the final calls, perform surgeries, and care for patients directly. The parts of the job that matter most, including complex surgery, treatment planning, and building trust with patients, remain firmly in human hands because of safety requirements, regulations, and the simple fact that patients want a real doctor looking out for them.
Read full analysisAnalysis of Current AI Resilience
Ophthalmologist (Non-Ped)
Updated Quarterly
How is AI changing Ophthalmologist (Non-Ped) jobs?
If you're thinking about becoming an eye doctor, here's some good news: AI is mostly helping ophthalmologists right now, not replacing them. Ophthalmology was actually one of the first medical fields where AI got serious traction because so much of the work involves analyzing images of the eye. IDx-DR (now LumineticsCore) became the first autonomous AI medical device approved by the U.S. Food and Drug Administration in 2018, demonstrating high diagnostic performance in detecting referable diabetic retinopathy, and the American Academy of Ophthalmology now tracks three FDA-approved AI systems for diabetic retinopathy screening [1].
A 2026 review notes that ophthalmology remains one of the earliest specialties to achieve clinically autonomous AI deployment, and AI is also moving into glaucoma detection, refractive surgery planning, and surgical training. On the surgery side, robotics is just beginning: in April 2026, ForSight Robotics completed the world's first fully robot-assisted human cataract surgery from start to finish [2], still guided by a surgeon. So the pattern is clear — AI reads images and assists in the OR, while humans still make decisions, talk with patients, and operate.
Sources
How fast is AI adoption growing for Ophthalmologist (Non-Ped)?
Adoption is happening, but slower than the headlines suggest. A 2025 international survey of 622 ophthalmologists found that while 69.5% anticipated a moderate-to-very potential for AI to improve clinical outcomes, only 7.2% reported regular use, with key barriers including lack of training, implementation costs, and reliability concerns, plus ethical worries about algorithmic bias and liability. Money is flowing in anyway — the global AI-in-ophthalmology market is projected to grow from about $314 million in 2025 to over $7 billion by 2035, a 36.8% annual growth rate [3].
A big driver is a looming labor gap: a study in Ophthalmology projects a 30-percent workforce inadequacy between supply and demand for U.S. ophthalmologists from 2020 to 2035, and as one Bascom Palmer professor put it, "AI-based screening and remote monitoring are making it possible to manage certain eye conditions more efficiently" and could offset some workforce shortages. Surgery, post-op care, and treatment planning — the highest-paid, most hands-on parts of the job — remain firmly in human hands because of safety, regulation, and patient trust. The bottom line: AI is becoming a powerful tool that helps ophthalmologists see more patients and catch disease earlier, but the field still very much needs skilled, caring humans.
Sources
Will AI replace Ophthalmologist (Non-Ped)?
No. We don't think AI will replace Ophthalmologists, Except Pediatric, though we do expect the job to change.
Ophthalmology was one of the first medical fields where AI gained real traction, largely because so much of the work involves reading eye images. The American Academy of Ophthalmology now tracks multiple FDA-approved AI systems for diabetic retinopathy screening [1], and AI is also moving into glaucoma detection and surgical training. In April 2026, the first fully robot-assisted cataract surgery was completed, though still guided by a surgeon [2]. So AI is genuinely changing how this work gets done.
What stays human is substantial. Surgery, treatment planning, patient conversations, and complex clinical judgment all require skills that AI cannot replicate safely or reliably right now. The global AI-in-ophthalmology market is growing fast [3], but a projected workforce shortage through 2035 means demand for skilled eye doctors is real, even if the job market picture is mixed. That tension is reflected in our 61.5% AI Resilience Score: solid, but not untouchable.
The honest takeaway is that AI will handle more screening and routine analysis over time. Ophthalmologists who embrace these tools will be able to see more patients and catch disease earlier, which is a good thing for everyone.
Sources
Help us improve this report.
Tell us if this analysis feels accurate or we missed something.
Share your feedback
Latest AI news for Ophthalmologist (Non-Ped)
These articles highlight the growing role of AI in ophthalmology, particularly for non-pediatric specialists. For instance, using AI to analyze fundus images can enhance diagnostic accuracy for adult eye conditions. Additionally, the development of AI tools to assess amblyopia lays the groundwork for understanding similar conditions in adults. As AI continues to advance, it offers ophthalmologists an opportunity to improve patient care and streamline workflows, ensuring they remain resilient and relevant in a rapidly evolving field.
ARVO 2026: Using AI to analyze pediatric ultra-wide field fundus images
www.ophthalmologytimes.com • 5/20/2026
Ibrahim Kanani, a recent Duke University computer science graduate, discusses his work at the Duke Eye Center. The research focuses on using...
Predicting onset of myopic refractive error in children using machine learning on routine pediatric eye examinations only
www.nature.com • 8/17/2025
Myopia is increasingly prevalent among children, making routine eye exams crucial. This study develops machine learning (ML) models to...
AI and eye tracking: Technological companions to assess amblyopia in pediatric patients
www.ophthalmologytimes.com • 3/3/2025
Artificial intelligence (AI) tools have a promising future for reliably detecting the presence and severity of amblyopia in pediatric patients.
AI Model Correctly ID’d Pediatric Eye Conditions
www.aao.org • 12/1/2024
AI has the potential to identify pediatric eye diseases using mobile photos, suggest the results of a recent study.
Orbis International, Siloam Vision unite to save sight of premature infants using artificial intelligence
www.ophthalmologytimes.com • 9/25/2023
Orbis International unveiled new strategic partnership with Siloam Vision to use the company's cloud-based telemedicine platform to expand access to eye care.
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.
