Mostly Resilient

Last Update: 8/30/2026

AI Resilience Score for Optometrists:

59.1%

Median Score

Meaningful human contribution

Med

Long-term employer demand

Med

Sustained economic opportunity

High

Our confidence in this score:
Medium

Contributing sources

Methodology and Scoring Rationale

To score how resilient optometry is to AI, we ask one question in three parts:

First, how much of the job still needs a human, read from five AI-exposure sources: our own AI Resilience Model, Anthropic's Observed Exposure, Microsoft's AI Applicability, Will Robots Take My Job, and OpenAI Signals. We call this dimension Meaningful Human Contribution (MHC) and weight it at 40%.

Next, whether employers will keep hiring for this job over the long term. This dimension, which we call Long-term Employer Demand (LTE), is calculated from BLS data and weighted at 30%.

Last, whether pay and mobility will hold up. We use wage bill and adaptive capacity data from independent researchers (Althoff & Reichardt, 2026; Manning & Aguirre, 2026). We call this dimension Sustained Economic Opportunity (SEO) and weight it at 30%.

For optometrists, six of eight sources had data (Anthropic and OpenAI Signals were absent). Exposure sources mostly agreed: Microsoft saw high human resilience while AI Resilience Model and Will Robots Take My Job landed at medium, holding confidence to medium. Strong pay signals lifted the score, landing optometrists at "Mostly Resilient."

AI Resilience Report forOptometrists

$136,570 median salary2,000 annual openingsSOC Code: 29-1041.00

Optometrists are somewhat more resilient to AI impacts than most occupations, according to our analysis of 6 sources.

Optometry is labeled "Mostly Resilient" because while AI is taking over some specific tasks (like screening for diabetic retinopathy without a doctor reviewing the images), the heart of the job still requires a real human. Things like building trust with patients, fitting contact lenses, making complex judgment calls, and connecting people to the right specialists are skills that AI simply cannot replicate.

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This role is mostly resilient

Optometry is labeled "Mostly Resilient" because while AI is taking over some specific tasks (like screening for diabetic retinopathy without a doctor reviewing the images), the heart of the job still requires a real human. Things like building trust with patients, fitting contact lenses, making complex judgment calls, and connecting people to the right specialists are skills that AI simply cannot replicate.

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Analysis of Current AI Resilience

Optometrists

Updated Quarterly

Analysis
Suggested Actions
State of Automation

How is AI changing Optometrists jobs?

Right now, AI in optometry is mostly acting as a helpful assistant rather than a replacement. On the diagnostic side, the FDA has cleared autonomous AI systems that can screen for diabetic retinopathy without an eye doctor interpreting the images, and the technology is now commercially available with a tabletop imaging device, with screenings also available using a portable handheld device, and screening for DR with AI is reimbursable in the US under CPT code 92229, according to Optometry Times [1]. The American Optometric Association [2] says AI will become an augmentative assistant on both the administrative and clinical sides of practice, helping diagnose patients and streamlining operations, from billing codes and scheduling to suggesting diagnoses inside EHRs.

Documentation is the fastest-growing use — a 2026 Nature Eye review [3] notes that overall physician usage of AI nearly doubled from 2023 to 2024, from 38% to 66%, with the most prevalent use in documentation via ambient AI scribes.

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AI Adoption

How fast is AI adoption growing for Optometrists?

Adoption is accelerating because eye care faces real staffing pressure. Review of Ophthalmology [4] reports that AI-based screening and remote monitoring could offset some workforce shortages, but require infrastructure, training and oversight. Reimbursement helps too: Chief Healthcare Executive [5] explains that autonomous AI can bring "specialty-level diagnostics" to primary care settings and even retail clinics, potentially increasing access and lowering cost.

Still, thoughtful rollout matters. At AOA 2026 [1], Dr. Jessilin Quint advised colleagues that "AI will not replace doctors, but doctors using AI will replace doctors not using AI" — a reminder that human judgment, patient counseling, and hands-on care (fitting contacts, building trust, connecting patients to specialists) remain uniquely yours. The takeaway for students eyeing this career: AI is changing the tools, not erasing the profession.

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Will AI replace Optometrists?

Will AI replace Optometrists?

No. We don't think AI will replace Optometrists, though we do expect the job to change.

Our 59.1% AI Resilience Score puts this career in "Mostly Resilient" territory, and the evidence backs that up. AI is already handling real diagnostic work: the FDA has cleared autonomous systems that screen for diabetic retinopathy without a doctor interpreting the images, and those screenings are now reimbursable under a dedicated billing code [1]. Documentation is shifting fast too, with physician AI usage nearly doubling from 38% to 66% between 2023 and 2024 [3]. These are genuine changes, not distant possibilities.

But the parts of optometry that matter most to patients still need a human in the room. Fitting contact lenses, counseling someone about vision loss, building the kind of trust that gets people to actually follow through on treatment, those things do not reduce to an algorithm. The American Optometric Association expects AI to become an augmentative assistant on both the clinical and administrative sides, not a replacement [2]. AI-based screening may also help offset workforce shortages in underserved areas, though that requires real infrastructure and training [4].

For students considering this path: the tools are changing, but the profession is not disappearing. Learning to work alongside AI is the move.

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Latest AI news for Optometrists

These articles highlight the transformative role of AI in optometry, illustrating how technology can enhance patient care without replacing clinicians. For instance, Clare O'Donnell emphasizes that AI optimizes capacity, allowing optometrists to focus more on complex cases. Additionally, the launch of AI-powered assistants like OptoAI showcases practical tools that can streamline practice operations. As students prepare for their careers, understanding these advancements fosters AI resilience, positioning them to leverage technology effectively in their future practices.

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.

Employment & Wage Data

Median Wage

$136,570

Jobs (2025)

45,100

Growth (2025-35)

+9.5%

Annual Openings

2,000

Education

Doctoral or professional degree

Experience

None

Source: Bureau of Labor Statistics, Employment Projections 2025-2035

Task-Level AI Resilience Scores

AI-generated estimates of task resilience over the next 3 years

1

96% ResilienceCore Task

Remove foreign bodies from the eye.

2

93% ResilienceCore Task

Provide vision therapy and low-vision rehabilitation.

3

92% ResilienceCore Task

Prescribe medications to treat eye diseases if state laws permit.

4

90% ResilienceCore Task

Provide patients undergoing eye surgeries, such as cataract and laser vision correction, with pre- and post-operative care.

5

88% ResilienceCore Task

Prescribe, supply, fit and adjust eyeglasses, contact lenses, and other vision aids.

6

85% ResilienceCore Task

Prescribe therapeutic procedures to correct or conserve vision.

7

82% ResilienceCore Task

Examine eyes, using observation, instruments, and pharmaceutical agents, to determine visual acuity and perception, focus, and coordination and to diagnose diseases and other abnormalities, such as gl...

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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