Will AI Replace Optometrists? How Eye Care Is Evolving

Your eye doctor peers into your retina and sees something no AI can: the full person behind the pupils. While AI has made dramatic inroads in retinal image screening, optometry remains a profession where human judgment, patient relationships, and expanding clinical scope keep practitioners firmly in demand.

The Numbers: Moderate Exposure, Strong Fundamentals

According to the Anthropic Labor Market Report (2026), optometrists have an overall AI exposure of 35%, with a theoretical exposure of 50%. The automation risk stands at 24%, and the role is classified as "augment."

With approximately 47,000 optometrists employed in the United States, a median annual wage of around $132,000, and BLS projecting 9% growth through 2034, the profession has solid fundamentals despite the advancing capability of AI in eye care diagnostics.

Which Optometry Tasks Are Most Affected?

Retinal Image Screening: 72% Automation Rate

This is where AI has made the most dramatic inroads into optometric practice. Deep learning algorithms can screen retinal images for diabetic retinopathy, glaucoma, age-related macular degeneration, and other conditions with accuracy matching or exceeding human specialists. The FDA has approved autonomous AI diagnostic systems like IDx-DR that can screen for diabetic retinopathy without physician oversight.

Prescription Recommendations: 48% Automation Rate

AI-powered autorefractors and wavefront aberrometers can measure refractive error with high precision. Some systems can generate preliminary prescription recommendations that require optometrist confirmation rather than independent determination.

Comprehensive Eye Examination: 10% Automation Rate

The full scope of an optometric examination -- slit lamp biomicroscopy, gonioscopy, fundoscopy, assessment of binocular vision, evaluation of ocular motility, and the integration of findings into a clinical plan -- requires hands-on skill, real-time judgment, and patient interaction that AI cannot replicate.

Why Optometrists Are Not Being Replaced

1. Scope is expanding, not shrinking. Optometrists in many states have gained expanded scope of practice, including the authority to prescribe medications and perform minor procedures. This expansion into medical eye care increases the profession's value.

2. AI screening creates referrals. When AI screening programs identify potential eye disease in pharmacies or primary care offices, patients are referred to optometrists for comprehensive evaluation. AI expands the funnel of patients seeking care.

3. Patient relationship matters. Choosing glasses and contact lenses involves aesthetics, lifestyle, and personal preference. Patients want human guidance for these decisions.

4. Aging population. The growing elderly population increases demand for eye care services. Age-related conditions like cataracts, glaucoma, and macular degeneration require ongoing monitoring and management by human professionals.

Comparing Across Healthcare

Among healthcare professionals we have analyzed, optometrists sit in a moderately protected position. They face more AI exposure than hands-on roles like dental hygienists (10% risk) or surgical technologists (13% risk), but far less than information-processing roles like medical records specialists (62% risk). This middle position reflects the dual nature of optometry: some tasks are information-heavy (imaging, prescriptions) while others are irreducibly physical and relational (examinations, patient counseling).

What Optometrists Should Do Now

1. Integrate AI Screening into Practice

Offer AI-powered retinal screening as a value-added service. It improves diagnostic accuracy and demonstrates a commitment to cutting-edge care.

2. Expand Medical Eye Care

As AI handles routine vision screening, optometrists who provide medical eye care -- managing glaucoma, dry eye disease, diabetic eye disease -- will differentiate themselves.

3. Embrace Digital Health Records

AI-powered EHR systems can streamline documentation, auto-code diagnoses, and improve insurance claim accuracy.

4. Develop Specialty Services

Myopia management, specialty contact lens fitting, vision therapy, and low vision rehabilitation are areas where human expertise is paramount.

The Bottom Line

AI is transforming how optometric screening is done, particularly in retinal imaging. But the comprehensive eye examination, the patient relationship, and the expanding scope of optometric practice ensure that optometrists remain essential. AI makes optometrists more efficient and accurate; it does not make them obsolete.

Explore the full data for Optometrists on AI Changing Work to see detailed automation metrics and career projections.

Sources

• Anthropic. (2026). The Anthropic Labor Market Impact Report.
• U.S. Bureau of Labor Statistics. Optometrists -- Occupational Outlook Handbook.
• U.S. Food & Drug Administration. FDA Permits Marketing of AI-Based Device to Detect Diabetic Retinopathy.
• O*NET OnLine. Optometrists.
• Eloundou, T., et al. (2023). GPTs are GPTs: An Early Look at the Labor Market Impact Potential of Large Language Models.

Update History

• 2026-03-25: Added cross-occupation comparison section with Wave 17 healthcare roles
• 2026-03-21: Added source links and Sources section
• 2026-03-15: Initial publication based on Anthropic Labor Market Report (2026), Eloundou et al. (2023), and BLS Occupational Projections 2024-2034.

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This analysis is based on data from the Anthropic Labor Market Report (2026), Eloundou et al. (2023), and U.S. Bureau of Labor Statistics projections. AI-assisted analysis was used in producing this article.

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