Optometrists

What AI will never replace

Physically performing slit-lamp biomicroscopy, manually dilating pupils, and using tactile applanation tonometry to measure intraocular pressure require a licensed clinician's hands and trained eyes in the exam room. Explaining to a diabetic patient that their retinal hemorrhages mean their disease is progressing—connecting eye findings to systemic health in a way that motivates real behavior change—is a clinical conversation that carries weight only from a trusted human professional.

AI exposure: 4/10

Optometry is a hybrid of physical clinical procedures and high-level data analysis. AI is highly effective at analyzing retinal scans and diagnostic data to identify diseases, which will significantly augment the diagnostic process; however, the core role requires physical presence for eye exams, minor surgical procedures, and the fitting of corrective lenses, which provides a strong buffer against full automation.

AI advantage: 5/10

Optometrists benefit from AI primarily through advanced diagnostic imaging and screening tools that can detect ocular diseases like glaucoma or diabetic retinopathy with higher precision. While AI significantly enhances the 'desk' and diagnostic portions of the role, the core work remains a mix of physical examinations, minor surgical procedures, and patient counseling that requires a human touch and professional licensure.

Job growth outlook: 6/10

AI-driven diagnostic tools will significantly enhance the speed and accuracy of eye exams, making high-level ocular screening more accessible and potentially lowering costs, which unlocks latent demand. Furthermore, AI's ability to detect systemic diseases like diabetes and hypertension through retinal imaging creates a new role for optometrists as primary 'gatekeepers' of general health, expanding their clinical relevance and patient volume.

Career details

• Typical education: Doctoral or professional degree
• Median annual pay: $134,830
• 10-year outlook: Much faster than average