Headline risk
1%
Very Low RiskOphthalmic medical technicians
United States AI Work Index tracks this occupation on the shared structural baseline and then layers on local demand resilience, wages, and confidence.
Why This Score
Share of job tasks that overlap with current AI capabilities
Median annual wage
Projected employment change over 10 years
Typical preparation needed for this occupation
Occupation profile
Assist ophthalmologists by performing ophthalmic clinical functions. May administer eye exams, administer eye medications, and instruct the patient in care and use of corrective lenses.
Task evidence
100% weighted task match · 5% effective coverage
Scores combine AI task overlap, human advantages, and local demand. How it works
United States Now
Median Wage
USD 44,080
Employment 2024
78.8K
Projected Change (2024–34)
19.8%
Openings (2024–34)
12.5K
Wage distribution
Demand outlook
Projections published, but no prose outlook available.
Role Profile
Tasks
- 1. Take and document patients' medical histories. AI use: 72%
- 2. Conduct tonometry or tonography tests to measure intraocular pressure. AI use: 0%
- 3. Operate ophthalmic equipment, such as autorefractors, phoropters, tomographs, or retinoscopes. AI use: 0%
- 4. Measure visual acuity, including near, distance, pinhole, or dynamic visual acuity, using appropriate tests. AI use: 0%
- 5. Take anatomical or functional ocular measurements of the eye or surrounding tissue, such as axial length measurements. AI use: 0%
- 6. Measure and record lens power, using lensometers. AI use: 0%
Technologies
Requirements
Work context
Worker profile
Median age 33.0 · 68K employed
Under 25: 40% · 25–54: 41% · 55+: 19%
Related
No direct US role match is available yet for this occupation.
Source coverage
11/11 source families · O*NET 30.2 / OEWS 2024 / ORS 2025 / OOH 2025-08-28 / Projections 2024-34 / CPS 2025 / Anthropic task penetration
Mapping quality
title_match · employment series present
Narrative & sources
Published limitations
This page shows the local country layer, not realised individual job outcomes. The global structural baseline is shared across countries; only the local demand and wage layer changes here.
Built from O*NET occupation descriptions, task statements, technology skills, work context, Job Zones, Anthropic task penetration, BLS OEWS wages, BLS projection tables, BLS ORS requirements, BLS OOH narrative content, BLS skills data, and BLS CPS occupation age tables.