SOC 29-1241

Ophthalmologists AI displacement risk

Ophthalmologists combine clinic diagnosis with surgery: cataract, glaucoma, and retinal procedures. AI screening of retinal photos and OCT scans is genuinely strong and already deployed in diabetic retinopathy detection, which extends screening reach; the surgical and interventional half of the specialty remains entirely hands-on.

Exposure36

Share and intensity of work current AI systems can materially affect.

Automation14%

Likely potential for exposed tasks to move to software after workflow integration.

Risk bandLow

Image AI handles population screening, routing more patients to treatment rather than replacing treatment. Surgical skill, postoperative management, and judgment on when to operate anchor the role, and screening expansion grows the procedure pipeline.

Distribution

Where Ophthalmologists sits across 620 tracked roles

Ophthalmologists · 18050100

Displacement pressure 18 — higher than 20% of the 620 occupations tracked on displacement.ai.

Score version

This page uses Seed model v0.4 (seed-v0.4-2026-05), last reviewed 2026-08-15. Directional occupation-level planning model using hand-reviewed public research, task exposure estimates, wage context, and transition-pathway assumptions.

18 O*NET task statements matched to SOC 29-1241. The displayed task profile combines these official task statements with the current public score model.

Median wage context: $300,080 (May 2025, US national). The latest BLS row matched SOC 29-1241.

Scores are planning signals, not forecasts. Local hiring demand, employer-specific workflows, licensing, and credentials must be validated before making career decisions.

2030 economic stress test

How Anthropic's scenarios classify Ophthalmologists

SOC 29-1241 places this role in the paper's cognitive occupation group. These group-level outcomes do not change the 18/100 role score and are not an occupation forecast.

Modest change

+0.4% group wage

-0.5% cognitive employment since mid-2026; 2.9% cognitive unemployment.

Economy-wide: +1.6% GDP and 3.9% unemployment.

Substantial change

-0.3% group wage

-3.9% cognitive employment since mid-2026; 4.5% cognitive unemployment.

Economy-wide: +8.3% GDP and 4.6% unemployment.

Extreme change

-11.5% group wage

-21.5% cognitive employment since mid-2026; 17.9% cognitive unemployment.

Economy-wide: +32.4% GDP and 11.9% unemployment.

Compare the assumptions and limitations across all three scenarios. Source: The Anthropic Institute Working Paper No. 2026-02.

Official task evidence

O*NET task matches for Ophthalmologists

The current evidence import matched 18 task statements from Task Statements 31.0 (August 2026). These rows are used as a grounding layer for judging which parts of the occupation are repeatable, language-heavy, analytical, social, physical, or compliance-sensitive.

Dataset31.0 (August 2026)
Matched tasks18
SOC29-1241
  • Core task / ID 17175

    Perform comprehensive examinations of the visual system to determine the nature or extent of ocular disorders.

  • Core task / ID 17176

    Diagnose or treat injuries, disorders, or diseases of the eye and eye structures including the cornea, sclera, conjunctiva, or eyelids.

  • Core task / ID 17166

    Provide or direct the provision of postoperative care.

  • Core task / ID 17162

    Develop or implement plans and procedures for ophthalmologic services.

  • Core task / ID 17169

    Prescribe or administer topical or systemic medications to treat ophthalmic conditions and to manage pain.

  • Core task / ID 17171

    Develop treatment plans based on patients' histories and goals, the nature and severity of disorders, and treatment risks and benefits.

Source: O*NET Resource Center, Task Statements. Raw import target: data/raw/onet/task-statements-31-0.txt.

Task profile

Where AI changes the work

physical

Perform comprehensive examinations of the visual system

Exposure 34, automation 15%, augmentation 54%.

O*NET evidence: Perform comprehensive examinations of the visual system to determine the nature or exte... (ID 17175)

physical

Perform ophthalmic surgeries

Exposure 16, automation 5%, augmentation 32%.

O*NET evidence: Perform ophthalmic surgeries such as cataract, glaucoma, refractive, corneal, vitro-ret... (ID 17173)

technical

Perform, order, and interpret diagnostic tests

Exposure 46, automation 25%, augmentation 60%.

O*NET evidence: Perform, order, or interpret the results of diagnostic or clinical tests. (ID 17170)

analytical

Develop treatment plans weighing risks and benefits

Exposure 32, automation 13%, augmentation 56%.

O*NET evidence: Develop treatment plans based on patients' histories and goals, the nature and severity... (ID 17171)

TaskExposureAutomationAugmentation
Perform comprehensive examinations of the visual system3415%54%
Perform ophthalmic surgeries165%32%
Perform, order, and interpret diagnostic tests4625%60%
Develop treatment plans weighing risks and benefits3213%56%

Transition pathways

Adjacent moves that preserve existing skills

credentialed transition

Fellowship Subspecialist

Training horizon: 12-24 months. Skill overlap 66. Wage preservation signal 120.

  • Complete a retina or cornea fellowship
  • Build referral networks
  • Publish surgical outcomes
Low
role redesign

Ophthalmic Service Line Director

Training horizon: 6-12 months. Skill overlap 64. Wage preservation signal 114.

  • Grow surgical volume
  • Deploy AI screening programs
  • Manage clinic operations
Low

Comparison guides

Compare the next move before you commit

What the AI risk score means for Ophthalmologists

The displacement pressure score for Ophthalmologists is 18. That score blends task exposure, automation pressure, augmentation potential, wage vulnerability, transition feasibility, and source confidence. It is designed to help workers and workforce teams decide where to act first, not to claim a specific date when a job will disappear.

For this role, the clearest risk pattern is visible at the task level. Perform, order, and interpret diagnostic tests carries 25% automation pressure, while Perform, order, and interpret diagnostic tests carries 60% augmentation potential. That means the best response is usually a targeted redesign of work: move away from repeatable production tasks and toward judgment, exception handling, coordination, stakeholder context, and accountable use of AI tools.

Labor-market context and wage risk

Median wage: $300,080 (May 2025, US national). Employment context: Surgical eye specialty with strong image-AI screening. Typical education: Doctoral degree plus ophthalmology residency and board certification.

Wage vulnerability is 20, while transition feasibility is 62. A high wage-vulnerability score means workers should pay close attention to salary preservation before making a move. A high transition-feasibility score means there are adjacent paths that can reuse existing skills without requiring a complete career reset.

  • Low displacement pressure
  • AI screening expands detection
  • Surgery volume stays human

Upskilling priorities

Skills that make this role more resilient

The safest upskilling plan starts with skills already close to the work. For Ophthalmologists, the strongest near-term skill priorities are listed below. These are useful whether the goal is to stay in the role, move to a redesigned version of the role, or transition into an adjacent occupation.

Priority 1

Ocular diagnosis

Build proof of this skill through a work sample, checklist, dashboard, case note, workflow map, or portfolio artifact tied to the transition paths on this page.

Priority 2

Surgical technique

Build proof of this skill through a work sample, checklist, dashboard, case note, workflow map, or portfolio artifact tied to the transition paths on this page.

Priority 3

OCT imaging review

Build proof of this skill through a work sample, checklist, dashboard, case note, workflow map, or portfolio artifact tied to the transition paths on this page.

Priority 4

Postoperative patient care

Build proof of this skill through a work sample, checklist, dashboard, case note, workflow map, or portfolio artifact tied to the transition paths on this page.

90-day transition plan

The most practical next step is not to wait for a layoff or a full role redesign. Use the next 90 days to create evidence that you can operate in a safer, more AI-augmented version of the work.

  1. In the first 30 days, document the repetitive tasks in your current work and identify where AI can reduce drafting, lookup, classification, or reporting time.
  2. By 60 days, complete one small project connected to Fellowship Subspecialist, such as complete a retina or cornea fellowship.
  3. By 90 days, compare internal openings and external postings for Fellowship Subspecialist or Ophthalmic Service Line Director and update your resume around measurable workflow outcomes.

FAQ

Questions about AI and Ophthalmologists

Will AI replace Ophthalmologists?

Ophthalmologists combine clinic diagnosis with surgery: cataract, glaucoma, and retinal procedures. AI screening of retinal photos and OCT scans is genuinely strong and already deployed in diabetic retinopathy detection, which extends screening reach; the surgical and interventional half of the specialty remains entirely hands-on. The better planning signal is not full replacement, but which tasks become automated, which tasks become AI-assisted, and which responsibilities still need human judgment.

Which parts of Ophthalmologists work are most exposed to AI?

Perform, order, and interpret diagnostic tests and Perform comprehensive examinations of the visual system show the strongest automation pressure in this model. Perform, order, and interpret diagnostic tests and Develop treatment plans weighing risks and benefits are better treated as AI-augmented work.

What should Ophthalmologists learn next?

Start with Ocular diagnosis, Surgical technique, OCT imaging review. The most practical adjacent paths in this model are Fellowship Subspecialist and Ophthalmic Service Line Director.

How should this score be used?

Use it as a planning signal, not a prediction. Confirm local hiring demand, wages, licensing, credentials, and employer adoption before making a career move.

Sources

Evidence trail