Automation index
How much of a Ophthalmologist’s job can AI already do?
A retinal photo and a first report come earlier. Operating a lens and not touching the macula do not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Ophthalmologist
22%
AI can already do 22% of this job.
#358 / 633
View rankingOphthalmologist
Where the time goes
Task weights are our estimates based on O*NET frequency data, not time shares published by O*NET.
The time saving for each task is estimated separately.
| Task | Share | AI | Points |
|---|---|---|---|
Read retinal photos, fields and pachymetry.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 48% | +7.7 |
Clinic, slit lamp and fundus.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 12% | +2.2 |
Cataract, retina and eyelid surgery.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 10% | +1.8 |
Explain refraction, risk and aftercare.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Reports, prescriptions and notes for the optician.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
Diary, theatre and not missing a detachment.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 14% | +2.2 |
| Total | 100% | 22% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- Read retinal photos, fields and pachymetry
- Clinic, slit lamp and fundus
- Cataract, retina and eyelid surgery
- Explain refraction, risk and aftercare
- oftalmologo
- ophthalmologist
- oculista
Sources for this job· O*NET 29-1241.00· ESCO/ISCO 2212
IS WORK OVER?
Economist
30%
#49 / 633
View rankingEconomist
Where the time goes
Task weights are our estimates based on O*NET frequency data, not time shares published by O*NET.
The time saving for each task is estimated separately.
| Task | Share | AI | Points |
|---|---|---|---|
Clean data, estimate and produce tables.EstimateNo public source provides a precise figure. This is our estimate. | 22% | 52% | +11.4 |
Draft notes, briefs and a first paper.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 45% | +8.1 |
Choose model, assumptions and robustness.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Present to a client, ministry or board.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 15% | +2.4 |
Debate, peer-review and defend the numbers.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 12% | +1.7 |
Read the political context and data quality.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 18% | +2.5 |
| Total | 100% | 30% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- Clean data, estimate and produce tables
- Draft notes, briefs and a first paper
- Choose model, assumptions and robustness
- Present to a client, ministry or board
- Debate, peer-review and defend the numbers
- economista
- economist
Sources for this job· O*NET 19-3011.00· ESCO/ISCO 2631