Automation index
How much of a Optician’s job can AI already do?
An auto-refraction and a prescription pad come earlier. Looking at the eye, selling without pushing, and catching glaucoma do not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Optician
21%
AI can already do 21% of this job.
#431 / 633
View rankingOptician
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 |
|---|---|---|---|
File, history and prescription.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 40% | +7.2 |
Lens orders, stock and appointments.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 32% | +5.1 |
Eye exam, retinal image and fitting.EstimateNo public source provides a precise figure. This is our estimate. | 20% | 12% | +2.4 |
Frame fit and workshop.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 10% | +1.6 |
Advise without pushing and explain pathology.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 14% | +2.2 |
Refer to ophthalmology and follow-up.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 16% | +2.2 |
| Total | 100% | 21% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- File, history and prescription
- Lens orders, stock and appointments
- Eye exam, retinal image and fitting
- Frame fit and workshop
- Refer to ophthalmology and follow-up
- optico
- optometrista
- optician
Sources for this job· O*NET 29-2081.00· ESCO/ISCO 3254
IS WORK OVER?
Prompt engineer
34%
#21 / 633
View rankingPrompt engineer
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 |
|---|---|---|---|
Design prompts, tools and chains.EstimateNo public source provides a precise figure. This is our estimate. | 24% | 58% | +13.9 |
Evals, datasets and regressions.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 52% | +9.4 |
Integrate with product and safety limits.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Talk to the business about a good output.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 18% | +2.9 |
Watch hallucinations, bias and cost.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 20% | +2.8 |
Decide what the model gets, and what it does not.EstimateNo public source provides a precise figure. This is our estimate. | 12% | 16% | +1.9 |
| Total | 100% | 34% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- Design prompts, tools and chains
- Evals, datasets and regressions
- Integrate with product and safety limits
- Talk to the business about a good output
- Watch hallucinations, bias and cost
- prompt engineer
- ingeniero de prompts
- llm engineer
Sources for this job· O*NET 15-1252.00· ESCO/ISCO 2512