Automation index
How much of a Allergist’s job can AI already do?
An IgE panel comes earlier. Doing the challenge and not triggering anaphylaxis do not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Allergist
23%
AI can already do 23% of this job.
#286 / 633
View rankingAllergist
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 IgE, prick tests and the reaction history.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 48% | +7.7 |
Skin tests, challenges and immunotherapy.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
Avoidance, adrenaline and allergic asthma.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
Clinic for children, mites and the one who cannot eat.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 18% | +3.2 |
Letters for school, canteen and the plane.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Anaphylaxis, on-call and owning the vaccine.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 12% | +1.9 |
| Total | 100% | 23% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- allergy tests
- prick test
- allergy vaccines
- read IgE
- treat anaphylaxis
- allergy clinic
- supervised challenge
- adrenaline
Sources for this job· O*NET 29-1229.00· ESCO/ISCO 2212
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