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 / 623
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?
Data engineer
31%
#36 / 623
View rankingData 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 pipelines, models and orchestration.EstimateNo public source provides a precise figure. This is our estimate. | 24% | 50% | +12 |
Write SQL, Spark and data tests.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 45% | +8.1 |
Incidents, quality and lineage in production.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Talk to analysts and negotiate data contracts.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 18% | +2.9 |
Cloud cost, permissions and PII.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 15% | +2.1 |
Decide architecture and technical debt.EstimateNo public source provides a precise figure. This is our estimate. | 12% | 20% | +2.4 |
| Total | 100% | 31% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- Design pipelines, models and orchestration
- Write SQL, Spark and data tests
- Cloud cost, permissions and PII
- Decide architecture and technical debt
- ingeniero de datos
- data engineer
- etl
Sources for this job· O*NET 15-1243.00· ESCO/ISCO 2511