Automation index
How much of a Gynaecologist’s job can AI already do?
A scan report and a protocol come earlier. Hands, a birth decision and holding the couple do not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Gynaecologist
21%
AI can already do 21% of this job.
#416 / 623
View rankingGynaecologist
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 scans, labs and pregnancy protocols.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
Clinic, examination and gynaecological theatre.EstimateNo public source provides a precise figure. This is our estimate. | 20% | 10% | +2 |
Birth, caesarean and obstetric emergencies.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 12% | +1.9 |
Explain, consent and accompany grief and discharge.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Reports, prescriptions and coordination with the midwife.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
On-call, team and liability for the act.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 14% | +2.2 |
| Total | 100% | 21% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- Read scans, labs and pregnancy protocols
- Birth, caesarean and obstetric emergencies
- On-call, team and liability for the act
- ginecologo
- obstetra
- gynaecologist
- gynecologist
Sources for this job· O*NET 29-1218.00· 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