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?

21%

AI can already do 21% of this job.

#430 / 643

Gynaecologist

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. Estimate No public source provides a precise figure. This is our estimate.	16%	40%	+6.4
Clinic, examination and gynaecological theatre. Estimate No public source provides a precise figure. This is our estimate.	20%	10%	+2
Birth, caesarean and obstetric emergencies. Estimate No public source provides a precise figure. This is our estimate.	16%	12%	+1.9
Explain, consent and accompany grief and discharge. Estimate No public source provides a precise figure. This is our estimate.	16%	22%	+3.5
Reports, prescriptions and coordination with the midwife. Estimate No public source provides a precise figure. This is our estimate.	16%	28%	+4.5
On-call, team and liability for the act. Estimate No 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

IS WORK OVER?

26%

#216 / 643

Last-mile manager

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
Zones, capacity and route cuts. Estimate No public source provides a precise figure. This is our estimate.	16%	44%	+7
KPIs, first attempt and incidents. Estimate No public source provides a precise figure. This is our estimate.	16%	36%	+5.8
The courier, the lobby and the one who will not open. Estimate No public source provides a precise figure. This is our estimate.	18%	16%	+2.9
Peaks, rain and hiring too many or too few. Estimate No public source provides a precise figure. This is our estimate.	16%	28%	+4.5
The angry customer and not dressing delivered. Estimate No public source provides a precise figure. This is our estimate.	18%	18%	+3.2
Cover the peak, and not leaving the neighbourhood orphaned. Estimate No public source provides a precise figure. This is our estimate.	16%	14%	+2.2
Total	100%		26%

Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low