Automation index

How much of a Hydraulic engineer’s job can AI already do?

A floodplain model comes earlier. Sizing the channel so the village does not flood do not.

This percentage does not predict how many people will lose their jobs.

Task comparison

IS WORK OVER?

27%

AI can already do 27% of this job.

#164 / 623

Hydraulic engineer

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
Hydrology, flows and the floodplain model. Estimate No public source provides a precise figure. This is our estimate.	18%	48%	+8.6
Field, section and what LiDAR misses. Estimate No public source provides a precise figure. This is our estimate.	16%	22%	+3.5
Drainage works, pumps and the outfall. Estimate No public source provides a precise figure. This is our estimate.	16%	36%	+5.8
Water permits and the river authority. Estimate No public source provides a precise figure. This is our estimate.	16%	28%	+4.5
The flood, the village and the yes to the channel. Estimate No public source provides a precise figure. This is our estimate.	18%	14%	+2.5
That it does not flood, and not trusting the model alone. Estimate No public source provides a precise figure. This is our estimate.	16%	12%	+1.9
Total	100%		27%

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

IS WORK OVER?

23%

#304 / 623

Family doctor

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 history, labs and primary-care protocols. Estimate No public source provides a precise figure. This is our estimate.	16%	40%	+6.4
Clinic, examination and home visits. Estimate No public source provides a precise figure. This is our estimate.	22%	12%	+2.6
Explain, refer and hold uncertainty. Estimate No public source provides a precise figure. This is our estimate.	16%	22%	+3.5
Prescriptions, notes and sick-leave reports. Estimate No public source provides a precise figure. This is our estimate.	16%	32%	+5.1
List, nursing team and the health centre. Estimate No public source provides a precise figure. This is our estimate.	16%	18%	+2.9
Primary-care emergencies and not missing a heart attack. Estimate No public source provides a precise figure. This is our estimate.	14%	14%	+2
Total	100%		23%

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