Automation index
How much of a Environmental technician’s job can AI already do?
A sampling round comes earlier. Measuring for real without hiding the spike do not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Environmental technician
22%
AI can already do 22% of this job.
#390 / 633
View rankingEnvironmental technician
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 |
|---|---|---|---|
Sampling, chain and the blank.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
Field, the discharge and the one you cannot see.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
Report, limits and not dressing it.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
Inspection, the firm and holding.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
The council, the complaint and not sitting on the figure.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 18% | +3.2 |
Measure for real, and not hiding the spike.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 12% | +1.9 |
| Total | 100% | 22% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- environmental sampling
- discharges
- limits
- blanks
- environment reports
- inspection
- complaints
- sample chain
Sources for this job· O*NET 19-4042.00· ESCO/ISCO 3141
IS WORK OVER?
Hydraulic engineer
27%
#164 / 633
View rankingHydraulic 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 |
|---|---|---|---|
Hydrology, flows and the floodplain model.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 48% | +8.6 |
Field, section and what LiDAR misses.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Drainage works, pumps and the outfall.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 36% | +5.8 |
Water permits and the river authority.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
The flood, the village and the yes to the channel.EstimateNo 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.EstimateNo 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
Skills and activities
- model floodplains
- flows
- drainage
- channel works
- water permits
- pumps
- channel sections
- river authority
Sources for this job· O*NET 17-2051.00· ESCO/ISCO 2142