Automation index
How much of a Environmental engineer’s job can AI already do?
A discharge model comes earlier. A plant that complies and does not poison the river does not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Environmental engineer
25%
AI can already do 25% of this job.
#229 / 633
View rankingEnvironmental 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 |
|---|---|---|---|
Model emissions, discharges and noise.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 48% | +8.6 |
Impact studies, permits and specs.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 32% | +5.1 |
Field, sampling and treatment plants.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Authorities, public and objections.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 18% | +2.9 |
Rules, reports and monitoring.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 16% | +2.9 |
Not dressing an environmental figure.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 14% | +2.2 |
| Total | 100% | 25% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- Model emissions, discharges and noise
- Impact studies, permits and specs
- Field, sampling and treatment plants
- Authorities, public and objections
- Rules, reports and monitoring
- Not dressing an environmental figure
- ingeniero ambiental
- environmental engineer
Sources for this job· O*NET 17-2081.00· ESCO/ISCO 2143
IS WORK OVER?
Excavator operator
18%
#574 / 633
View rankingExcavator operator
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 |
|---|---|---|---|
Set-out, levels and the machine log.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 32% | +5.1 |
Dig, load and the batter that comes in.EstimateNo public source provides a precise figure. This is our estimate. | 24% | 6% | +1.4 |
Services, the blind pipe and stopping in time.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Maintenance, grease and the pin that snaps.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
The labourer, the lorry and covering nobody.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 18% | +2.5 |
Not breaking what is buried, and leaving a clean formation.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 10% | +1.4 |
| Total | 100% | 18% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- dig with excavator
- load lorries
- batters
- buried services
- set-out levels
- grease the machine
- formation
- site GPS
Sources for this job· O*NET 47-2073.00· ESCO/ISCO 8342