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 / 623
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?
Mobile developer
28%
#92 / 623
View rankingMobile developer
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 |
|---|---|---|---|
Screens, API and offline state.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 52% | +9.4 |
Store review, crashlytics and ANRs.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
Real device, the notch and fragmented Android.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
CI, tests and the week's release.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
Product, the redesign and not breaking what people use.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
That it does not crash, and not ignoring the one-star.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 12% | +1.9 |
| Total | 100% | 28% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- build apps
- ship to stores
- crashlytics
- offline state
- ANRs
- mobile tests
- fragmented Android
- store review
Sources for this job· O*NET 15-1252.00· ESCO/ISCO 2514