Automation index
How much of a Energy engineer’s job can AI already do?
A load curve comes earlier. Cutting the bill without leaving the process in the dark do not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Energy engineer
27%
AI can already do 27% of this job.
#160 / 623
View rankingEnergy 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 |
|---|---|---|---|
Energy audit, curves and the saving potential.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 48% | +8.6 |
Contracts, tariffs and the power market.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 36% | +5.8 |
Plant, meters and what the meter misses.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Efficiency projects and the real payback.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
The board, the CAPEX and the no to the project.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
Save for real, and not selling green smoke.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
- energy audit
- load curves
- power tariffs
- energy efficiency
- CAPEX payback
- plant metering
- power market
- real savings
Sources for this job· O*NET 17-2199.00· ESCO/ISCO 2149
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