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?
Community health worker
24%
#256 / 623
View rankingCommunity health worker
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 |
|---|---|---|---|
Health map, workshops and the calendar.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
Street, doorway and the neighbour who does not come.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
Vaccines, screening and referring to the clinic.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 32% | +5.1 |
Data, report and the health table.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
The rumour, the distrust and not moralising.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 18% | +3.2 |
That they come, and not inflating workshop numbers.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 14% | +2.2 |
| Total | 100% | 24% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- health workshops
- health map
- door-to-door
- refer to clinic
- screening
- health table
- community vaccination
- health distrust
Sources for this job· O*NET 21-1094.00· ESCO/ISCO 3253