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?
Prompt engineer
34%
#21 / 623
View rankingPrompt 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 |
|---|---|---|---|
Design prompts, tools and chains.EstimateNo public source provides a precise figure. This is our estimate. | 24% | 58% | +13.9 |
Evals, datasets and regressions.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 52% | +9.4 |
Integrate with product and safety limits.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Talk to the business about a good output.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 18% | +2.9 |
Watch hallucinations, bias and cost.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 20% | +2.8 |
Decide what the model gets, and what it does not.EstimateNo public source provides a precise figure. This is our estimate. | 12% | 16% | +1.9 |
| Total | 100% | 34% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- Design prompts, tools and chains
- Evals, datasets and regressions
- Integrate with product and safety limits
- Talk to the business about a good output
- Watch hallucinations, bias and cost
- prompt engineer
- ingeniero de prompts
- llm engineer
Sources for this job· O*NET 15-1252.00· ESCO/ISCO 2512