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?
Data scientist
40%
#6 / 623
View rankingData scientist
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 |
|---|---|---|---|
Generate standard or custom reports summarizing business, financial, or economic data for review by executives, managers, clients, and other stakeholders.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 55% | +7.7 |
Manage timely flow of business intelligence information to users.EstimateNo public source provides a precise figure. This is our estimate. | 13% | 28% | +3.6 |
Maintain or update business intelligence tools, databases, dashboards, systems, or methods.EstimateNo public source provides a precise figure. This is our estimate. | 11% | 48% | +5.3 |
Provide technical support for existing reports, dashboards, or other tools.EstimateNo public source provides a precise figure. This is our estimate. | 9% | 55% | +5 |
Synthesize current business intelligence or trend data to support recommendations for action.EstimateNo public source provides a precise figure. This is our estimate. | 6% | 28% | +1.7 |
Create business intelligence tools or systems, including design of related databases, spreadsheets, or outputs.EstimateNo public source provides a precise figure. This is our estimate. | 6% | 55% | +3.3 |
Collect business intelligence data from available industry reports, public information, field reports, or purchased sources.EstimateNo public source provides a precise figure. This is our estimate. | 6% | 55% | +3.3 |
Identify or monitor current and potential customers, using business intelligence tools.EstimateNo public source provides a precise figure. This is our estimate. | 6% | 28% | +1.7 |
Other less frequent tasks (weight estimated from frequency).EstimateNo public source provides a precise figure. This is our estimate. | 29% | 28% | +8.1 |
| Total | 100% | 40% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- analyse data
- models
- dashboards
- python
- information structure
- data warehouse
- database
- web programming
- ICT security legislation
- business process modelling
Sources for this job· O*NET 15-2051.01· ESCO/ISCO 2521