IS WORK OVER?

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

Energy 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.

TaskShareAIPoints
Energy audit, curves and the saving potential.
Estimate

No public source provides a precise figure. This is our estimate.

18%48%+8.6
Contracts, tariffs and the power market.
Estimate

No public source provides a precise figure. This is our estimate.

16%36%+5.8
Plant, meters and what the meter misses.
Estimate

No public source provides a precise figure. This is our estimate.

16%22%+3.5
Efficiency projects and the real payback.
Estimate

No public source provides a precise figure. This is our estimate.

16%28%+4.5
The board, the CAPEX and the no to the project.
Estimate

No public source provides a precise figure. This is our estimate.

18%14%+2.5
Save for real, and not selling green smoke.
Estimate

No public source provides a precise figure. This is our estimate.

16%12%+1.9
Total100%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

Olive-oil miller

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.

TaskShareAIPoints
Intake, yield and the mill log.
Estimate

No public source provides a precise figure. This is our estimate.

16%40%+6.4
Crush, malaxate and the decanter.
Estimate

No public source provides a precise figure. This is our estimate.

18%12%+2.2
Temperature, time and the fruitiness.
Estimate

No public source provides a precise figure. This is our estimate.

16%28%+4.5
Cellar, the batch and the one that goes rancid.
Estimate

No public source provides a precise figure. This is our estimate.

16%22%+3.5
The campaign, the tractor queue and not heating.
Estimate

No public source provides a precise figure. This is our estimate.

18%18%+3.2
Cold for real, and not painting the yield.
Estimate

No public source provides a precise figure. This is our estimate.

16%12%+1.9
Total100%22%

Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low

Skills and activities

  • crush olives
  • malaxation
  • decanter
  • fruitiness
  • the campaign
  • mill yield
  • oil cellar
  • extraction temperature

Sources for this job· O*NET 51-3092.00· ESCO/ISCO 7514

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