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?

27%

AI can already do 27% of this job.

#174 / 743

Energy engineer

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. 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
Total	100%		27%

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

IS WORK OVER?

19%

#598 / 743

Site engineer

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
Setting-out, axes and the level. Estimate No public source provides a precise figure. This is our estimate.	16%	32%	+5.1
Rebar, cover and the one that is missing. Estimate No public source provides a precise figure. This is our estimate.	22%	8%	+1.8
Concrete, the slump and not pouring if it fails. Estimate No public source provides a precise figure. This is our estimate.	16%	22%	+3.5
Note, the diary and not dressing the delay. Estimate No public source provides a precise figure. This is our estimate.	16%	28%	+4.5
The site manager, the rush and not covering bad steel. Estimate No public source provides a precise figure. This is our estimate.	16%	18%	+2.9
That the column is there, and not covering the steel. Estimate No public source provides a precise figure. This is our estimate.	14%	12%	+1.7
Total	100%		19%

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