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.

#160 / 623

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?

27%

#169 / 623

Office manager

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
Vendors, contracts and the inventory. Estimate No public source provides a precise figure. This is our estimate.	18%	48%	+8.6
Facilities, the air-con and the one who is late. Estimate No public source provides a precise figure. This is our estimate.	16%	40%	+6.4
Onboarding, keys and the desk. Estimate No public source provides a precise figure. This is our estimate.	16%	22%	+3.5
Budget, the extra and not overspending. Estimate No public source provides a precise figure. This is our estimate.	16%	28%	+4.5
Management, the surprise and not leaving the office dark. Estimate No public source provides a precise figure. This is our estimate.	18%	14%	+2.5
That it works, and not running out of paper. 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