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 / 633

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%

#543 / 633

Occupational therapist

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
Reports, scales and intervention plans. Estimate No public source provides a precise figure. This is our estimate.	18%	35%	+6.3
Prescribe aids and adapt paperwork. Estimate No public source provides a precise figure. This is our estimate.	16%	28%	+4.5
Practical session: dressing, cooking, mobility. Estimate No public source provides a precise figure. This is our estimate.	22%	8%	+1.8
Home visit and the real environment. Estimate No public source provides a precise figure. This is our estimate.	16%	12%	+1.9
Family, carer and clinical team. Estimate No public source provides a precise figure. This is our estimate.	14%	14%	+2
Motivation when the patient gives up. Estimate No public source provides a precise figure. This is our estimate.	14%	16%	+2.2
Total	100%		19%

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