Automation index

How much of a Electrical engineer’s job can AI already do?

A schematic and a cable-size calc come earlier. Energising a board and not burning anything do not.

This percentage does not predict how many people will lose their jobs.

Task comparison

IS WORK OVER?

25%

AI can already do 25% of this job.

#236 / 623

Electrical 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
Calculate, single-line diagram and selectivity. Estimate No public source provides a precise figure. This is our estimate.	18%	48%	+8.6
Project, quantities and electrical spec. Estimate No public source provides a precise figure. This is our estimate.	16%	32%	+5.1
Site, contractors and commissioning. Estimate No public source provides a precise figure. This is our estimate.	16%	22%	+3.5
Measurements, thermography and faults. Estimate No public source provides a precise figure. This is our estimate.	16%	18%	+2.9
Code, quality and documentation. Estimate No public source provides a precise figure. This is our estimate.	18%	16%	+2.9
Sign and own the installation. Estimate No public source provides a precise figure. This is our estimate.	16%	14%	+2.2
Total	100%		25%

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

IS WORK OVER?

14%

#620 / 623

Paramedic

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
Notes and protocols Estimate No public source provides a precise figure. This is our estimate.	20%	30%	+6
Street care and transfer Estimate No public source provides a precise figure. This is our estimate.	50%	8%	+4
Life-threatening calls Estimate No public source provides a precise figure. This is our estimate.	20%	12%	+2.4
Coordination Estimate No public source provides a precise figure. This is our estimate.	10%	15%	+1.5
Total	100%		14%

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