Automation index

How much of a Home-automation installer’s job can AI already do?

A scene comes earlier. The house obeying without going dark do not.

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

Task comparison

IS WORK OVER?

23%

AI can already do 23% of this job.

#301 / 623

Home-automation installer

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
Diagram, buses and scene programming. Estimate No public source provides a precise figure. This is our estimate.	16%	40%	+6.4
Wire, sensors and the switch that does not answer. Estimate No public source provides a precise figure. This is our estimate.	18%	14%	+2.5
Integrate lights, climate and the client app. Estimate No public source provides a precise figure. This is our estimate.	16%	32%	+5.1
Train, guest mode and the one who breaks it. Estimate No public source provides a precise figure. This is our estimate.	16%	22%	+3.5
The lived-in house and not leaving it dark. Estimate No public source provides a precise figure. This is our estimate.	18%	18%	+3.2
That it obeys, and not needing the cloud for a switch. Estimate No public source provides a precise figure. This is our estimate.	16%	12%	+1.9
Total	100%		23%

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

IS WORK OVER?

19%

#492 / 623

Kayak guide

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
Flow, kit and the briefing. Estimate No public source provides a precise figure. This is our estimate.	16%	32%	+5.1
Water, the novice and the one who flips. Estimate No public source provides a precise figure. This is our estimate.	22%	8%	+1.8
Rescue, the rope and not losing anyone. Estimate No public source provides a precise figure. This is our estimate.	16%	22%	+3.5
Rapid, the yes or no and aborting. Estimate No public source provides a precise figure. This is our estimate.	16%	28%	+4.5
The cold, the wetsuit and not pushing the grade. Estimate No public source provides a precise figure. This is our estimate.	16%	18%	+2.9
Without flipping the group, and whole to the take-out. 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