Automation index

How much of a Façade technician’s job can AI already do?

A panel list comes earlier. Hanging the façade without letting water in do not.

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

Task comparison

IS WORK OVER?

21%

AI can already do 21% of this job.

#418 / 633

Façade technician

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
Set-out, anchors and the panel list. Estimate No public source provides a precise figure. This is our estimate.	16%	36%	+5.8
Hang, adjust and the panel that will not close. Estimate No public source provides a precise figure. This is our estimate.	18%	12%	+2.2
Joints, water and the weathertightness test. Estimate No public source provides a precise figure. This is our estimate.	16%	22%	+3.5
Scaffold, cradle and façade wind. Estimate No public source provides a precise figure. This is our estimate.	16%	28%	+4.5
The architect, the sample and the shade that misses. Estimate No public source provides a precise figure. This is our estimate.	18%	18%	+3.2
No water in, and not forcing the anchor. Estimate No public source provides a precise figure. This is our estimate.	16%	12%	+1.9
Total	100%		21%

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

IS WORK OVER?

23%

#301 / 633

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