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?

21%

#439 / 633

Network 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
Diagrams, inventory and standard configs. Estimate No public source provides a precise figure. This is our estimate.	18%	38%	+6.8
Tickets, remote diagnosis and logs. Estimate No public source provides a precise figure. This is our estimate.	16%	28%	+4.5
Pulling, racking, crimping and labelling. Estimate No public source provides a precise figure. This is our estimate.	22%	12%	+2.6
Bring up links, VLANs and site Wi-Fi. Estimate No public source provides a precise figure. This is our estimate.	16%	15%	+2.4
On-call, outages and user care. Estimate No public source provides a precise figure. This is our estimate.	14%	18%	+2.5
Vendors, civil work and access. Estimate No public source provides a precise figure. This is our estimate.	14%	16%	+2.2
Total	100%		21%

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