Automation index

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

A bole comes earlier. Laying gold leaf without seeing the join do not.

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

Task comparison

IS WORK OVER?

19%

AI can already do 19% of this job.

#501 / 643

Gilder

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
Prep, bole and the ground. Estimate No public source provides a precise figure. This is our estimate.	16%	32%	+5.1
Lay, gold leaf and the join. Estimate No public source provides a precise figure. This is our estimate.	22%	8%	+1.8
Burnish, matte and the one that lifts. Estimate No public source provides a precise figure. This is our estimate.	16%	22%	+3.5
Frame, altarpiece and the client who touches. Estimate No public source provides a precise figure. This is our estimate.	16%	28%	+4.5
The humidity, the shop and not laying in a rush. Estimate No public source provides a precise figure. This is our estimate.	16%	18%	+2.9
No visible join, and not eating the gold. 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

IS WORK OVER?

21%

#448 / 643

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