Automation index

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

A measure and an order come earlier. Lifting a pane and not breaking it do not.

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

Task comparison

IS WORK OVER?

17%

AI can already do 17% of this job.

#639 / 683

Glazier

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
Measure, order glass and ironmongery. Estimate No public source provides a precise figure. This is our estimate.	16%	30%	+4.8
Cut, set and seal. Estimate No public source provides a precise figure. This is our estimate.	22%	10%	+2.2
Heights, suckers and not breaking the pane. Estimate No public source provides a precise figure. This is our estimate.	16%	12%	+1.9
Site, client and protection. Estimate No public source provides a precise figure. This is our estimate.	16%	18%	+2.9
Logs, quantities and extras. Estimate No public source provides a precise figure. This is our estimate.	16%	22%	+3.5
Not leaving glass that whistles or leaks. Estimate No public source provides a precise figure. This is our estimate.	14%	14%	+2
Total	100%		17%

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

IS WORK OVER?

22%

#401 / 683

Art teacher

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
Project, the sheet and the kit. Estimate No public source provides a precise figure. This is our estimate.	16%	40%	+6.4
Classroom, the one who will not dare and the one who bins it. Estimate No public source provides a precise figure. This is our estimate.	18%	14%	+2.5
Technique, the mistake and not doing it for them. Estimate No public source provides a precise figure. This is our estimate.	16%	28%	+4.5
Show, the corridor and not hanging only the pretty. Estimate No public source provides a precise figure. This is our estimate.	16%	22%	+3.5
Staff, 'it's a soft subject', and not dropping the bar. Estimate No public source provides a precise figure. This is our estimate.	18%	18%	+3.2
That they get dirty, and not copying the model. Estimate No public source provides a precise figure. This is our estimate.	16%	12%	+1.9
Total	100%		22%

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