IS WORK OVER?

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

Glazier

Where the time goes

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.

TaskShareAIPoints
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
Total100%17%

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

Skills and activities

  • Measure, order glass and ironmongery
  • Cut, set and seal
  • Heights, suckers and not breaking the pane
  • Site, client and protection
  • Logs, quantities and extras
  • Not leaving glass that whistles or leaks
  • cristalero
  • glazier
  • vidriero

Sources for this job· O*NET 47-2121.00· ESCO/ISCO 7115

Station master

Where the time goes

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.

TaskShareAIPoints
Graph, orders and the station log.
Estimate

No public source provides a precise figure. This is our estimate.

16%40%+6.4
Platforms, the crossing and the late train.
Estimate

No public source provides a precise figure. This is our estimate.

18%14%+2.5
Staff, shifts and the ticket-office gap.
Estimate

No public source provides a precise figure. This is our estimate.

16%32%+5.1
Incident, passengers and the PA.
Estimate

No public source provides a precise figure. This is our estimate.

16%22%+3.5
Works, closures and leaving nobody on the platform.
Estimate

No public source provides a precise figure. This is our estimate.

18%18%+3.2
That they do not meet, and signing the graph.
Estimate

No public source provides a precise figure. This is our estimate.

16%12%+1.9
Total100%23%

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

Skills and activities

  • train graph
  • orders
  • platforms
  • ticket office
  • PA
  • line crossings
  • station shifts
  • station logs

Sources for this job· O*NET 53-4031.00· ESCO/ISCO 4323

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