IS WORK OVER?

Automation index

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

A measured opening comes earlier. Closing, insulating and not trapping the lintel do not.

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

Task comparison

Window installer

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 openings, subframe and the order.
Estimate

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

16%32%+5.1
Set, plumb and the missing packer.
Estimate

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

22%8%+1.8
Foam, seal and the sweating lintel.
Estimate

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

16%22%+3.5
Fittings, adjust and the sash that rubs.
Estimate

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

16%28%+4.5
The lived-in house and not leaving the room freezing.
Estimate

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

16%18%+2.9
That it closes, and not trapping the lintel.
Estimate

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

14%12%+1.7
Total100%19%

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

Skills and activities

  • measure openings
  • subframes
  • plumb windows
  • seal lintels
  • adjust sashes
  • foam
  • packers
  • window fittings

Sources for this job· O*NET 47-2121.00· ESCO/ISCO 7125

Private-hire driver

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
App, routes and airport times.
Estimate

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

16%40%+6.4
Drive, pick up and drop the client.
Estimate

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

22%10%+2.2
Car, cleanliness and maintenance.
Estimate

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

16%18%+2.9
Service, bags and difficult clients.
Estimate

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

16%22%+3.5
Shifts, fatigue and zones.
Estimate

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

16%16%+2.6
Not missing a flight or a passenger.
Estimate

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

14%14%+2
Total100%20%

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

Skills and activities

  • drive
  • route
  • load goods
  • App, routes and airport times
  • Drive, pick up and drop the client
  • Car, cleanliness and maintenance
  • Service, bags and difficult clients
  • Shifts, fatigue and zones
  • Not missing a flight or a passenger
  • conductor vtc

Sources for this job· O*NET 53-3051.00· ESCO/ISCO 8322

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