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

Family doctor

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
Read history, labs and primary-care protocols.
Estimate

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

16%40%+6.4
Clinic, examination and home visits.
Estimate

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

22%12%+2.6
Explain, refer and hold uncertainty.
Estimate

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

16%22%+3.5
Prescriptions, notes and sick-leave reports.
Estimate

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

16%32%+5.1
List, nursing team and the health centre.
Estimate

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

16%18%+2.9
Primary-care emergencies and not missing a heart attack.
Estimate

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

14%14%+2
Total100%23%

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

Skills and activities

  • care for patients
  • diagnose
  • nursing care
  • clinical notes
  • Clinic, examination and home visits
  • Explain, refer and hold uncertainty
  • List, nursing team and the health centre
  • medico de familia
  • general practitioner

Sources for this job· O*NET 29-1215.00· ESCO/ISCO 2211

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