IS WORK OVER?

Automation index

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

A planting plan comes earlier. A garden you can live in that does not die in August do not.

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

Task comparison

Landscape architect

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
Plan, species and the irrigation.
Estimate

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

16%44%+7
Works, levels and the tree that will not fit.
Estimate

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

18%16%+2.9
Soil, climate and not planting what will not last.
Estimate

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

16%32%+5.1
Client, maintenance and what they will not water.
Estimate

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

16%28%+4.5
August, the drought and the yes to xeriscape.
Estimate

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

18%14%+2.5
That it is lived in, and not dying in August.
Estimate

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

16%12%+1.9
Total100%24%

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

Skills and activities

  • planting plans
  • species
  • garden irrigation
  • xeriscape
  • works levels
  • soil
  • garden maintenance
  • trees

Sources for this job· O*NET 17-1012.00· ESCO/ISCO 2162

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

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