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

Data 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
Models, lineage and the catalogue.
Estimate

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

18%52%+9.4
Pipelines, quality and the data contract.
Estimate

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

16%40%+6.4
The analyst who finds nothing and the mess.
Estimate

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

16%22%+3.5
Privacy, retention and the field you cannot keep.
Estimate

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

16%28%+4.5
The business, shadow IT and not building another lake.
Estimate

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

18%14%+2.5
That it gets used, and not letting raw data rot.
Estimate

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

16%12%+1.9
Total100%28%

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

Skills and activities

  • model data
  • lineage
  • data catalogue
  • data contracts
  • pipeline quality
  • retention
  • data lakes
  • privacy

Sources for this job· O*NET 15-1243.00· ESCO/ISCO 2511

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