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
IS WORK OVER?
Landscape architect
24%
AI can already do 24% of this job.
#277 / 633
View rankingLandscape 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.
| Task | Share | AI | Points |
|---|---|---|---|
Plan, species and the irrigation.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 44% | +7 |
Works, levels and the tree that will not fit.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 16% | +2.9 |
Soil, climate and not planting what will not last.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 32% | +5.1 |
Client, maintenance and what they will not water.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
August, the drought and the yes to xeriscape.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
That it is lived in, and not dying in August.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 12% | +1.9 |
| Total | 100% | 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
IS WORK OVER?
Data architect
28%
#83 / 633
View rankingData 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.
| Task | Share | AI | Points |
|---|---|---|---|
Models, lineage and the catalogue.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 52% | +9.4 |
Pipelines, quality and the data contract.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
The analyst who finds nothing and the mess.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Privacy, retention and the field you cannot keep.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
The business, shadow IT and not building another lake.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
That it gets used, and not letting raw data rot.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 12% | +1.9 |
| Total | 100% | 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