Automation index
How much of a Property developer’s job can AI already do?
A development model comes earlier. Putting the building up and selling it without rows do not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Property developer
27%
AI can already do 27% of this job.
#174 / 623
View rankingProperty developer
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 |
|---|---|---|---|
Land, licence and the model.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 48% | +8.6 |
Works, the builder and the one who is late.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
Sell, the plan and the one who reserves.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Bank, the facility and the one that is cut.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
Neighbours, the objection and not hiding the impact.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
Put it up and sell without rows.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 12% | +1.9 |
| Total | 100% | 27% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- land
- licences
- development model
- sell units
- development finance
- objections
- reservations
- the build
Sources for this job· O*NET 11-9021.00· ESCO/ISCO 3334
IS WORK OVER?
Climatologist
27%
#140 / 623
View rankingClimatologist
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 |
|---|---|---|---|
Series, homogenise and the gap.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 48% | +8.6 |
Models, scenarios and the uncertainty.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
Report, the headline and not selling the easy one.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Field, the station and the one that moves.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
The politician, the figure and not staying quiet.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
Attribute, and not selling the headline.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 12% | +1.9 |
| Total | 100% | 27% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- climate series
- homogenise
- scenarios
- uncertainty
- headlines
- stations
- climate reports
- attribution
Sources for this job· O*NET 19-2021.00· ESCO/ISCO 2112