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?
Last-mile manager
26%
#211 / 623
View rankingLast-mile manager
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 |
|---|---|---|---|
Zones, capacity and route cuts.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 44% | +7 |
KPIs, first attempt and incidents.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 36% | +5.8 |
The courier, the lobby and the one who will not open.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 16% | +2.9 |
Peaks, rain and hiring too many or too few.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
The angry customer and not dressing delivered.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 18% | +3.2 |
Cover the peak, and not leaving the neighbourhood orphaned.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 14% | +2.2 |
| Total | 100% | 26% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- delivery zones
- first attempt
- delivery KPIs
- last-mile peaks
- lobbies
- delivery incidents
- courier capacity
- cut routes
Sources for this job· O*NET 11-3071.00· ESCO/ISCO 1324