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?
Logistics analyst
28%
#79 / 623
View rankingLogistics analyst
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 |
|---|---|---|---|
Costs, OTIF and the dashboard.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 52% | +9.4 |
Simulate network, warehouses and the what-if.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
Ops, dirty data and going down to the dock.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Report, the board and the cut that hurts.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
The haulier, the contract and not breaking the service.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
A real saving, and not dressing OTIF.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
- logistics costs
- OTIF
- simulate network
- what-if
- dirty data
- haulage contracts
- dashboards
- network cuts
Sources for this job· O*NET 13-1081.00· ESCO/ISCO 2421