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?
Materials engineer
27%
#162 / 623
View rankingMaterials engineer
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 |
|---|---|---|---|
Tests, metallography and the spec.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 48% | +8.6 |
Shop, heat treatment and the part that fails spec.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Material choice, corrosion and fatigue.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 36% | +5.8 |
Supplier, certificates and the doubtful batch.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
The field failure and the root cause.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
That it does not fail, and not swapping the material blind.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
- materials tests
- metallography
- choose alloys
- corrosion
- fatigue
- heat treatment
- failure analysis
- batch certificates
Sources for this job· O*NET 17-2131.00· ESCO/ISCO 2149