IS WORK OVER?

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

Property 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.

TaskShareAIPoints
Land, licence and the model.
Estimate

No public source provides a precise figure. This is our estimate.

18%48%+8.6
Works, the builder and the one who is late.
Estimate

No public source provides a precise figure. This is our estimate.

16%40%+6.4
Sell, the plan and the one who reserves.
Estimate

No public source provides a precise figure. This is our estimate.

16%22%+3.5
Bank, the facility and the one that is cut.
Estimate

No public source provides a precise figure. This is our estimate.

16%28%+4.5
Neighbours, the objection and not hiding the impact.
Estimate

No public source provides a precise figure. This is our estimate.

18%14%+2.5
Put it up and sell without rows.
Estimate

No public source provides a precise figure. This is our estimate.

16%12%+1.9
Total100%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

Last-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.

TaskShareAIPoints
Zones, capacity and route cuts.
Estimate

No public source provides a precise figure. This is our estimate.

16%44%+7
KPIs, first attempt and incidents.
Estimate

No 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.
Estimate

No public source provides a precise figure. This is our estimate.

18%16%+2.9
Peaks, rain and hiring too many or too few.
Estimate

No public source provides a precise figure. This is our estimate.

16%28%+4.5
The angry customer and not dressing delivered.
Estimate

No public source provides a precise figure. This is our estimate.

18%18%+3.2
Cover the peak, and not leaving the neighbourhood orphaned.
Estimate

No public source provides a precise figure. This is our estimate.

16%14%+2.2
Total100%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

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