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?

27%

AI can already do 27% of this job.

#174 / 633

Property developer

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. 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
Total	100%		27%

Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low

IS WORK OVER?

27%

#138 / 633

Category manager

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
Assortment, prices and the shelf. Estimate No public source provides a precise figure. This is our estimate.	18%	48%	+8.6
Supplier, the negotiation and the one that will not list. Estimate No public source provides a precise figure. This is our estimate.	16%	40%	+6.4
Promo, the calendar and the one that clashes. Estimate No public source provides a precise figure. This is our estimate.	16%	22%	+3.5
Data, margin and not killing the category. Estimate No public source provides a precise figure. This is our estimate.	16%	28%	+4.5
Own-label, the clash and not hiding it. Estimate No public source provides a precise figure. This is our estimate.	18%	14%	+2.5
That the category wins. Estimate No 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