Automation index

How much of a Traffic warden’s job can AI already do?

A camera and a stock ticket come earlier. Running a junction and taking the abuse do not.

This percentage does not predict how many people will lose their jobs.

Task comparison

IS WORK OVER?

21%

AI can already do 21% of this job.

#405 / 633

Traffic warden

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
Tickets, photos and the plate record. Estimate No public source provides a precise figure. This is our estimate.	16%	40%	+6.4
Junction, closure and the rush-hour jam. Estimate No public source provides a precise figure. This is our estimate.	22%	10%	+2.2
Tow, parking and the one who stands in the way. Estimate No public source provides a precise figure. This is our estimate.	16%	22%	+3.5
Events, races and the day’s operation. Estimate No public source provides a precise figure. This is our estimate.	16%	28%	+4.5
Deal, explain and the insult in the street. Estimate No public source provides a precise figure. This is our estimate.	16%	18%	+2.9
A fair ticket, and not making a scene. Estimate No public source provides a precise figure. This is our estimate.	14%	12%	+1.7
Total	100%		21%

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

IS WORK OVER?

28%

#109 / 633

BIM modeller

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
Model, families and clash detection. Estimate No public source provides a precise figure. This is our estimate.	18%	52%	+9.4
IFC, BEP and trade coordination. Estimate No public source provides a precise figure. This is our estimate.	16%	40%	+6.4
Site, the one who will not open the model, and the meeting. Estimate No public source provides a precise figure. This is our estimate.	16%	22%	+3.5
Quantities, parameters and the 4D nobody uses. Estimate No public source provides a precise figure. This is our estimate.	16%	28%	+4.5
The last-minute change and not breaking the federated model. Estimate No public source provides a precise figure. This is our estimate.	18%	14%	+2.5
That it can be built, and not over-modelling. Estimate No 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