Automation index

How much of a Fleet dispatcher’s job can AI already do?

A GPS and a route come earlier. Covering the job when the truck stops do not.

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

Task comparison

IS WORK OVER?

28%

AI can already do 28% of this job.

#93 / 623

Fleet dispatcher

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
Routes, GPS and the day’s plan. Estimate No public source provides a precise figure. This is our estimate.	18%	52%	+9.4
The stopped truck, the client and reassigning. Estimate No public source provides a precise figure. This is our estimate.	16%	22%	+3.5
Times, tachograph and not burning the hours. Estimate No public source provides a precise figure. This is our estimate.	16%	36%	+5.8
Incidents, warehouse and the delivery that is not there. Estimate No public source provides a precise figure. This is our estimate.	16%	28%	+4.5
The driver, the shortcut and not lying to the client. Estimate No public source provides a precise figure. This is our estimate.	18%	14%	+2.5
Cover the job, and not leaving the route half done. 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

IS WORK OVER?

28%

#109 / 623

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