Automation index

How much of a Mixer-truck driver’s job can AI already do?

A route and a slump come earlier. Arriving fresh and pouring without blocking the pump 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.

#412 / 633

Mixer-truck driver

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
Order, mix and mixing time. Estimate No public source provides a precise figure. This is our estimate.	16%	36%	+5.8
Drive, site and the tight access. Estimate No public source provides a precise figure. This is our estimate.	22%	10%	+2.2
Pour, pump and the one who wants more water. Estimate No public source provides a precise figure. This is our estimate.	16%	22%	+3.5
Wash, leftovers and not leaving a hard drum. Estimate No public source provides a precise figure. This is our estimate.	16%	28%	+4.5
The jam, the delay and the concrete that sets. Estimate No public source provides a precise figure. This is our estimate.	16%	18%	+2.9
Arrive fresh, and not adding extra water. 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