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?
Mixer-truck driver
21%
AI can already do 21% of this job.
#412 / 633
View rankingMixer-truck driver
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.
| Task | Share | AI | Points |
|---|---|---|---|
Order, mix and mixing time.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 36% | +5.8 |
Drive, site and the tight access.EstimateNo public source provides a precise figure. This is our estimate. | 22% | 10% | +2.2 |
Pour, pump and the one who wants more water.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Wash, leftovers and not leaving a hard drum.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
The jam, the delay and the concrete that sets.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 18% | +2.9 |
Arrive fresh, and not adding extra water.EstimateNo 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
Skills and activities
- drive mixers
- batch
- pour concrete
- wash the drum
- slump
- concrete pump
- mix order
- site access
Sources for this job· O*NET 53-3032.00· ESCO/ISCO 8332
IS WORK OVER?
Hydraulic engineer
27%
#164 / 633
View rankingHydraulic engineer
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.
| Task | Share | AI | Points |
|---|---|---|---|
Hydrology, flows and the floodplain model.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 48% | +8.6 |
Field, section and what LiDAR misses.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Drainage works, pumps and the outfall.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 36% | +5.8 |
Water permits and the river authority.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
The flood, the village and the yes to the channel.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
That it does not flood, and not trusting the model alone.EstimateNo 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
Skills and activities
- model floodplains
- flows
- drainage
- channel works
- water permits
- pumps
- channel sections
- river authority
Sources for this job· O*NET 17-2051.00· ESCO/ISCO 2142