IS WORK OVER?

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

Mixer-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.

TaskShareAIPoints
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
Total100%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

Logistics analyst

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.

TaskShareAIPoints
Costs, OTIF and the dashboard.
Estimate

No public source provides a precise figure. This is our estimate.

18%52%+9.4
Simulate network, warehouses and the what-if.
Estimate

No public source provides a precise figure. This is our estimate.

16%40%+6.4
Ops, dirty data and going down to the dock.
Estimate

No public source provides a precise figure. This is our estimate.

16%22%+3.5
Report, the board and the cut that hurts.
Estimate

No public source provides a precise figure. This is our estimate.

16%28%+4.5
The haulier, the contract and not breaking the service.
Estimate

No public source provides a precise figure. This is our estimate.

18%14%+2.5
A real saving, and not dressing OTIF.
Estimate

No public source provides a precise figure. This is our estimate.

16%12%+1.9
Total100%28%

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

Skills and activities

  • logistics costs
  • OTIF
  • simulate network
  • what-if
  • dirty data
  • haulage contracts
  • dashboards
  • network cuts

Sources for this job· O*NET 13-1081.00· ESCO/ISCO 2421

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