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

Last-mile manager

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
Zones, capacity and route cuts.
Estimate

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

16%44%+7
KPIs, first attempt and incidents.
Estimate

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

16%36%+5.8
The courier, the lobby and the one who will not open.
Estimate

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

18%16%+2.9
Peaks, rain and hiring too many or too few.
Estimate

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

16%28%+4.5
The angry customer and not dressing delivered.
Estimate

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

18%18%+3.2
Cover the peak, and not leaving the neighbourhood orphaned.
Estimate

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

16%14%+2.2
Total100%26%

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

Skills and activities

  • delivery zones
  • first attempt
  • delivery KPIs
  • last-mile peaks
  • lobbies
  • delivery incidents
  • courier capacity
  • cut routes

Sources for this job· O*NET 11-3071.00· ESCO/ISCO 1324

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