IS WORK OVER?

Automation index

How much of a Ice-cream maker’s job can AI already do?

A base recipe comes earlier. Creamy in the mouth without turning to ice do not.

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

Task comparison

Ice-cream maker

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
Base, overrun and the recipe.
Estimate

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

16%44%+7
Churn, age and the one that crystals.
Estimate

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

18%12%+2.2
List, season and the flavour that misses.
Estimate

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

16%28%+4.5
Workshop, cold and the broken chain.
Estimate

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

16%22%+3.5
Summer, the queue and not running out of vanilla.
Estimate

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

18%18%+3.2
Creamy in the mouth, and not selling ice.
Estimate

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

16%12%+1.9
Total100%22%

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

Skills and activities

  • churn
  • overrun
  • age bases
  • ice-cream list
  • cold chain
  • ice crystals
  • vanilla
  • ice-cream season

Sources for this job· O*NET 51-3099.00· ESCO/ISCO 7512

Route planner

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
Optimise, windows and capacity.
Estimate

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

18%52%+9.4
Restrictions, tolls and the right vehicle.
Estimate

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

16%40%+6.4
The salesperson who promises and the plan that will not.
Estimate

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

16%22%+3.5
Recalc, incidents and the next day.
Estimate

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

16%28%+4.5
The warehouse, the cut-off and not leaving the last one.
Estimate

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

18%14%+2.5
That it fits, and not blowing the hours.
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

  • optimise routes
  • delivery windows
  • tolls
  • vehicle capacity
  • recalc
  • traffic restrictions
  • warehouse cut-off
  • driving hours

Sources for this job· O*NET 13-1081.00· ESCO/ISCO 4323

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