IS WORK OVER?

Automation index

How much of a Pizza maker’s job can AI already do?

A dough recipe comes earlier. Opening, baking and pulling it in time do not.

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

Task comparison

Pizza 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
Dough, ferment and the day’s point.
Estimate

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

16%36%+5.8
Open, top and the oven at a thousand.
Estimate

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

22%8%+1.8
Serve, delivery and the one that arrives cold.
Estimate

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

16%22%+3.5
List, costs and the topping that runs out.
Estimate

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

16%28%+4.5
Saturday, the queue and not working too far ahead.
Estimate

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

16%18%+2.9
Pull it in time, and not leaving it carbonised.
Estimate

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

14%12%+1.7
Total100%20%

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

Skills and activities

  • open dough
  • bake pizza
  • ferment
  • top pizzas
  • the oven
  • pizza delivery
  • dough point
  • Saturday queue

Sources for this job· O*NET 35-2011.00· ESCO/ISCO 5120

Fleet dispatcher

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
Routes, GPS and the day’s plan.
Estimate

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

18%52%+9.4
The stopped truck, the client and reassigning.
Estimate

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

16%22%+3.5
Times, tachograph and not burning the hours.
Estimate

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

16%36%+5.8
Incidents, warehouse and the delivery that is not there.
Estimate

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

16%28%+4.5
The driver, the shortcut and not lying to the client.
Estimate

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

18%14%+2.5
Cover the job, and not leaving the route half done.
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

  • dispatch the fleet
  • truck GPS
  • tachograph
  • reassign routes
  • driving hours
  • delivery incidents
  • day plan
  • stopped truck

Sources for this job· O*NET 43-5032.00· ESCO/ISCO 4323

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