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

Excavator operator

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
Set-out, levels and the machine log.
Estimate

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

16%32%+5.1
Dig, load and the batter that comes in.
Estimate

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

24%6%+1.4
Services, the blind pipe and stopping in time.
Estimate

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

16%22%+3.5
Maintenance, grease and the pin that snaps.
Estimate

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

16%28%+4.5
The labourer, the lorry and covering nobody.
Estimate

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

14%18%+2.5
Not breaking what is buried, and leaving a clean formation.
Estimate

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

14%10%+1.4
Total100%18%

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

Skills and activities

  • dig with excavator
  • load lorries
  • batters
  • buried services
  • set-out levels
  • grease the machine
  • formation
  • site GPS

Sources for this job· O*NET 47-2073.00· ESCO/ISCO 8342

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