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

Cleaner

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
Logs, checklists and product orders.
Estimate

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

14%32%+4.5
Scrubber-driers and dosing.
Estimate

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

12%22%+2.6
Mop, vacuum, disinfect and restock.
Estimate

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

26%10%+2.6
Waste, linen and sensitive areas.
Estimate

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

16%12%+1.9
Shifts, keys and dealing with users.
Estimate

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

16%14%+2.2
Surprises: vomit, works, a complaint.
Estimate

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

16%16%+2.6
Total100%16%

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

Skills and activities

  • Logs, checklists and product orders
  • Scrubber-driers and dosing
  • Mop, vacuum, disinfect and restock
  • Waste, linen and sensitive areas
  • Shifts, keys and dealing with users
  • Surprises: vomit, works, a complaint
  • limpiador
  • limpiadora
  • personal de limpieza
  • cleaner

Sources for this job· O*NET 37-2011.00· ESCO/ISCO 9112

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