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

DJ

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
Prep crates, edits and setlists.
Estimate

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

18%42%+7.6
Promo, contracts and riders.
Estimate

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

16%30%+4.8
Play live and read the floor.
Estimate

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

24%8%+1.9
Room sound, desk and technical faults.
Estimate

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

14%12%+1.7
Venue, talent buyer and crowd.
Estimate

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

14%14%+2
Brand, touring and own catalogue.
Estimate

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

14%16%+2.2
Total100%20%

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

Skills and activities

  • Prep crates, edits and setlists
  • Promo, contracts and riders
  • Play live and read the floor
  • Room sound, desk and technical faults
  • Venue, talent buyer and crowd
  • Brand, touring and own catalogue
  • pinchadiscos
  • disc jockey

Sources for this job· O*NET 27-2042.00· ESCO/ISCO 2652

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