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

Hotel concierge

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
Bookings, maps and recommendations.
Estimate

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

16%40%+6.4
Desk, bags and difficult guests.
Estimate

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

20%12%+2.4
Restaurants, tickets and transport.
Estimate

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

16%22%+3.5
Logs, shifts and front-desk coordination.
Estimate

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

16%28%+4.5
Neighbourhood, vendors and errands.
Estimate

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

16%16%+2.6
Not leaving a guest stranded at two in the morning.
Estimate

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

16%14%+2.2
Total100%22%

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

Skills and activities

  • Bookings, maps and recommendations
  • Desk, bags and difficult guests
  • Restaurants, tickets and transport
  • Logs, shifts and front-desk coordination
  • Neighbourhood, vendors and errands
  • conserje
  • concierge
  • portero de hotel

Sources for this job· O*NET 43-4081.00· ESCO/ISCO 4224

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