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

Hospital pharmacist

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
Transcription, reconciliation and the error.
Estimate

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

18%48%+8.6
Validate, the interaction and the one that cannot.
Estimate

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

16%40%+6.4
Chemo, the cabinet and not mixing the batch.
Estimate

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

16%22%+3.5
Ward, the doubt and going down to see the patient.
Estimate

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

16%28%+4.5
The board, the expensive drug and not yielding to pressure.
Estimate

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

18%14%+2.5
Validate the regimen, and not missing the error.
Estimate

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

16%12%+1.9
Total100%27%

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

Skills and activities

  • meds reconciliation
  • validate regimens
  • chemotherapy
  • interactions
  • compounding cabinet
  • hospital pharmacy
  • expensive drugs
  • medication errors

Sources for this job· O*NET 29-1051.00· ESCO/ISCO 2262

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