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

IS WORK OVER?

20%

AI can already do 20% of this job.

#472 / 643

Pizza maker

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.

Task	Share	AI	Points
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
Total	100%		20%

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

IS WORK OVER?

24%

#278 / 643

Internist

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.

Task	Share	AI	Points
Cross labs, imaging and a differential. Estimate No public source provides a precise figure. This is our estimate.	18%	48%	+8.6
Ward round, examination and decisions. Estimate No public source provides a precise figure. This is our estimate.	18%	14%	+2.5
Explain to family and ceilings of care. Estimate No public source provides a precise figure. This is our estimate.	16%	22%	+3.5
Discharge reports, consults and boards. Estimate No public source provides a precise figure. This is our estimate.	16%	28%	+4.5
Medical on-call and difficult patients. Estimate No public source provides a precise figure. This is our estimate.	16%	18%	+2.9
Team, residents and not fragmenting the patient. Estimate No public source provides a precise figure. This is our estimate.	16%	14%	+2.2
Total	100%		24%

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