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?
Pizza maker
20%
AI can already do 20% of this job.
#472 / 643
View rankingPizza 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.
| Task | Share | AI | Points |
|---|---|---|---|
Dough, ferment and the day’s point.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 36% | +5.8 |
Open, top and the oven at a thousand.EstimateNo public source provides a precise figure. This is our estimate. | 22% | 8% | +1.8 |
Serve, delivery and the one that arrives cold.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
List, costs and the topping that runs out.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
Saturday, the queue and not working too far ahead.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 18% | +2.9 |
Pull it in time, and not leaving it carbonised.EstimateNo 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
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
IS WORK OVER?
Hearing aid technician
24%
#286 / 643
View rankingHearing aid technician
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.
| Task | Share | AI | Points |
|---|---|---|---|
Audiometry, thresholds and the fitting.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
Take the mould, trial and the one who hates the whistle.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 18% | +3.2 |
Program, verify and retune the aid.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 32% | +5.1 |
Repair, batteries and aftercare.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
Explain, family and the stigma of the device.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
That they actually hear, and not taking the aid back.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 12% | +1.9 |
| Total | 100% | 24% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- fit hearing aids
- take earmoulds
- audiometry
- program aids
- verify gain
- repair aids
- hearing thresholds
- aftercare
Sources for this job· O*NET 29-2092.00· ESCO/ISCO 3214