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.
#463 / 633
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?
Development cooperation officer
26%
#212 / 633
View rankingDevelopment cooperation officer
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 |
|---|---|---|---|
Agreements, alignment and the SDGs on the card.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 48% | +7.7 |
Follow-up, missions and reports to the agency.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 36% | +5.8 |
The local partner, the counterpart and the disagreement.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 16% | +2.9 |
Budget, currency and what stays in management.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
The context that shifts and reworking the approach.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 18% | +3.2 |
Not imposing, and accounting on both sides.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 14% | +2.2 |
| Total | 100% | 26% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- cooperation agreements
- align with SDGs
- agency reports
- southern partners
- monitoring missions
- hard-currency budget
- counterparts
- accountability
Sources for this job· O*NET 19-3094.00· ESCO/ISCO 2635