Automation index
How much of a Ice-cream maker’s job can AI already do?
A base recipe comes earlier. Creamy in the mouth without turning to ice do not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Ice-cream maker
22%
AI can already do 22% of this job.
#338 / 633
View rankingIce-cream 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 |
|---|---|---|---|
Base, overrun and the recipe.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 44% | +7 |
Churn, age and the one that crystals.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 12% | +2.2 |
List, season and the flavour that misses.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
Workshop, cold and the broken chain.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Summer, the queue and not running out of vanilla.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 18% | +3.2 |
Creamy in the mouth, and not selling ice.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 12% | +1.9 |
| Total | 100% | 22% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- churn
- overrun
- age bases
- ice-cream list
- cold chain
- ice crystals
- vanilla
- ice-cream season
Sources for this job· O*NET 51-3099.00· ESCO/ISCO 7512
IS WORK OVER?
BI analyst
34%
#18 / 633
View rankingBI analyst
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 |
|---|---|---|---|
Model data, light ETL and dashboards.EstimateNo public source provides a precise figure. This is our estimate. | 24% | 58% | +13.9 |
Write SQL, measures and docs.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 50% | +9 |
Define KPIs with the business and negotiate meaning.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Present insights and defend the number.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 18% | +2.9 |
Data quality, alerts and lineage.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 15% | +2.1 |
Prioritise requests and say no.EstimateNo public source provides a precise figure. This is our estimate. | 12% | 20% | +2.4 |
| Total | 100% | 34% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- Model data, light ETL and dashboards
- Write SQL, measures and docs
- Present insights and defend the number
- Data quality, alerts and lineage
- Prioritise requests and say no
- business intelligence
- analista bi
- power bi
- looker
Sources for this job· O*NET 15-2051.00· ESCO/ISCO 2511