Automation index
How much of a Brewer’s job can AI already do?
A recipe and a fermentation check come earlier. Tasting the tank and deciding the hops do not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Brewer
25%
AI can already do 25% of this job.
#243 / 633
View rankingBrewer
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 |
|---|---|---|---|
Recipes, mash and the beer’s profile.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
Boil, hops and the drop to fermenter.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 22% | +4 |
Taste tanks, dry hop and when to pack.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 18% | +3.2 |
CIP, quality and plant microbiology.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 32% | +5.1 |
Packaging, batches and what hits the bar.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
The recipe call and owning the batch.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 14% | +2.2 |
| Total | 100% | 25% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- brew beer
- mash
- hop the wort
- taste tanks
- fermentation
- CIP
- package beer
- sign the batch
Sources for this job· O*NET 51-9012.00· ESCO/ISCO 8160
IS WORK OVER?
Statistician
26%
#201 / 633
View rankingStatistician
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, clean and visualise.EstimateNo public source provides a precise figure. This is our estimate. | 20% | 48% | +9.6 |
Design sample, experiment and biases.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 32% | +5.1 |
Client, questions and not overfitting.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Reproducibility, code and documentation.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 18% | +2.9 |
Publication, review and data ethics.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 16% | +2.6 |
Not selling a p-value that does not hold.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
- Model, clean and visualise
- Design sample, experiment and biases
- Client, questions and not overfitting
- Reproducibility, code and documentation
- Publication, review and data ethics
- Not selling a p-value that does not hold
- estadistico
- statistician
Sources for this job· O*NET 15-2041.00· ESCO/ISCO 2120