Automation index
How much of a Cider maker’s job can AI already do?
A must analysis comes earlier. Fermenting and pouring at the point do not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Cider maker
22%
AI can already do 22% of this job.
#379 / 633
View rankingCider 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 |
|---|---|---|---|
Apple, mill and the must.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
Press, ferment and the one that sours.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
Rack, the gas and the pour point.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
The cellar, this year’s cider and the bar.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
The festival, the public and not tapping early.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 18% | +3.2 |
At the point, and not selling the sour.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
- mill apples
- the press
- ferment cider
- pour from height
- rack
- the cider bar
- must
- barrels
Sources for this job· O*NET 51-9012.00· ESCO/ISCO 8160
IS WORK OVER?
Prompt engineer
34%
#21 / 633
View rankingPrompt engineer
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 |
|---|---|---|---|
Design prompts, tools and chains.EstimateNo public source provides a precise figure. This is our estimate. | 24% | 58% | +13.9 |
Evals, datasets and regressions.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 52% | +9.4 |
Integrate with product and safety limits.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Talk to the business about a good output.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 18% | +2.9 |
Watch hallucinations, bias and cost.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 20% | +2.8 |
Decide what the model gets, and what it does not.EstimateNo public source provides a precise figure. This is our estimate. | 12% | 16% | +1.9 |
| Total | 100% | 34% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- Design prompts, tools and chains
- Evals, datasets and regressions
- Integrate with product and safety limits
- Talk to the business about a good output
- Watch hallucinations, bias and cost
- prompt engineer
- ingeniero de prompts
- llm engineer
Sources for this job· O*NET 15-1252.00· ESCO/ISCO 2512