Automation index
How much of a Pork butcher’s job can AI already do?
A marinade recipe comes earlier. Curing the loin and slicing the ham at the right point do not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Pork butcher
21%
AI can already do 21% of this job.
#409 / 633
View rankingPork butcher
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 |
|---|---|---|---|
Marinade, cure and the salt point.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 36% | +5.8 |
Break down, stuff and the tie.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 12% | +2.2 |
Counter, slicing and the one who wants it thin.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
Cold room, shrink and the batch that goes.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
The holiday, the order and not running out of chorizo.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 18% | +3.2 |
The ham’s point, and not selling it too dry.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 12% | +1.9 |
| Total | 100% | 21% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- cure loins
- stuff sausage
- slice ham
- marinades
- tying
- curing room
- chorizo
- break down pork
Sources for this job· O*NET 51-3021.00· ESCO/ISCO 7511
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