Automation index
How much of a Butcher’s job can AI already do?
Labelling and charging is shorter. Breaking down a carcass, sharpening, and advising a roast for eight is not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Butcher
16%
AI can already do 16% of this job.
#610 / 643
View rankingButcher
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 |
|---|---|---|---|
Slaughterhouse orders, traceability and labels.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 32% | +5.1 |
Break down, bone and prep.EstimateNo public source provides a precise figure. This is our estimate. | 22% | 8% | +1.8 |
Counter, custom cuts and advice.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 10% | +1.8 |
Till, offers and waste.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 18% | +2.9 |
Hygiene, cold room and sharpening.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 15% | +2.1 |
Prepared: burger, marinade, sausage.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 16% | +2.2 |
| Total | 100% | 16% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- Break down, bone and prep
- Counter, custom cuts and advice
- Till, offers and waste
- Hygiene, cold room and sharpening
- Prepared: burger, marinade, sausage
- carnicer
- butcher
- despiece
Sources for this job· O*NET 51-3021.00· ESCO/ISCO 7511
IS WORK OVER?
Prompt engineer
34%
#21 / 643
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