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?
Agile coach
24%
#262 / 643
View rankingAgile coach
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 |
|---|---|---|---|
Boards, metrics and the cadence design.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
The real retro and the elephant in the room.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
Train, unblock and the manager who will not let go.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 32% | +5.1 |
Scale, dependencies and fake agile.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
Conflict, power and not selling extra frameworks.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 18% | +3.2 |
That they stop faking it, and not inflating velocity.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 14% | +2.2 |
| Total | 100% | 24% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- retros
- agile cadence
- unblock teams
- flow metrics
- fake agile
- agile training
- dependencies
- velocity
Sources for this job· O*NET 13-1111.00· ESCO/ISCO 2421