Automation index
How much of a Ham carver’s job can AI already do?
A carving protocol comes earlier. Thin slices without wasting the leg do not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Ham carver
19%
AI can already do 19% of this job.
#488 / 633
View rankingHam carver
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 |
|---|---|---|---|
Pick the leg, marbling and the cure point.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 32% | +5.1 |
Slice, the hand and the one who wants it thick.EstimateNo public source provides a precise figure. This is our estimate. | 22% | 8% | +1.8 |
Use it, shrink and the bone.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
Event, the plate and the bar rhythm.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
The client, the photo and not making a show of it.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 18% | +2.9 |
Thin for real, and not wasting the cushion.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 12% | +1.7 |
| Total | 100% | 19% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- slice ham
- marbling
- the hand
- use the leg
- events
- the bone
- cure point
- the cushion
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