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?
Cartographer
31%
#31 / 633
View rankingCartographer
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 |
|---|---|---|---|
Sources, OSM, satellite and generalisation.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 52% | +9.4 |
Symbology, type and visual hierarchy.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 48% | +7.7 |
Projections, scales and getting the heights right.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
Review with the client, the field and the lie in the data.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 18% | +3.2 |
Print maps, web maps and updates.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Credit, metadata and owning the map.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 14% | +2.2 |
| Total | 100% | 31% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- make maps
- generalise cartography
- symbology
- choose projection
- visual hierarchy
- update OSM
- web maps
- maps that do not lie
Sources for this job· O*NET 17-1021.00· ESCO/ISCO 2165