Automation index
How much of a Props master’s job can AI already do?
A props list comes earlier. The object being there, working and not breaking on stage do not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Props master
19%
AI can already do 19% of this job.
#488 / 643
View rankingProps master
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 |
|---|---|---|---|
List, references and the budget.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 32% | +5.1 |
Make, adapt and the one that will not fit the hand.EstimateNo public source provides a precise figure. This is our estimate. | 22% | 8% | +1.8 |
Rehearsal, the change and the one that vanishes.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Show, tables and the preset.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
The actor, the whim and not improvising the weapon.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 18% | +2.9 |
That it is there, and not breaking on stage.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
- props lists
- presets
- adapt objects
- props rehearsals
- show tables
- stage weapons
- references
- props budget
Sources for this job· O*NET 27-1027.00· ESCO/ISCO 3435
IS WORK OVER?
Shepherd
18%
#585 / 643
View rankingShepherd
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 |
|---|---|---|---|
Route, grazing and the day’s log.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
Flock, dogs and the wolf.EstimateNo public source provides a precise figure. This is our estimate. | 24% | 6% | +1.4 |
Shearing, lambing and the one that stays.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Cheese, milk and dealing with the dairy.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
The hill, the snow and not missing the pass.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 18% | +2.5 |
The whole flock, and not leaving one behind.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 10% | +1.4 |
| Total | 100% | 18% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- run the flock
- sheepdogs
- lambing
- shearing
- the wolf
- passes
- ewe’s milk
- hill grazing
Sources for this job· O*NET 45-2093.00· ESCO/ISCO 6121