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.
#479 / 633
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?
Mobile developer
28%
#92 / 633
View rankingMobile developer
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 |
|---|---|---|---|
Screens, API and offline state.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 52% | +9.4 |
Store review, crashlytics and ANRs.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
Real device, the notch and fragmented Android.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
CI, tests and the week's release.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
Product, the redesign and not breaking what people use.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
That it does not crash, and not ignoring the one-star.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 12% | +1.9 |
| Total | 100% | 28% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- build apps
- ship to stores
- crashlytics
- offline state
- ANRs
- mobile tests
- fragmented Android
- store review
Sources for this job· O*NET 15-1252.00· ESCO/ISCO 2514