Automation index
How much of a Stage manager’s job can AI already do?
A prompt book comes earlier. Calling the cue so the show goes up do not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Stage manager
22%
AI can already do 22% of this job.
#375 / 633
View rankingStage manager
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 |
|---|---|---|---|
Book, cues and the day’s plan.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
Show, the delay and the one who is not there.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
Rehearsals, changes and updating the book.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
Crews, the clash and not missing the cue.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Opening, nerves and not bringing the curtain early.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 18% | +3.2 |
That the show goes up, and the cue on time.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 12% | +1.9 |
| Total | 100% | 22% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- prompt book
- cues
- show plan
- rehearsals
- crews
- opening night
- curtain
- rehearsal changes
Sources for this job· O*NET 27-2012.00· 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