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.
#384 / 643
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?
Statistician
26%
#206 / 643
View rankingStatistician
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 |
|---|---|---|---|
Model, clean and visualise.EstimateNo public source provides a precise figure. This is our estimate. | 20% | 48% | +9.6 |
Design sample, experiment and biases.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 32% | +5.1 |
Client, questions and not overfitting.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Reproducibility, code and documentation.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 18% | +2.9 |
Publication, review and data ethics.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 16% | +2.6 |
Not selling a p-value that does not hold.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 14% | +2.2 |
| Total | 100% | 26% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- Model, clean and visualise
- Design sample, experiment and biases
- Client, questions and not overfitting
- Reproducibility, code and documentation
- Publication, review and data ethics
- Not selling a p-value that does not hold
- estadistico
- statistician
Sources for this job· O*NET 15-2041.00· ESCO/ISCO 2120