Automation index
How much of a Stagehand’s job can AI already do?
A move plot comes earlier. Changing the set in the black without taking anyone down do not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Stagehand
19%
AI can already do 19% of this job.
#555 / 643
View rankingStagehand
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 |
|---|---|---|---|
Plot, marks and the weight.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 32% | +5.1 |
Change, blackout and the one who is late.EstimateNo public source provides a precise figure. This is our estimate. | 22% | 8% | +1.8 |
Loads, pulleys and the one that slips.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Technical rehearsal and the one who walks the light.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
The show, the surprise and not improvising loads.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 18% | +2.9 |
Take nobody down, and the change on time.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
- blackout changes
- stage marks
- pulleys
- loads
- technical rehearsal
- sets
- the show
- weights
Sources for this job· O*NET 27-2099.00· 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