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?
Last-mile manager
26%
#211 / 633
View rankingLast-mile 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 |
|---|---|---|---|
Zones, capacity and route cuts.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 44% | +7 |
KPIs, first attempt and incidents.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 36% | +5.8 |
The courier, the lobby and the one who will not open.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 16% | +2.9 |
Peaks, rain and hiring too many or too few.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
The angry customer and not dressing delivered.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 18% | +3.2 |
Cover the peak, and not leaving the neighbourhood orphaned.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
- delivery zones
- first attempt
- delivery KPIs
- last-mile peaks
- lobbies
- delivery incidents
- courier capacity
- cut routes
Sources for this job· O*NET 11-3071.00· ESCO/ISCO 1324