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?
Last-mile manager
26%
#216 / 643
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