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 / 623
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?
Data engineer
31%
#36 / 623
View rankingData engineer
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 |
|---|---|---|---|
Design pipelines, models and orchestration.EstimateNo public source provides a precise figure. This is our estimate. | 24% | 50% | +12 |
Write SQL, Spark and data tests.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 45% | +8.1 |
Incidents, quality and lineage in production.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Talk to analysts and negotiate data contracts.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 18% | +2.9 |
Cloud cost, permissions and PII.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 15% | +2.1 |
Decide architecture and technical debt.EstimateNo public source provides a precise figure. This is our estimate. | 12% | 20% | +2.4 |
| Total | 100% | 31% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- Design pipelines, models and orchestration
- Write SQL, Spark and data tests
- Cloud cost, permissions and PII
- Decide architecture and technical debt
- ingeniero de datos
- data engineer
- etl
Sources for this job· O*NET 15-1243.00· ESCO/ISCO 2511