Automation index
How much of a Choreographer’s job can AI already do?
A notation and a video come earlier. Making a body tell something does not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Choreographer
18%
AI can already do 18% of this job.
#572 / 643
View rankingChoreographer
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 |
|---|---|---|---|
Notation, video and a first breakdown.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 32% | +5.1 |
Rehearse, mark and adjust bodies.EstimateNo public source provides a precise figure. This is our estimate. | 22% | 8% | +1.8 |
Cast, ego and injuries.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 18% | +2.9 |
Set, light and music.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Opening, tour and revival.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 16% | +2.6 |
Not breaking a dancer for an idea.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 14% | +2 |
| Total | 100% | 18% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- Notation, video and a first breakdown
- Rehearse, mark and adjust bodies
- Cast, ego and injuries
- Set, light and music
- Opening, tour and revival
- Not breaking a dancer for an idea
- coreografo
- choreographer
Sources for this job· O*NET 27-2032.00· ESCO/ISCO 2653
IS WORK OVER?
Development cooperation officer
26%
#217 / 643
View rankingDevelopment cooperation officer
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 |
|---|---|---|---|
Agreements, alignment and the SDGs on the card.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 48% | +7.7 |
Follow-up, missions and reports to the agency.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 36% | +5.8 |
The local partner, the counterpart and the disagreement.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 16% | +2.9 |
Budget, currency and what stays in management.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
The context that shifts and reworking the approach.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 18% | +3.2 |
Not imposing, and accounting on both sides.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
- cooperation agreements
- align with SDGs
- agency reports
- southern partners
- monitoring missions
- hard-currency budget
- counterparts
- accountability
Sources for this job· O*NET 19-3094.00· ESCO/ISCO 2635