Automation index
How much of a Dancer’s job can AI already do?
A video and a mark come earlier. The body eight shows, and not breaking, do not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Dancer
16%
AI can already do 16% of this job.
#609 / 643
View rankingDancer
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 |
|---|---|---|---|
Learn, mark and memorise.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
Rehearse and perform.EstimateNo public source provides a precise figure. This is our estimate. | 24% | 6% | +1.4 |
Body, physio and rest.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 12% | +1.9 |
Casting, agents and life between jobs.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Company, ego and tour.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 18% | +2.5 |
Not dancing injured because you stayed quiet.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 14% | +2 |
| Total | 100% | 16% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- Learn, mark and memorise
- Rehearse and perform
- Body, physio and rest
- Casting, agents and life between jobs
- Company, ego and tour
- bailarin
- bailarina
- dancer
Sources for this job· O*NET 27-2031.00· ESCO/ISCO 2653
IS WORK OVER?
Data architect
28%
#83 / 643
View rankingData architect
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 |
|---|---|---|---|
Models, lineage and the catalogue.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 52% | +9.4 |
Pipelines, quality and the data contract.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
The analyst who finds nothing and the mess.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Privacy, retention and the field you cannot keep.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
The business, shadow IT and not building another lake.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
That it gets used, and not letting raw data rot.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 12% | +1.9 |
| Total | 100% | 28% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- model data
- lineage
- data catalogue
- data contracts
- pipeline quality
- retention
- data lakes
- privacy
Sources for this job· O*NET 15-1243.00· ESCO/ISCO 2511