Automation index
How much of a Cultural manager’s job can AI already do?
A programme and a budget come earlier. Filling the room and paying the people who make it do not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Cultural manager
26%
AI can already do 26% of this job.
#202 / 633
View rankingCultural 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 |
|---|---|---|---|
Programme, fees and the venue calendar.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 44% | +7 |
Grants, paperwork and sponsorship.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 36% | +5.8 |
Artists, crew and the day the sound dies.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 16% | +2.9 |
Audience, comms and what does not fill.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
The councillor, the clash and soft censorship.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 18% | +3.2 |
Pay on time, and not leaving culture in the spreadsheet.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
- programme culture
- artist fees
- justify grants
- fill the room
- sponsorship
- deal with artists
- cultural comms
- venue budget
Sources for this job· O*NET 27-1029.00· ESCO/ISCO 2431
IS WORK OVER?
Statistician
26%
#201 / 633
View rankingStatistician
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 |
|---|---|---|---|
Model, clean and visualise.EstimateNo public source provides a precise figure. This is our estimate. | 20% | 48% | +9.6 |
Design sample, experiment and biases.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 32% | +5.1 |
Client, questions and not overfitting.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Reproducibility, code and documentation.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 18% | +2.9 |
Publication, review and data ethics.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 16% | +2.6 |
Not selling a p-value that does not hold.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
- Model, clean and visualise
- Design sample, experiment and biases
- Client, questions and not overfitting
- Reproducibility, code and documentation
- Publication, review and data ethics
- Not selling a p-value that does not hold
- estadistico
- statistician
Sources for this job· O*NET 15-2041.00· ESCO/ISCO 2120