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 / 623
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?
Hydraulic engineer
27%
#164 / 623
View rankingHydraulic 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 |
|---|---|---|---|
Hydrology, flows and the floodplain model.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 48% | +8.6 |
Field, section and what LiDAR misses.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Drainage works, pumps and the outfall.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 36% | +5.8 |
Water permits and the river authority.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
The flood, the village and the yes to the channel.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
That it does not flood, and not trusting the model alone.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 12% | +1.9 |
| Total | 100% | 27% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- model floodplains
- flows
- drainage
- channel works
- water permits
- pumps
- channel sections
- river authority
Sources for this job· O*NET 17-2051.00· ESCO/ISCO 2142