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.
#241 / 753
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?
Geomatics engineer
22%
#402 / 753
View rankingGeomatics 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 |
|---|---|---|---|
Station, the base and the cloud.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
Field, the axis and the one that moved.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
Model, the drift and not hiding metres.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
Works, the setting-out and going down to see it.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
The contractor, the rush and not signing the drift.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 18% | +3.2 |
That the axis is there, and not signing metres.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
- point clouds
- total stations
- axes
- setting-out
- drift
- bases
- geomatics
- the field
Sources for this job· O*NET 17-1022.00· ESCO/ISCO 2165