Automation index
How much of a Museum educator’s job can AI already do?
A teaching sheet comes earlier. Thirty schoolchildren in front of the work, actually looking, do not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Museum educator
24%
AI can already do 24% of this job.
#264 / 623
View rankingMuseum educator
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 |
|---|---|---|---|
Sheets, routes and the teaching kit.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 44% | +7 |
The tour, the group that will not quiet, and the work.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 12% | +2.2 |
Workshops, families and Sunday at the museum.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 32% | +5.1 |
School, bookings and the missing mediator.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
Access, the public who do not come in, and adapting.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 18% | +3.2 |
That they actually look, and not reciting the label.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 14% | +2.2 |
| Total | 100% | 24% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- school tours
- teaching sheets
- museum workshops
- cultural mediation
- group bookings
- access
- families at the museum
- learning routes
Sources for this job· O*NET 25-4012.00· ESCO/ISCO 2621
IS WORK OVER?
Route planner
28%
#112 / 623
View rankingRoute planner
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 |
|---|---|---|---|
Optimise, windows and capacity.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 52% | +9.4 |
Restrictions, tolls and the right vehicle.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
The salesperson who promises and the plan that will not.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Recalc, incidents and the next day.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
The warehouse, the cut-off and not leaving the last one.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
That it fits, and not blowing the hours.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
- optimise routes
- delivery windows
- tolls
- vehicle capacity
- recalc
- traffic restrictions
- warehouse cut-off
- driving hours
Sources for this job· O*NET 13-1081.00· ESCO/ISCO 4323