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 / 633
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?
Agile coach
24%
#257 / 633
View rankingAgile coach
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 |
|---|---|---|---|
Boards, metrics and the cadence design.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
The real retro and the elephant in the room.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
Train, unblock and the manager who will not let go.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 32% | +5.1 |
Scale, dependencies and fake agile.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
Conflict, power and not selling extra frameworks.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 18% | +3.2 |
That they stop faking it, and not inflating velocity.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
- retros
- agile cadence
- unblock teams
- flow metrics
- fake agile
- agile training
- dependencies
- velocity
Sources for this job· O*NET 13-1111.00· ESCO/ISCO 2421