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?
Salesforce administrator
28%
#77 / 633
View rankingSalesforce administrator
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 |
|---|---|---|---|
Objects, flows and permissions.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 52% | +9.4 |
Reports, dashboards and data clean-up.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
The rep who will not log in and the real process.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Releases, sandboxes and not breaking production.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
IT, legal and the field you cannot have.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
That they use it, and not inflating licences.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
- Salesforce flows
- permissions
- CRM reports
- data clean-up
- sandboxes
- custom objects
- dashboards
- sales adoption
Sources for this job· O*NET 15-1242.00· ESCO/ISCO 2522