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?
Varnisher
18%
#553 / 633
View rankingVarnisher
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 |
|---|---|---|---|
Colour cards, ranges and orders.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 32% | +5.1 |
Sand, stain, apply and dry.EstimateNo public source provides a precise figure. This is our estimate. | 22% | 10% | +2.2 |
Booth, filters and dust.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 14% | +2.2 |
Cabinetmaker, deadlines and touch-up.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Repairs in the home and on site.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 18% | +2.9 |
Not delivering a piece with orange peel.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 14% | +2 |
| Total | 100% | 18% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- Colour cards, ranges and orders
- Sand, stain, apply and dry
- Booth, filters and dust
- Cabinetmaker, deadlines and touch-up
- Repairs in the home and on site
- Not delivering a piece with orange peel
- barnizador
- lacador
- varnisher
Sources for this job· O*NET 51-9123.00· ESCO/ISCO 7522