IS WORK OVER?

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

Museum 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.

TaskShareAIPoints
Sheets, routes and the teaching kit.
Estimate

No public source provides a precise figure. This is our estimate.

16%44%+7
The tour, the group that will not quiet, and the work.
Estimate

No public source provides a precise figure. This is our estimate.

18%12%+2.2
Workshops, families and Sunday at the museum.
Estimate

No public source provides a precise figure. This is our estimate.

16%32%+5.1
School, bookings and the missing mediator.
Estimate

No public source provides a precise figure. This is our estimate.

16%28%+4.5
Access, the public who do not come in, and adapting.
Estimate

No public source provides a precise figure. This is our estimate.

18%18%+3.2
That they actually look, and not reciting the label.
Estimate

No public source provides a precise figure. This is our estimate.

16%14%+2.2
Total100%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

Ice-cream maker

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.

TaskShareAIPoints
Base, overrun and the recipe.
Estimate

No public source provides a precise figure. This is our estimate.

16%44%+7
Churn, age and the one that crystals.
Estimate

No public source provides a precise figure. This is our estimate.

18%12%+2.2
List, season and the flavour that misses.
Estimate

No public source provides a precise figure. This is our estimate.

16%28%+4.5
Workshop, cold and the broken chain.
Estimate

No public source provides a precise figure. This is our estimate.

16%22%+3.5
Summer, the queue and not running out of vanilla.
Estimate

No public source provides a precise figure. This is our estimate.

18%18%+3.2
Creamy in the mouth, and not selling ice.
Estimate

No public source provides a precise figure. This is our estimate.

16%12%+1.9
Total100%22%

Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low

Skills and activities

  • churn
  • overrun
  • age bases
  • ice-cream list
  • cold chain
  • ice crystals
  • vanilla
  • ice-cream season

Sources for this job· O*NET 51-3099.00· ESCO/ISCO 7512

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