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

Aquaculturist

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
Oxygen, ration and the mortality log.
Estimate

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

16%40%+6.4
Cage, net and the escape.
Estimate

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

18%12%+2.2
Water quality, exchange and the bloom.
Estimate

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

16%28%+4.5
Vaccines, the vet and the batch that turns.
Estimate

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

16%22%+3.5
The storm, the swell and not losing the cage.
Estimate

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

18%18%+3.2
Not dying in the night, and not pushing density.
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

  • cage oxygen
  • fish ration
  • nets
  • water quality
  • aquaculture mortality
  • batch vaccines
  • swell
  • stocking density

Sources for this job· O*NET 45-1011.00· ESCO/ISCO 6221

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