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

Histology technician

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
Intake, the pot and not mixing cases.
Estimate

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

16%32%+5.1
Process, embed and the block.
Estimate

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

22%8%+1.8
Cut, the knife and the one that falls apart.
Estimate

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

16%22%+3.5
Stain, the control and the one that will not take.
Estimate

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

16%28%+4.5
The pathologist, the rush and not sending a bad cut.
Estimate

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

16%18%+2.9
Not losing the diagnosis on the knife.
Estimate

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

14%12%+1.7
Total100%19%

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

Skills and activities

  • paraffin blocks
  • histology cutting
  • stains
  • tissue processor
  • not mix cases
  • microtome knife
  • stain controls
  • embedding

Sources for this job· O*NET 29-2012.00· ESCO/ISCO 3212

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