IS WORK OVER?

Automation index

How much of a Montessori teacher’s job can AI already do?

A prepared environment comes earlier. Not interrupting the child who is actually working do not.

This percentage does not predict how many people will lose their jobs.

Task comparison

Montessori teacher

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
Environment, the material and the order.
Estimate

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

16%40%+6.4
Presentation, the tray and not doing it for them.
Estimate

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

18%14%+2.5
Observe, the note and not interrupting.
Estimate

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

16%28%+4.5
Conflict, the boundary and not lecturing.
Estimate

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

16%22%+3.5
The family, the wait and not selling magic.
Estimate

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

18%18%+3.2
Not interrupting the one who is working.
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

  • prepared environment
  • Montessori material
  • presentations
  • observation
  • trays
  • not interrupt
  • not lecture
  • classroom order

Sources for this job· O*NET 25-2011.00· ESCO/ISCO 2342

Acoustics engineer

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
Reading, the map and the standard.
Estimate

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

18%48%+8.6
Works, the insulation and what was not put in.
Estimate

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

16%40%+6.4
Simulation, the model and not trusting it alone.
Estimate

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

16%22%+3.5
Report, the neighbour and not softening the dB.
Estimate

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

16%28%+4.5
The council, the licence and not dressing it.
Estimate

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

18%14%+2.5
Bring it down for real, and not selling the miracle panel.
Estimate

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

16%12%+1.9
Total100%27%

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

Skills and activities

  • noise maps
  • insulation
  • dB
  • acoustic simulations
  • standards
  • licences
  • neighbours
  • field readings

Sources for this job· O*NET 17-2199.00· ESCO/ISCO 2149

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