IS WORK OVER?

Automation index

How much of a Early childhood educator’s job can AI already do?

An activity sheet writes itself. Holding twenty three-year-olds, a nappy, and a parent does not.

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

Task comparison

Early childhood 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
Plan activities, reports and rubrics.
Estimate

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

16%32%+5.1
Write to families.
Estimate

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

14%22%+3.1
Care, play and hold the room.
Estimate

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

24%6%+1.4
Hygiene, meals and naps.
Estimate

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

16%10%+1.6
Watch development and talk to the family.
Estimate

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

16%12%+1.9
Coordinate staff and safeguarding.
Estimate

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

14%14%+2
Total100%15%

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

Skills and activities

  • Plan activities, reports and rubrics
  • Write to families
  • Care, play and hold the room
  • Hygiene, meals and naps
  • Watch development and talk to the family
  • Coordinate staff and safeguarding
  • educador infantil
  • maestro de infantil
  • preschool
  • jardin de infancia

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

Colourist

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
Look, stills and the reference.
Estimate

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

18%48%+8.6
Session, nodes and the hard shot.
Estimate

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

16%40%+6.4
Skin, sky and not eating the set.
Estimate

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

16%22%+3.5
Delivery, HDR and the one that misses in the theatre.
Estimate

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

16%28%+4.5
The director, the ego and not loading the orange.
Estimate

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

18%14%+2.5
Skin holds, and the look does not lie.
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

  • looks
  • nodes
  • skin
  • HDR
  • stills
  • the colour bay
  • hard shots
  • look references

Sources for this job· O*NET 27-4032.00· ESCO/ISCO 3521

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