IS WORK OVER?

Automation index

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

A plan and an errand come earlier. A crying child, a fever, and the parents do not.

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

Task comparison

Nanny

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
Planning, errands and notes to the family.
Estimate

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

14%28%+3.9
Activities, homework and planned play.
Estimate

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

12%22%+2.6
Care, feed and settle the child.
Estimate

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

26%6%+1.6
Safety, fever and first aid.
Estimate

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

16%8%+1.3
Boundaries with parents and the house.
Estimate

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

16%10%+1.6
Bond, patience and consistency.
Estimate

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

16%12%+1.9
Total100%13%

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

Skills and activities

  • Planning, errands and notes to the family
  • Activities, homework and planned play
  • Care, feed and settle the child
  • Safety, fever and first aid
  • Boundaries with parents and the house
  • Bond, patience and consistency
  • ninera
  • nanny
  • canguro
  • au pair

Sources for this job· O*NET 39-9011.00· ESCO/ISCO 5311

Olive-oil miller

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, yield and the mill log.
Estimate

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

16%40%+6.4
Crush, malaxate and the decanter.
Estimate

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

18%12%+2.2
Temperature, time and the fruitiness.
Estimate

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

16%28%+4.5
Cellar, the batch and the one that goes rancid.
Estimate

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

16%22%+3.5
The campaign, the tractor queue and not heating.
Estimate

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

18%18%+3.2
Cold for real, and not painting the yield.
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

  • crush olives
  • malaxation
  • decanter
  • fruitiness
  • the campaign
  • mill yield
  • oil cellar
  • extraction temperature

Sources for this job· O*NET 51-3092.00· ESCO/ISCO 7514

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