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

Last-mile manager

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
Zones, capacity and route cuts.
Estimate

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

16%44%+7
KPIs, first attempt and incidents.
Estimate

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

16%36%+5.8
The courier, the lobby and the one who will not open.
Estimate

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

18%16%+2.9
Peaks, rain and hiring too many or too few.
Estimate

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

16%28%+4.5
The angry customer and not dressing delivered.
Estimate

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

18%18%+3.2
Cover the peak, and not leaving the neighbourhood orphaned.
Estimate

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

16%14%+2.2
Total100%26%

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

Skills and activities

  • delivery zones
  • first attempt
  • delivery KPIs
  • last-mile peaks
  • lobbies
  • delivery incidents
  • courier capacity
  • cut routes

Sources for this job· O*NET 11-3071.00· ESCO/ISCO 1324

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