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

Prompt 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
Design prompts, tools and chains.
Estimate

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

24%58%+13.9
Evals, datasets and regressions.
Estimate

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

18%52%+9.4
Integrate with product and safety limits.
Estimate

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

16%22%+3.5
Talk to the business about a good output.
Estimate

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

16%18%+2.9
Watch hallucinations, bias and cost.
Estimate

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

14%20%+2.8
Decide what the model gets, and what it does not.
Estimate

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

12%16%+1.9
Total100%34%

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

Skills and activities

  • Design prompts, tools and chains
  • Evals, datasets and regressions
  • Integrate with product and safety limits
  • Talk to the business about a good output
  • Watch hallucinations, bias and cost
  • prompt engineer
  • ingeniero de prompts
  • llm engineer

Sources for this job· O*NET 15-1252.00· ESCO/ISCO 2512

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