IS WORK OVER?

Automation index

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

A shopping list writes itself. Someone else’s house, a trust, and a back do not.

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

Task comparison

Domestic worker

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
Lists, online shopping and written errands.
Estimate

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

14%30%+4.2
Menus and pantry organisation.
Estimate

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

12%22%+2.6
Clean, cook, iron and tidy.
Estimate

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

26%8%+2.1
Care for elders or children of the house.
Estimate

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

16%10%+1.6
Trust, keys and boundaries.
Estimate

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

16%12%+1.9
Relationship with the employing family.
Estimate

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

16%14%+2.2
Total100%15%

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

Skills and activities

  • Lists, online shopping and written errands
  • Menus and pantry organisation
  • Clean, cook, iron and tidy
  • Care for elders or children of the house
  • Trust, keys and boundaries
  • Relationship with the employing family
  • empleada de hogar
  • interno
  • domestic worker
  • trabajadora del hogar

Sources for this job· O*NET 39-9011.00· ESCO/ISCO 9111

Tram driver

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
Checks, log and the cab.
Estimate

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

16%32%+5.1
Drive, stops and the pedestrian who steps out.
Estimate

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

24%8%+1.9
Badly parked car, calls and Control.
Estimate

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

16%22%+3.5
Timetable, reliefs and rush hour.
Estimate

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

16%28%+4.5
The tourist, the bike and not over-hooting.
Estimate

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

14%18%+2.5
Hit nobody, and make the terminus.
Estimate

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

14%12%+1.7
Total100%19%

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

Skills and activities

  • drive trams
  • urban stops
  • pedestrians
  • badly parked cars
  • Control
  • rush hour
  • cab checks
  • terminus

Sources for this job· O*NET 53-4041.00· ESCO/ISCO 8311

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