IS WORK OVER?

Automation index

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

A shift sheet comes earlier. Lifting the one who cannot, and not leaving them alone, do not.

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

Task comparison

Geriatric aide

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
Shift, the sheet and the diets.
Estimate

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

16%32%+5.1
Hygiene, the bed and the one who resists.
Estimate

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

22%8%+1.8
Transfer, the hoist and not hurting.
Estimate

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

16%22%+3.5
Eating, the choke and staying on it.
Estimate

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

16%28%+4.5
The family, the complaint and not arguing in the corridor.
Estimate

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

16%18%+2.9
Lift them, and not leaving them alone.
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

  • bed hygiene
  • hoist transfer
  • choking
  • care-home shifts
  • pureed diets
  • geriatric aide work
  • repositioning
  • being there

Sources for this job· O*NET 31-1131.00· ESCO/ISCO 5321

Traffic 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
Counts, the model and the microsim.
Estimate

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

18%48%+8.6
Junction, the timings and the pedestrian.
Estimate

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

16%40%+6.4
Works, the diversion and not choking the neighbourhood.
Estimate

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

16%22%+3.5
Report, the councillor and not painting the miracle lane.
Estimate

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

16%28%+4.5
The crash, the figure and not hiding it.
Estimate

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

18%14%+2.5
That the junction does not kill, and not painting extra.
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

  • microsims
  • counts
  • junction timings
  • pedestrians
  • diversions
  • councillors
  • crashes
  • lanes

Sources for this job· O*NET 17-2051.00· ESCO/ISCO 2142

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