IS WORK OVER?

Automation index

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

A GPS set-out comes earlier. Not breaking the pipe that is not on the drawing do not.

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

Task comparison

Excavator operator

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
Set-out, levels and the machine log.
Estimate

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

16%32%+5.1
Dig, load and the batter that comes in.
Estimate

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

24%6%+1.4
Services, the blind pipe and stopping in time.
Estimate

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

16%22%+3.5
Maintenance, grease and the pin that snaps.
Estimate

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

16%28%+4.5
The labourer, the lorry and covering nobody.
Estimate

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

14%18%+2.5
Not breaking what is buried, and leaving a clean formation.
Estimate

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

14%10%+1.4
Total100%18%

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

Skills and activities

  • dig with excavator
  • load lorries
  • batters
  • buried services
  • set-out levels
  • grease the machine
  • formation
  • site GPS

Sources for this job· O*NET 47-2073.00· ESCO/ISCO 8342

Community health 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
Health map, workshops and the calendar.
Estimate

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

16%40%+6.4
Street, doorway and the neighbour who does not come.
Estimate

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

18%14%+2.5
Vaccines, screening and referring to the clinic.
Estimate

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

16%32%+5.1
Data, report and the health table.
Estimate

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

16%28%+4.5
The rumour, the distrust and not moralising.
Estimate

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

18%18%+3.2
That they come, and not inflating workshop numbers.
Estimate

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

16%14%+2.2
Total100%24%

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

Skills and activities

  • health workshops
  • health map
  • door-to-door
  • refer to clinic
  • screening
  • health table
  • community vaccination
  • health distrust

Sources for this job· O*NET 21-1094.00· ESCO/ISCO 3253

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