IS WORK OVER?

Automation index

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

A risk report comes earlier. Climbing, pruning and not dropping the tree on the roof do not.

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

Task comparison

Arborist

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
Assess, risk and the owner’s report.
Estimate

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

16%32%+5.1
Climb, prune and the anchor.
Estimate

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

22%8%+1.8
Controlled fell and the one over the cable.
Estimate

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

16%22%+3.5
Arisings, chipping and leaving it clean.
Estimate

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

16%28%+4.5
The neighbour, the permit and not entering their plot.
Estimate

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

16%18%+2.9
Not dropping it on the roof, and coming down whole.
Estimate

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

14%10%+1.4
Total100%19%

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

Skills and activities

  • crown work
  • climb
  • controlled fell
  • risk report
  • anchors
  • chipping
  • cables
  • felling permits

Sources for this job· O*NET 37-3013.00· ESCO/ISCO 6113

Home-automation installer

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
Diagram, buses and scene programming.
Estimate

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

16%40%+6.4
Wire, sensors and the switch that does not answer.
Estimate

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

18%14%+2.5
Integrate lights, climate and the client app.
Estimate

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

16%32%+5.1
Train, guest mode and the one who breaks it.
Estimate

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

16%22%+3.5
The lived-in house and not leaving it dark.
Estimate

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

18%18%+3.2
That it obeys, and not needing the cloud for a switch.
Estimate

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

16%12%+1.9
Total100%23%

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

Skills and activities

  • program scenes
  • home buses
  • integrate climate
  • sensors
  • home app
  • switches
  • guest mode
  • wire KNX

Sources for this job· O*NET 47-2111.00· ESCO/ISCO 7411

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