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

Last-mile manager

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
Zones, capacity and route cuts.
Estimate

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

16%44%+7
KPIs, first attempt and incidents.
Estimate

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

16%36%+5.8
The courier, the lobby and the one who will not open.
Estimate

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

18%16%+2.9
Peaks, rain and hiring too many or too few.
Estimate

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

16%28%+4.5
The angry customer and not dressing delivered.
Estimate

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

18%18%+3.2
Cover the peak, and not leaving the neighbourhood orphaned.
Estimate

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

16%14%+2.2
Total100%26%

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

Skills and activities

  • delivery zones
  • first attempt
  • delivery KPIs
  • last-mile peaks
  • lobbies
  • delivery incidents
  • courier capacity
  • cut routes

Sources for this job· O*NET 11-3071.00· ESCO/ISCO 1324

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