IS WORK OVER?

Automation index

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

An inventory and a plan come earlier. Marking a forest and not letting it burn do not.

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

Task comparison

Forestry 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
Inventory, GIS and management plans.
Estimate

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

16%40%+6.4
Projects, felling and replanting.
Estimate

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

16%28%+4.5
Forest, fire and pests.
Estimate

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

18%14%+2.5
Authorities, hunters and neighbours.
Estimate

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

16%22%+3.5
Biodiversity, tracks and water.
Estimate

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

18%16%+2.9
Not signing a cut that leaves the forest empty.
Estimate

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

16%14%+2.2
Total100%22%

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

Skills and activities

  • Inventory, GIS and management plans
  • Projects, felling and replanting
  • Forest, fire and pests
  • Authorities, hunters and neighbours
  • Biodiversity, tracks and water
  • ingeniero forestal
  • forestry engineer

Sources for this job· O*NET 19-1032.00· ESCO/ISCO 2132

Tow-truck 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
Call, route and the vehicle type.
Estimate

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

16%36%+5.8
Hard shoulder, hook and traffic that will not stop.
Estimate

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

22%8%+1.8
Hydraulics, bed and the low car that scrapes.
Estimate

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

16%22%+3.5
Garage, the note and the client who argues.
Estimate

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

16%28%+4.5
Night, rain and not becoming the next crash.
Estimate

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

16%18%+2.9
Not making the crash worse, and signing the hook.
Estimate

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

14%12%+1.7
Total100%20%

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

Skills and activities

  • hook vehicles
  • hard shoulder
  • the bed
  • recovery calls
  • crane hydraulics
  • recovery notes
  • traffic
  • low cars

Sources for this job· O*NET 53-3032.00· ESCO/ISCO 8332

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