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

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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